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statistics & Mathematicsdata handlingdata collectingdata analysis and modelingdata visualizationdata clesningprogrammingAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: Join our customer's team as a Data Scientist and play a pivotal role in transforming data into actionable insights that drive business growth. You will leverage your expertise in statistics, mathematics, and programming to tackle challenging data problems, ensuring clean, robust, and insightful analyses. This is an exciting opportunity to work in a dynamic, expert-driven environment that values clear communication and innovative thinking. Key Responsibilities: • Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis., • Develop, validate, and implement statistical models to extract actionable insights from complex data., • Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement., • Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders., • Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery., • Continuously improve analytical methodologies and automation processes to enhance data workflows., • Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: • Expertise in statistics, mathematics, and data analysis techniques., • Proven experience in collecting, handling, and cleaning large, complex data sets., • Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling., • Strong data modeling skills with experience in building and validating predictive models., • Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries., • Meticulous attention to detail and commitment to data quality at every stage., • Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: • Experience working in a remote, cross-functional, or customer-focused team environment., • Background in developing and deploying machine learning solutions in production settings.

Employee Type: Full time Location: IL Oak Brook Job Type: Research and Development Job Posting Title: Sr. Food Scientist About Us: TreeHouse Foods is a leading manufacturer of private label packaged foods and beverages, operating a network of over 20 production facilities and several corporate offices across the United States and Canada. At TreeHouse Foods, our commitment to excellence extends beyond our products and revolves around our people. We are investing in talent and creating a performance-based culture where employees can do their best work and develop their careers, directly impacting our mission to make high quality, affordable food for our customers, communities, and families. We hope you will consider joining the team and being part of our future. Named one of America's Best Large Employers by Forbes Magazine, we are proud to live by a strong set of values and strive to "Engage and Delight - One Customer at a Time." Guided by our values-Own It, Commit to Excellence, Be Agile, Speak Up, and Better Together. We are a diverse team driven by integrity, accountability, and a commitment to exceptional results. We embrace change, prioritize continuous learning, and foster collaboration, transparency, and healthy debate. Together, we set each other up for success to achieve enterprise-wide goals. What You Gain: • Competitive compensation and benefits program with no waiting period - you're eligible from your first day!, • 401(k) program with 5% employer match and 100% vesting as soon as you enroll., • Comprehensive paid time off opportunities, including immediate access to four weeks of vacation, five sick days, parental leave and 11 company holidays (including two floating holidays)., • Leaders who are invested in supporting your accelerated career growth, plus paid training, tuition reimbursement and a robust educational platform - DevelopU - with more than 10,000 free courses to support you along the way., • An inclusive working environment where you can build meaningful work relationships with a diverse group of professionals. Take advantage of opportunities to build on our team-oriented culture, such as joining one of our Employee Resource Groups., • Access to our wellness and employee assistance programs.Job Description: About the Role: We are seeking a Senior Food Scientist to join our R&D team at our Oak Brook, Illinois corporate office. This role is responsible for leading the development and commercialization of new products, product improvements, and cost optimization initiatives across powdered beverage and dry mix categories. In this role, you will work closely with cross-functional teams including Marketing, Sales, Quality, Procurement, and Operations to deliver innovative, high-quality products that meet business and customer needs. This position offers the opportunity to lead product development from concept through commercialization while supporting innovation and continuous improvement across the organization. You'll add value to this role by performing various functions including, but not limited to: • Lead bench to plant development of new products, cost optimization initiatives, and quality improvement projects, • Create prototypes, evaluate ingredient functionality, and assess new manufacturing and supplier options, • Develop product specifications, process documentation, and technical playbooks to support scale up and production, • Support technology transfer and provide onsite support during internal and external manufacturing startups, • Apply scientific methods across experimental design, trial planning, data analysis, and interpretation, • Provide technical guidance and influence cross functional decision making, • Lead complex problem-solving efforts and support root cause analysis activities, • Partner with Marketing, Sales, Quality, Procurement, Finance, Operations, and Engineering to deliver aligned solutions, • Support customer facing technical activities including presentations and product discussions, • Contribute to innovation, productivity, and continuous improvement initiatives, • Mentor and support development of less experienced team members Important Details:, • The anticipated compensation for this position ranges from $82,600 to $123,800 annually. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics and business or organizational needs. For certain roles, the successful candidate may be eligible for annual discretionary merit compensation award, bonus and equity pay., • This is a full-time, hybrid role based in our Oak Brook, IL office. Travel up to thirty percent (30%) may be required to support plant trials, customer needs, and project work. You'll fit right in if you have:, • Bachelor's degree in Food Science, Food Engineering, or related field required, • Master's degree in Food Science, Food Engineering, or related field preferred, • Minimum of five (5) years of progressive experience in food product development with increasing scope and responsibility, • Experience in powdered beverage, dry mix, or similar product categories preferred, • Strong understanding of ingredient functionality and interactions within dry systems, • Demonstrated ability to lead product development from concept through commercialization, • Strong project management skills with the ability to manage multiple priorities and timelines, • Strong analytical and problem-solving skills, • Strong written and verbal communication skills with the ability to collaborate effectively across cross functional teams and external partners, • Experience presenting technical concepts to customers or stakeholders preferred Your TreeHouse Foods Career is Just a Click Away! Click on the "Apply" button or go directly to _ to let us know you're ready to join our team! At TreeHouse Foods, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work to help us "Engage and Delight - One Customer at a Time". TreeHouse Foods is an Equal Opportunity Employer that prohibits discrimination or harassment of any type. All qualified applicants are considered for employment without regard to race, color, national origin, age, sex, sexual orientation, gender, gender identity or expression, disability status, protected veteran status, or any other characteristic protected by law. Applicants who require an accommodation to participate in the job application or hiring process should contact _ TreeHouse Use Only: #IND1

Sleeper is one of the fastest growing sports platforms in the US.As the leader in Fantasy Sports, Sleeper’s product portfolio includes a variety of free-to-play Fantasy Sports and real money Daily Fantasy Sports (“DFS”) games and applications.Our growing list of titles spans a diverse range of

Our mission at Oura is to empower every person to own their inner potential.Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app.We've helped millions of people understand and impro

We are looking for a talented individual to join the Core Data Science team at LaunchDarkly – a small but mighty team responsible for core methodology within our product line.

As a Senior Data Scientist at Gopuff working on the Delivery Technology Team, you will lead the vision and delivery of data driven models to optimize the delivery experience for consumers and delivery partners on our platform across dispatch optimization, delivery routing/ETAs, driver pricing/incent

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music, podcasts, and audiobooks better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We are looking for a Data Scientist to join the AI Foundations team to evaluate generative AI models and their impact on users. You will collaborate with cross-functional teams of engineers, research scientists, product managers, and tech leads to ensure that we are making product and technology decisions grounded in data. In this role, you will bring a deep understanding of user behavior into the development and evaluation of Spotify’s foundational AI products. • Perform analyses on AI models and user behavior to help drive strategic and product decisions, • Define and report on key performance metrics to measure the health and success of our products, • Design and analyze experiments and perform causal inference when A/B testing is not an option, • Contribute to novel methodologies for AI model evaluation and measurement, including offline evaluation and LLM-as-a-judge techniques, • Communicate complex technical findings to diverse stakeholders, • You have experience in a hands-on data science role, preferably in an AI or ML team, • You have the technical competence to perform advanced analytics: coding skills (Python or R), experience with analytics and visualization tools (SQL, Tableau, ggplot/matplotlib or equivalent), and experience performing analysis with large datasets, including the use of AI tools for data science, • Strong communication and presentation skills, with an emphasis on storytelling with data, • You are a self-driven person who’s capable of tackling loosely defined problems and driving strategic impact, • Excited to be at the forefront of Spotify’s AI-first product evolution, with a focus on innovation, iteration, and impact, • We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have _, • This team operates within the Eastern Standard time zone for collaboration.The United States base range for this position is $110,018 - $157,169 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.

About Us About the Role We are looking for a data scientist who will bring a deep understanding of our sportswriting, our in-game experience, and the way our subscribers use The Athletic to help us make our best-in-class product even better. In this role, you will work closely with our data, product, growth, and engineering teams to develop advanced machine learning models. These models will help us understand our business, optimize and automate our workflows, and have our product make smarter recommendations. As a member of our small data science team, your work will have a significant impact at The Athletic. This role is 100% remote for candidates currently residing in either the United States or Canada. • Design, build, and implement mathematical models to drive key long-term product goals, like training a model that predicts which of our free users are most likely to subscribe, or recommending the right articles to the right users at the right time., • Lead projects with hands-on analysis and modeling, drawing from multiple analytical methods to choose the right tool and right level of complexity appropriate for the job., • Use quantitative analysis to deeply understand what our users are saying, and to develop recommendations based on that analysis., • Design and develop data science pipelines in production., • Guide complex experiments., • Cultivate an outstanding data science environment., • 2-4 years of experience as a data scientist or data analyst with a proven ability to apply scientific methods to solve real-world problems on web scale data., • Strong working knowledge of a scripting language like R or Python and how to use it to train machine learning models and put them into production., • A solid understanding of SQL with an ability to efficiently pull and write to our data warehouses., • An understanding of subscription media and recommendation engines, with the ability to turn it into insights and optimizations., • Knowledge of statistical principles and how they apply to predictive modeling., • Strong verbal and written communication skills with ability to build cross-functional relationships., • Can explain sophisticated concepts to diverse audiences and craft compelling stories with data.The annual base salary range for this role is $125,000.00 - $135,000.00 USD. The total compensation offered for this position may vary based on factors such as education, experience, skills, and location. It may also include non-cash rewards and benefits. The base salary range is subject to change and may be modified in the future. The Athletic offers unique perks and benefits to all full-time employees based on their country of residence. Our comprehensive US benefits package includes: • Highly competitive, employer-contributed medical, dental, vision, basic life and disability insurance plans.- Savings accounts for medical, wellness, and childcare expenses.- 401k retirement savings plan and employer match.- Paid time off including paid sick leave, 12 paid holidays, 15 days of accrued vacation to start, and up to 20 weeks of Paid Parental Leave. For international candidates: Our global benefits packages offer similar benefits and perks, competitive to the local market. The Athletic Media Company is an equal opportunity employer and enthusiastically encourages people from all backgrounds and experiences to apply. The Athletic will consider all applicants without regard to race, religion, color, national origin, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other protected characteristic under applicable law. Click here to review our _, which describes how and when The Athletic Media Company collects, uses, and shares certain personal information of job applicants and prospective employees. Beware of fraudulent job recruiting schemes! Our recruiters use exclusively, and our team members will use an email address with @ domain. We do not conduct interviews via text or instant message and we do not ask candidates to download software, to purchase equipment through us, or to provide sensitive personally identifiable information, such as bank accounts or social security numbers. If you have been contacted by someone claiming to be a member of the recruiting/HR team at The Athletic but operating from a different email address about a job offer, please report it as potential job fraud to the law enforcement and to _.

About Extend: Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits. Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco. About the Role: The Revenue Analytics team is focused on developing strategic recommendations grounded in data to scale, drive, and recover revenue. We are experts at synthesizing different contexts from Sales, Growth, Product, Engineering, and Risk to identify growth and expansion opportunities that directly drive the company’s bottom line. If you have a passion for breaking down complexity and ambiguity into quantifiable impact, you’ll thrive on our team. What You Will Be Doing: • Cross-functional Champion: Independently lead cross-functional teams through ambiguous questions to influence and implement revenue driving initiatives and recommendations., • Revenue Optimization: Own and identify innovative new strategies to maximize revenue and enhance client acquisition throughout the entire revenue waterfall., • Data-driven Insights: Lead the charge in improving our quantitative analysis techniques (simulation models, A/B testing, causal impact analysis, etc.) to better influence audiences on strategic direction, with opportunities to present these insights to leadership on a regular basis., • Data Infrastructure: Own, refine, and improve existing data pipelines to harness the power of data analytics, defining data structures, and leveraging advanced tracking methodologies to uncover revenue opportunities., • Role Model: Set the standard for the team in terms of analytical thinking and excellence. What We’re Looking For: • 5+ years experience in data science and/or consulting with strong emphasis on breaking down business problems into data driven impact., • Standout written and verbal communication skills who excels at sharing data insights to audiences of all backgrounds, • Expert knowledge of SQL, Python, A/B testing, and Github, • Intellectually curious, willing to think beyond just the revenue organization and prioritize what is best for the business holistically, • Empathetic, humble, and collaborative team player, • Advanced degree in data science, analytics, economics, statistics or similar quantitative field, • Candidates must be located within the continental United States Expected Pay Range: $125,000 - $135,000 per year salaried* • The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience. Life at Extend: • Working with a great team from diverse backgrounds in a collaborative and supportive environment., • Competitive salary based on experience, with full medical and dental & vision benefits., • Stock in an early-stage startup growing quickly., • Generous, flexible paid time off policy., • 401(k) with Financial Guidance from Morgan Stanley. _

Arcadia is the global utility data and energy solutions platform. With our leading data platform, AI-powered analytics, industry expertise, and expansive partner network, we deliver solutions for every stage of the enterprise energy management lifecycle across carbon, cost, and reliability. Arcadia’s Enterprise Energy Management Solutions are built on a foundational data platform that has been developed for over a decade and scaled across millions of customer facilities. We transform fragmented data and siloed processes into coordinated, enterprise-wide action with comprehensive solutions including: • Utility Bill Management: Lower utility costs and streamline bill management with automated bill payment, proactive error identification, optimized tariff structures, and budgeting & forecasting., • Energy Procurement Advisory: Source clean energy through a comprehensive evaluation of supply options - including traditional retail options and onsite and offsite resources — to effectively manage risks, reduce costs, and achieve corporate sustainability goals., • Sustainability Reporting: Achieve compliance goals and track carbon emissions with standardized energy data and seamless integration with leading sustainability platforms. Tackling an enterprise client’s most critical energy challenges requires out-of-the-box thinking & diverse perspectives. We’re building a team of individuals from different backgrounds, industries, & educational experiences. If you share our passion for ushering in the era of the clean, cost-effective electrons, we look forward to learning what you would uniquely bring to Arcadia! What we’re looking for: We are seeking an innovative and results-oriented Lead Data Scientist with a strong understanding of machine learning, generative AI, and data-driven product development to join our dynamic AI Strategy and Development Team. This pivotal role focuses on architecting and implementing cutting-edge AI solutions for the energy sector, working directly with leadership to shape our technical vision and product roadmap. This role will initially report to SVP, R&D. Arcadia is remote-first and employees have access to co-working spaces. We are open to candidates based in Washington DC or New York. #LI-REMOTE • Collaborate directly with executive leadership to shape the technical AI strategy and product development at Arcadia, • Efficiently develop notebook-based and agentic solutions for internal and external customers, utilizing AI models, and Arcadia’s APIs and data, • Lead the development and integration of Gen-AI models and agents into Arcadia’s products and processes, • Design and implement Machine Learning algorithms for critical energy applications, including forecasting, anomaly detection, and energy optimization, • Partner with data teams, Arcadia’s subject matter experts, and customer teams to seek, understand, validate, interpret, and correctly use data, models, and outputs., • Work with engineering to integrate models into the Arcadia Platform, contributing to design documents, code commits, and AI product documentation, • Contribute code to enhance our platform’s AI and data capabilities, • Collaborate effectively with remote team members, • Gen AI experience - both in the development of agentic / LLM-based product features and the use of Gen AI-based products in day-to-day model development, • 2-5 years of experience developing Machine Learning/AI-based systems in an iiterative or dynamic/agile development environment. Experience in the energy sector is preferred., • A minimum of 10-12 years of technical experience in data and/or engineering, • Master’s or Doctoral degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields., • Practical experience with Applied Machine Learning techniques, including regression, classification, and supervised/unsupervised learning, • Fluency with Python or R, SQL, and Java or JavaScript, • Experience with software engineering for real-world applications (ideally through professional experience), • Strong foundation in mathematics including, linear algebra, calculus, probability, and statistics, • Experience with scalable machine learning (MapReduce, streaming)., • Experience with time series and dynamical systems., • Ability to manage projects and work efficiently independently and collaboratively, • Ability to quickly formulate and document assumptions to advance projects, • Strong commitment to continuous learning and professional growth, solution-oriented, and committed to making a positive impact, • Ability to communicate complex technical concepts to both technical and non-technical stakeholders, • Prepared to share project portfolio (GitHub, papers, etc.). Benefits: • "Remote first" culture - work anywhere in the US as long as you have a reliable internet connection, • Flexible PTO - no accrued hours and no limit on the number of vacation days exempt employees can take each year, • 12 annual holidays, • 10 days sick leave, • Up to 4 weeks bereavement leave, • 2 volunteer days off, • 2 professional development days off, • 12 weeks paid parental leave for all parents, • 75-95% employer cost coverage for medical, dental, and vision benefits for employees and dependents Eliminating carbon footprints, eliminating carbon copies. Here at Arcadia, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Arcadia is committed to equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation by emailing careers@arcadia.com prior to completing your application.. Target Base Range for this role will be $146,250 to $262,000. There will also be a competitive benefits and equity component to the package. The exact compensation at which this job is filled will be determined by the skills, experience, and location of the qualified candidate. Please note that we are unable to offer visa sponsorship for this position at this time. Automated Screening Technology: To ensure a fair and timely review of the high volume of applications we receive, Arcadia may utilize AI-assisted technologies to help our team identify candidates who best meet the qualification criteria for this role (based on skills, experience, and education). Please Note: Automated tools provide recommendations based on your resume content and application questions. While we may use automated screening for basic eligibility (e.g., visa status, location), employment decisions regarding qualifications are not made solely by AI without human oversight. Data Privacy & California Residents: You voluntarily provide personal information (such as your resume, contact details, and assessment responses) when submitting an application. We may use this to evaluate your candidacy and derive inferences from this data to match your profile with open roles. For California Residents: This collection is consistent with the CCPA. You have the right to request access to or deletion of your data by contacting careers@arcadia.com *Visa Sponsorship • Select R&D & Data roles: We are proud to offer visa sponsorship opportunities for qualified candidates interested in joining our team, • Other roles: Please note that we are unable to offer visa sponsorship for this position at this time Thank you

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ _ ✨ 📍London | UK remote | 💰 £95,000 to £115,000 + Stock Options +| -_ About us: We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque. We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves. We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo. About our Core Banking Team: Core Banking is responsible for the current account used by 10 million customers. That includes creating compelling value propositions for different audiences (including Joint, Under 16s and 16 to 17 accounts), designing the overall app structure, the day-to-day money management experience (including features like Trends, Salary Sorter, Bills Pots, and more) and other value propositions like Travel. The collective is also responsible for Subscriptions, which are paid upgrades that unlocks extra benefits and functionality that help customers make financial progress. We’re now gearing up for our next phase of growth, from 10 million to 20 million customers. What you’ll be working on: • Lead the product strategy in App Evolution within Core Banking - continuing to evolve the app experience for customers to make it magically simple to manage money day-to-day with Monzo, and help customers discover differentiated value, • Develop and execute best practices for experimentation enabling our team to make data informed decisions, • Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices., • Work closely with leaders in product, engineering, design and research to build and iterate on product ideas You should apply if: • You enjoy working with cross functional fast moving teams, • You are able to think strategically about the Core Banking product and how decisions using data can unlock more value for our customers, • You are excited about mentoring other data scientists and analytics engineers, • You are excited by experimentation and utilising new data techniques to solve challenging problems, • You want to understand the nuances of our data and are excited about laying the key foundational knowledge for our new products and features, • You are opinionated about how to think about measuring success and are willing to challenge the status quo The interview process: Our interview process involves: • Recruiter Call, • Initial Call, • Technical assessment, • Final Interviews, • Business Fit/Collaboration, • Case Study, • Technical Interview Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com One of our recruiters has written a blog on the process, for extra details, hints and tips please see_ What’s in it for you: 💰 £95,000 to £115,000 + Stock Options + Benefits ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚Learning budget of £1,000 a year for books, training courses and conferences ➕And much more, see our full list of benefits _ If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance. #LI-NB2 #LI-Remote Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our , 2023 and 2023 _ We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

JOB DESCRIPTION: We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Data Science Team within the Risk Data & AI Innovation Org. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with machine learning, model development with cutting edge AI/ML frameworks, performing analytics, statistical analysis and model monitoring. Experience with LLMs and other AI tools would be a big plus. Wed love to chat if you have: • 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelors/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience, • Experience using statistics and data science (machine learning & AI) to solve complex business problems, • Proficiency in SQL, Python, AWS, Excel including key data science libraries, • Proficiency in data visualization including Tableau, • Experience working with large datasets, • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau., • Comfortable with ambiguity and yet able to steer AI and machine learning projects toward clear business goals, testable hypotheses, and action-oriented outcomes, • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact., • Desirable to have experience or aptitude solving problems related to risk using data science and analytics, • Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases. Key Job Functions: • Design and develop machine learning and AI models detect/mitigate fraud, • Support stakeholders and cross-functional teams in effective usage of models, • Drive AI transformation for all risk management activities at BILL, • Work with product/engineering to implement, monitor and refine AI solutions and models Expected Outcomes: • Work closely with team members and stakeholders to consult, design, develop, and manage fraud models and AI solutions., • Utilize data analysis to design and implement fraud models, • Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud models and AI solutions that operate at scale and in real time for end customers., • Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders., • Development of dashboard and visualizations to track KPI of fraud models implemented Preferred Skills: • Machine Learning & Artificial Intelligence, • Data Science, • Model development, • Dashboard Creation, • Project Management, • Strong Communication Skills. Notes from Hiring Manager: • Strong SQL proficiency, • Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation, • Proficiency in AWS Quicksight and Tableau, • This is a hybrid position, so candidates must be based in the San Jose area. HM will entertain remote candidates if no viable local candidates can be sourced., • Strictly contract to cover multiple leaves over a 1 yr. period., • Potential to extend based on business need and performance., • Day shift: M-F Pacific time, • Multiple Zoom interviews (2-3) SQL assessment during 1st interview. MUST HAVE: • 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelors/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience, • Experience using statistics and data science (machine learning & AI) to solve complex business problems, • Proficiency in SQL, Python, AWS, Excel including key data science libraries, • Proficiency in data visualization including Tableau, • Experience working with large datasets, • Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases.

About Extend: Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits. Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco. About the Role: You will be part of Extend's Claim Experience Analytics team within our centralized Risk, Analytics and Data Science team, focused on balancing the user experience and operational efficiency through process and product enhancements for our end-to-end claim platform. If you’re excited about breaking down complexity and ambiguity into quantifiable impact and exploring emerging AI capabilities, you’ll thrive on our team. What You’ll Be Doing: • Identify high-impact opportunities to improve claim operations, servicing and fulfillment processes by analyzing trends, surfacing gaps, and delivering recommendations to enhance user experience while managing operational costs effectively., • Monitor usage trends and anomalies in claim process, measure impact of new product features, and evaluate and iterate AI driven solutions to optimize agent behaviors and ensure stability of agent interactions, • Cultivate a data-driven culture with your skill for storytelling with data, translate analyses into clear, compelling narratives and visualizations that enable informed decision-making across stakeholders., • Partner widely with Analytics, Operations, Product and Engineering to optimize claim intake, adjudication and fulfillment product features for excellent customer experience and lower claim cost., • Ensure data quality and usability through regular monitoring and data pipeline creation, while empowering the teams with tools and documentation to optimize claim and servicing products and policies. What We’re Looking For: • Strong written and verbal communication skills who excels at sharing data insights to audiences of all backgrounds, • Intellectually curious, willing to think creatively to solve complex business problems in fast-paced, high-growth environments, • 2+ years of experience in product analytics, • Practical experience with agentic AI systems in production is a plus, • Expertise with SQL, Python, and Github, • Familiarity with visualization tools (e.g., Tableau) and DBT, • Excellent stakeholder management skills, with a track record of working cross-functionally to make an impact, • Bachelor's degree from Maths, Statistics, or a relevant major Expected Pay Range: $111,000 - $129,000 per year salaried* • The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience. Life at Extend: • Working with a great team from diverse backgrounds in a collaborative and supportive environment., • Competitive salary based on experience, with full medical and dental & vision benefits., • Stock in an early-stage startup growing quickly., • Generous, flexible paid time off policy., • 401(k) with Financial Guidance from Morgan Stanley. _

Seeking an experienced and motivated bioanalytical scientist to join a collaborative research and development team. This role focuses on LC-MS–based bioanalysis, including development and transfer of analytical methods to support pharmacokinetic and ADME studies for complex therapeutic modalities. Candidates with strong experience in peptide bioanalysis, mass spectrometry, and drug metabolism are encouraged to apply. The ideal candidate will have experience developing, optimizing, and implementing LC-MS/MS bioanalytical methods to support in vitro and in vivo studies, as well as coordinating technical activities with external research partners. This is a hands-on laboratory role that also involves contributing scientific insight to support progression of discovery-stage programs toward development milestones. Key Responsibilities • Collaborate with cross-functional research teams to generate high-quality quantitative bioanalytical data supporting drug discovery and development activities., • Design, develop, and optimize LC-MS/MS sample preparation workflows and bioanalytical methods for quantification of peptides, biomolecules, and related compounds in biological matrices., • Support in vitro ADME, PK/PD, efficacy, and toxicology studies through quantitative bioanalysis and assay execution., • Operate, maintain, and troubleshoot LC-MS instrumentation and associated laboratory systems., • Evaluate and implement new analytical methodologies, instrumentation, and workflows to improve assay performance and throughput., • Serve as the bioanalytical lead or representative on project teams, communicating study results and scientific recommendations to internal and external stakeholders., • Maintain accurate experimental records and manage study documentation using electronic laboratory systems., • Prepare technical and regulatory-supporting reports for internal and external studies. Required Qualifications • Advanced degree in analytical chemistry, pharmaceutical sciences, bioanalysis, or a related discipline with relevant industry experience in mass spectrometry–based bioanalysis., • Strong background in LC-MS/MS method development and quantitative bioanalysis, particularly involving peptides or other complex analytes., • Experience with operation, calibration, maintenance, and troubleshooting of triple quadrupole LC-MS systems., • Familiarity with modern LC-MS software platforms and automated sample preparation systems., • Excellent communication, organization, and problem-solving skills, with the ability to work both independently and collaboratively in multidisciplinary environments. Preferred Qualifications • Experience with large molecules, conjugates, biologics, or other complex therapeutic modalities., • Prior experience in pharmaceutical or biotechnology research environments., • Understanding of ADME principles and their application to biologics or advanced therapeutics., • Exposure to high-resolution mass spectrometry platforms and advanced analytical techniques., • Experience working in regulated laboratory environments and/or with external research organizations.

Research & Development Manager Morton Grove, IL(hybrid) Summary The Research & Development Manager or Food Scientist we're looking for leads product innovation, process development and commercialization initiatives across the organization. This role serves as the bridge between product development, manufacturing operations, quality assurance, procurement, and commercial teams to ensure new and existing products meet quality, regulatory, operational, and financial objectives. The role is responsible for driving innovation, optimizing formulas and processes, and ensuring successful scale-up from benchtop development through full commercial production. Essential Job Duties and Responsibilities • Lead development of new products, product enhancements, and line extensions aligned with business strategy, • Conduct bench trials, pilot trials, and plant trials for new formulations and process improvements, • Optimize ingredient functionality, sensory profiles, nutritional targets, and product stability, • Evaluate emerging ingredients, technologies, and market trends to support innovation pipeline, • Maintain organized records of formulas, specifications, test results, and development documentation, • Partner with marketing and commercial teams on product concepts, claims substantiation, and competitive benchmarking, • Assist cross-functional commercialization projects from concept to launch, • Develop project timelines, milestones, and risk mitigation plans, • Coordinate internal resources and external suppliers to meet launch deadlines, • Support packaging transitions, formula changes, and process modifications, • Ensure compliance with U.S. Food and Drug Administration regulations, labeling requirements, and food safety standards, • Partner with QA and Regulatory teams on ingredient approvals, specifications, claims, and documentation, • Support customer audits, regulatory inspections, and third-party certifications as needed, • Maintain compliance with GMP, HACCP, SQF, and internal quality standards, • Collaborate with suppliers on ingredient performance, troubleshooting, and alternative sourcing, • Evaluate raw material changes for quality, functionality, and operational impact, • Support cost-saving initiatives through formula optimization and ingredient substitutions, • Manage and develop R&D or technical services staff, interns, or project specialists, • Foster a culture of innovation, accountability, and continuous improvement, • Provide technical training to operations, QA, and cross-functional teams, • Conduct behavior in compliance with Lifeway Employee Policy, • Perform additional duties as assigned Qualification and Education Requirements • Bachelor’s degree in food science, Dairy Science, Microbiology, Chemical Engineering, or related scientific discipline required; Master’s degree preferred, • 5+ years of progressive experience in food manufacturing, R&D, technical services, or process development, • Experience with cultured dairy, beverages, fermentation systems, or refrigerated foods strongly preferred, • Experience in scale-up, commercialization, and plant troubleshooting required, • Prior leadership or people management experience preferred, • Strong knowledge of food processing, ingredient functionality, and product development, • Understanding of fermentation systems, microbial stability, shelf-life studies, and sensory analysis, • Working knowledge of food labeling, regulatory compliance, and documentation systems, • Strong project management and cross-functional leadership skills, • Ability to analyze technical data and convert findings into practical business solutions., • Strong communication and presentation skills, • Proficiency in Microsoft Excel, Microsoft PowerPoint, ERP systems, and product lifecycle documentation tools, • Preferred Experience:, • Experience with cultured dairy products, probiotics, kefir, yogurt, cheese, or functional beverages, • Experience supporting multi-site manufacturing operations, • Familiarity with continuous improvement methodologies such as Lean Six Sigma, • Travel Requirements: Up to 10-15% travel to manufacturing facilities, suppliers, co-packers, or industry events as needed

Most fermentation teams bolt scientific depth onto an engineering org as a nice-to-have. This is the role where it's the primary asset, and the engineering team is already built around you. 𝗧𝗵𝗲 𝗖𝗼𝗺𝗽𝗮𝗻𝘆 Pave Talent is hiring on behalf of our client, a Chicago-based biotech that has already commercialized a proprietary microbial protein platform, with active applications in food ingredients and biomaterials and an emerging pharmaceutical program in development. Roughly 70 people, privately held, single pilot facility in Chicago. The commercial line is live. The company made a deliberate shift to a B2B ingredient model and right-sized the team around that focus. What that means for you: a lean, focused organization where decisions move fast, your work shows up in outcomes quickly, and the people around you chose to be there. Every employee is a shareholder through the company ESOP from day one. This is not a standard options grant. There is no purchase required and no seniority gate. As the science improves, the commercial platform expands, and the company grows in value, that equity grows with it. The optimization work this role drives is directly tied to that outcome. 𝗪𝗵𝘆 𝗧𝗵𝗶𝘀 𝗥𝗼𝗹𝗲 𝗘𝘅𝗶𝘀𝘁𝘀 The team is engineer-heavy. Scale-up and process engineering are mature and in-house. What's missing is the scientist who can go deeper on the biology: someone who understands microbial physiology at a fundamental level, who designs and leads their own experiments end to end, and who can reason about what the organism is actually doing when conditions change. The hiring manager has said it directly: the missing piece is scientific depth. 𝗬𝗼𝘂𝗿 𝗙𝗶𝗿𝘀𝘁 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 Lead a media optimization study to map microbial kinetics and secondary metabolite formation, then link what you find to final product quality against the team's internal control. You own it end to end: hypothesis, DOE design, execution, interpretation, and the recommendation. 𝗪𝗵𝗮𝘁 𝘁𝗵𝗲 𝗗𝗮𝘆-𝘁𝗼-𝗗𝗮𝘆 𝗟𝗼𝗼𝗸𝘀 𝗟𝗶𝗸𝗲 • 50/50 split between bench/pilot work and experiment design, data analysis, and cross-functional collaboration, • You'll leverage RAs, pilot operators, and other scientists, but you're the scientific lead on your projects, • Bioreactors from benchtop through 500L. Non-GMP, BSL-1, • Individual contributor by design. No direct reports now or planned, • On-site at the Chicago pilot plant If you've already led a team and realized what you actually want is to be back at the bench driving the science, this is that seat. No title penalty, no comp penalty, just ownership of the work. 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂'𝗹𝗹 𝗗𝗼 • Own end-to-end fermentation R&D projects: media optimization, culture condition studies, and strain behavior investigation, • Translate findings into process decisions the engineering team can act on, • Serve as the scientific SME across the organization, bridging biology and product/cost/quality targets, • Apply statistical DOE and fermentation data analysis to find real signal in noisy datasets, • Operate, troubleshoot, and diagnose bioreactors at the biology level, • Partner cross-functionally with R&D, engineering, and downstream processing 𝗢𝗻 𝗣𝘂𝗯𝗹𝗶𝘀𝗵𝗶𝗻𝗴 𝗮𝗻𝗱 𝗣𝗮𝘁𝗲𝗻𝘁𝘀 The company operates under a standard PIIA. Employees can be named on patents and publications with company approval. If building that part of your CV matters, the path is open here. 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗱 𝗤𝘂𝗮𝗹𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 • PhD in Microbiology, Mycology, Fungal Biology, Bioprocess, or a closely related discipline (MS with 10+ years of directly relevant fermentation R&D experience also considered), • Significant hands-on industry experience in submerged liquid fermentation (filamentous fungi, yeast, or bacteria). The key is demonstrated R&D-to-process-development bridge experience., • Demonstrated media optimization experience with a real point of view on how strain behavior moves with media composition, • Track record of independently designing, leading, and concluding your own experiments, • Bioreactor operation at bench and pilot scale, • Proficiency in statistical DOE and fermentation data analysis, • Comfort in a startup environment, • Willing and able to work on-site in Chicago (relocation supported) 𝗣𝗿𝗲𝗳𝗲𝗿𝗿𝗲𝗱 𝗤𝘂𝗮𝗹𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 • Filamentous fungi experience (Fusarium, Aspergillus, Trichoderma, Neurospora, Penicillium, Rhizopus), • Background in alternative proteins, food biotech, or biomaterials, • Continuous fermentation experience, • Techno-economic assessment or cost optimization exposure, • Previously led teams and made a deliberate choice to return to the bench 𝗖𝗼𝗺𝗽𝗲𝗻𝘀𝗮𝘁𝗶𝗼𝗻 • Base: $155,000 to $175,000, • Bonus: 10 to 15% annual target, • Equity: ESOP, all employees eligible from day one, no purchase required, • Medical/Dental/Vision: Multiple plans, several 100% employer-paid, • Relocation: Sign-on bonus available, • Title: Principal Scientist, Individual Contributor Confidential search. Your application is fully private. Apply via LinkedIn and we'll reach out to schedule a conversation.

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. Location: US remote-friendly or any office location - SF, LA, CHI, NY The Data Science Team at Reddit is growing and we are looking for experienced Data Scientists to partner with our cross-functional partners (Product, Engineering, Designer, Marketing, Business Development etc.) to help us build and improve the systems that continuously drive our user and revenue growth. As a Senior Data Scientist on the team, you will have the opportunity to play a significant role in driving the success of key product areas at Reddit (Consumer, Ads, Safety etc.). You will lead and contribute to defining the product strategy through measurement and metrics design, experimentation and causal analyses, supporting product decisions via deep data analyses, and research. This person will be an industry technical leader with a solid technical background, strong business acumen, and excellent cross-functional stakeholders management skills. You will go through a general Data Scientists hiring process and get matched to the product area that best fits your background and interest. Responsibilities: • Develop action-oriented insights to drive the product strategy through observational causal analysis and experiment meta-analysis, and clearly communicate results to stakeholders up to the C-suite to take action based on the recommendations, • Uplevel experimentation practices on the team through guiding design, execution, and deep dive analyses to maximize learnings from A/B tests, • Create new ETLs, tables, dashboards, and other self-serve tools to enable other data scientists and cross-functional partners to find and interact with data seamlessly, • Design, evaluate, and/or measure team-level KPIs to enable quarterly goal setting and demonstrate team impact, • Regularly engage with stakeholders to gather feedback and share progress on work at all stages to ensure alignment between DS and other teams on business goals and outcomes, • Mentor more junior data scientists and business partners in data science best practices and methods to increase data literacy and improve decision making Required Qualifications: • Relevant experiences in quantitative or data science roles, preferably for a consumer-facing service/app, • Ph.D., M.S. or Bachelors degree in Statistics, Machine Learning, Economics, Computer Science, or other quantitative fields (If M.S. or Bachelors degree, a minimum of 5+ years of industry data science experience required; If PhD degree, a minimum of 3+ years of industry data science experience required), • Expertise in querying relational databases (SQL) and programming languages (e.g., R / Python), • Deep understanding of online experimentation (A/B testing), causal inference, and statistical techniques, • Comfortable in innovative and fast-paced environments, and a bias toward action, • Strong technical communication / data storytelling skills and demonstrated ability to discuss complex topics with technical and non-technical audiences alike, • Able to tackle ambiguous and undefined problems by creating an action plan, getting feedback, and iterating Benefits: • Comprehensive Health benefits, • 401k Matching, • Workspace benefits for your home office, • Personal & Professional development funds, • Family Planning Support, • Flexible Vacation (please use them!) & Reddit Global Days Off, • 4+ months paid Parental Leave, • Paid Volunteer time off #LI-Remote #LI-NH1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is: $190,800 - $267,100 USD In select roles and locations, the interviews will be recorded, and transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Glocomms is seeking a talented Data Scientist specializing in Computer Vision to join our dynamic team in San Francisco County, CA.In this pivotal role, you will leverage advanced algorithms and machine learning techniques to transform visual data into actionable insights, driving innovation and enh

Renew Home is on a mission to change how we power the world by making it easier for customers to save energy and money at home as part of the largest residential virtual power plant in North America.We partner with industry-leading brands to better manage residential energy for users by prioritizing

Entefy’s Senior Data Scientist is a highly visible position both internally and externally.Join the intelligence revolution, where we can push the state-of-the-art boundaries of data science.This is where deep experience and multi-dimensional insights intersect with an amazing opportunity to shape

Manage data scientist and data specialist team.Identify the efficient source for quality data collection,.Lead data collection and data mining processes.Ensure and guarantee data integrity.Analyze data and interpret data problems.Plan project, prioritize and streamline all planned data projects.Deve

Alpha is a product studio focused on the intersection of AI and consumer social – backed by a16z and many of the top investors in the world.Our goal is to create social products that we use, that our friends use, and that have the potential to reach billions of people.Clubhouse was our first app,

Prominence Advisors is actively seeking a Senior Data Scientist to join our team. Who We Are Prominence is a healthcare and life sciences technology and consulting firm dedicated to helping leading organizations do more with their data. With deep expertise across the full ecosystem — spanning providers, payers, and life sciences — we turn complex data into actionable insight. We deliver a full spectrum of services, including advisory, analytics, optimization, and IT staffing. Our work helps organizations operate more efficiently, improve patient outcomes, and deliver measurable financial impact through smarter use of data. Recognized as a 2x Best in KLAS organization, we partner with more than 120 health systems and 40 life sciences organizations, including 7 of the top 10 U.S. News & World Report-ranked institutions. Through our life sciences brands, Tegra Analytics and WLH Consulting & Learning Solutions, we extend these capabilities to pharmaceutical and biotech organizations — combining data, consulting, and learning to advance commercial excellence. By connecting strategy, data, and execution, we help organizations translate data into clarity, strategy into action, and vision into measurable results. At our core, we are a people-first, values-driven organization that believes strong teams and trusted partnerships are what ultimately make healthcare and life sciences smarter. Job Summary Prominence is looking for a Senior Data Scientist with deep experience in applied machine learning, statistical modeling, and generative AI to help deliver advanced analytics solutions alongside some of the nation's leading healthcare providers. This role will design, build, and deploy models and AI-powered applications that help healthcare organizations improve patient outcomes, optimize operations, and accelerate research. Helping our customers harness the power of generative AI by building LLM-powered applications that unlock new possibilities for clinical and operational workflows. • Design, build, validate, and deploy machine learning models across the full data science lifecycle, including exploratory analysis, feature engineering, model development, validation, deployment, and monitoring., • Develop advanced analytics solutions for clinical prediction, population health, operational optimization, and research enablement., • Build AI-powered applications leveraging LLM APIs, prompt engineering, and RAG pipelines to support clinical and operational workflows., • Ability to work with diverse healthcare data sources including EHRs, claims, and clinical registries., • Translate complex analytical findings into meaningful, actionable insights for clinical and operational stakeholders., • Manage documentation of best practices and scalable frameworks that can be applied across client engagements., • Mentor and guide client counterparts to build the skills needed to sustain and expand on project deliverables. Minimum Qualifications • 3–5+ years of professional experience in data science, machine learning, or a closely related quantitative role., • Strong proficiency in Python for data science (pandas, NumPy, scikit-learn) and SQL for data extraction and manipulation., • Hands-on experience building, validating, and deploying machine learning models (classification, regression, clustering, time-series forecasting)., • Experience with MLOps best practices (model versioning, CI/CD for ML, experiment tracking with MLflow or similar, continuous monitoring)., • Practical experience building AI-powered solutions using LLM APIs, prompt engineering, and RAG pipelines., • Experience with cloud-based data and ML platforms, including at least one of the following: AWS (SageMaker, Redshift, S3), Azure (Azure ML, Synapse, Data Factory), GCP (Vertex AI, BigQuery), Databricks, or Snowflake., • Strong communication skills with the ability to present technical findings to non-technical audiences. Desired Qualifications • Healthcare industry knowledge and experience including EHR data, claims, HL7/FHIR, clinical terminologies., • Experience with population health analytics, risk stratification, or social determinants of health., • Understanding of research enablement workflows including cohort identification, clinical trial matching, and outcomes research., • Experience with vector databases, embeddings, fine-tuning, or LLM evaluation frameworks., • Familiarity with data visualization and BI tools (Tableau, Power BI, or Looker)., • Revenue cycle, staffing optimization, or other operational analytics experience., • Advanced degree (Master's or PhD) in a quantitative field such as computer science, statistics, biostatistics, or a related discipline Skills, Knowledge, and Abilities • Professional: Demonstrates a high degree of professionalism by treating others with respect, keeping commitments, building trust within the team, working with integrity, and upholding organizational values ("Do Great Work and Move Mountains”)., • Organized: Capable of managing multi-faceted work streams efficiently, ensuring smooth project flow., • Self-Motivated: Adept at managing personal schedules, meeting deadlines, and monitoring work quality independently., • Highly Adaptable: Quickly acclimates to new project assignments and diverse work environments., • Creative: Approaches problems with a solution-oriented mindset, working collaboratively to find novel solutions., • Communication: Effectively conveys clear and concise messages that resonate with the intended audience, both in written and verbal forms., • Proactive: Anticipates potential issues, addresses concerns before they escalate, and effectively raises them when necessary., • Team-Oriented: Passionate about mentoring and guiding others, thrives in a team-based environment. Physical and Medical Standards, Working Conditions and Environment • Must be able to sit or stand at a computer and work remotely and independently from personal home office, • Willingness to travel for onsite meetings and business reviews as needed Hours Worked This is a Full Time, 40 hour per week position. This role is part of our active pipeline for upcoming client engagements and is contingent on project availability, with timing aligned to client demand. Prominence is dedicated to hiring the best and brightest minds in healthcare and maintaining a culture that rewards our employees for following their passion. We are excited to offer the following benefits for this position: • Competitive Salaried and Hybrid Compensation Plans, • Health Care Plan (Medical, HSAs, Dental & Vision), • Retirement Plan (401k), • Life Insurance (Basic, Voluntary & AD&D), • Dependent & Health Savings Accounts, • Short Term & Long Term Disability, • Paid Time Off (Vacation/Sick & Public Holidays), • Training & Development Fund, • Work From Home, • Charitable Giving to Causes You Believe In Must be legally authorized to work in the United States without sponsorship. The world’s most talented professionals come from every background. All applicants will be considered for employment without attention to age, race, color, religion, gender identity and/or expression, sexual orientation, national origin, marital status, veteran or disability status, or any other characteristic protected by law. In addition, Prominence will provide reasonable accommodations for qualified individuals with disabilities. If you are smart and good at what you do, come as you are. All qualified candidates are encouraged to apply. Our partnerships are extremely important to us. This online application is not intended for anyone who is currently under a non-compete agreement or has an arrangement that precludes employment at Prominence. We appreciate your help in respecting our partners. Interested in learning more? Apply below to connect with our Talent team about immediate openings and future consulting projects.

This vacancy is part of a coordinated recruitment campaign for the Data Science Unit across Technopolis Group's offices. To check the general requirements or explore other locations, return to the _. Job title: Experienced Policy Data Scientist Consultant Location: Brussels Position: Full time / Permanent Technopolis Group is looking to grow its data science team. We are now looking to recruit a motivated and experienced Policy Data Scientist to join our Brussels team as a Consultant. About Technopolis Founded in 1989, Technopolis Group is an independent research and consultancy company, European leader in providing strategic policy advice to public sector institutions at the local, regional, national, and international levels (such as the European institutions) – as well as to third sector organisations, public-private partnerships and research organisations.Our Group is active in many areas such as R&I, Health, Higher Education, Green economy, Industry and entrepreneurship, Regional and urban development, Digital economy and Open science.We have grown steadily over the past 30 years and have and a track record of over 4,000 projects. Technopolis Group has offices in ten European cities and offices in Colombia (Bogotà) and Ivory Coast (Abidjan). Our team of consultants brings an educational mix in a variety of policy, social, environmental science disciplines, and linguistic richness, originating from 40+countries and covering 30+ languages.For more information: www.technopolis-group.com The team The selected person will be part of the Technopolis Group Data Science Unit (DSU), whose members work in different country offices. The growing team of DSU data scientists have diversified academic backgrounds but a shared passion for developing data science applications to improve policymaking. The unit works in policy consulting jobs for our clients but also conducts R&D to develop new, untested and exciting applications, potentially in collaboration with internal and external partners.The DSU is active in all types of data science applications in policymaking. See https://www.technopolis-group.com/solutions/data-analytics/. Examples include record linkage, building classifiers, semantic and sentiment analysis, web scraping and dynamic visualisations. Additionally, the team is looking forward to expanding its portfolio of techniques using real-time indicators, causal AI and generative AI. Experience in these last techniques, or a general understanding of their functioning combined with a demonstrable willingness to master them, is highly desirable.Main tasks and responsibilities The successful candidate will : • Shape policy recommendations using advanced data science methods and translate results into actionable messages for decision-makers, • Apply suitable data science techniques to deliver evidence-based consulting, • Develop and promote a proportionate and ethical use of AI and, • data science techniques, • Extract, clean, integrate and validate data from various sources to ensure high-quality datasets, • Develop dashboards and data visualisations to communicate insights effectively, • Prepare reports and presentations tailored to different target audiences, • Explain the strengths, limitations and opportunities of data science methods and internal databases to clients and non-technical colleaguesExperience and skills Applicants suitable for a Consultant position in data science should have: • A minimum of 3-5 years of experience in a consulting or research environment in data science applied to policy analysis, • A Master’s degree (or equivalent qualification) and demonstrate strong data science skills acquired through formal education (degree in data science, statistics or related), specialised training, or relevant professional experience. At least one of their academic degrees should be in a social science or a related field (such as economics, statistics, innovation studies, sociology, geography, or political science…) or include a strong foundation in the social sciences, • A PhD is a plus, • Knowledge of Python is required, knowledge of R and SQL is an advantage, • Experience of techniques such as NLP, machine learning, and LLMs is particularly desirable, • Experience with tools such as Git and Github, Docker and cloud platforms is highly desirable, • Beyond data science, applicants must have interest and experience in applied, policy-oriented work in at least one of Technopolis’ areas of specialisation. Our policy areas include science, technology and innovation policy, digital economy, climate and sustainability, entrepreneurship, health and life sciences, education and skills, international development and regional development., • Ability to deliver tasks under tight deadlines, • Strong communication and analytical skills, • Excellent command of spoken and written English is essential and fluency in other European languages is considered an assetWhat we offer, • A full time, permanent position, • An attractive salary package with benefits including hospitalisation insurance and a pension scheme, • A positive working atmosphere within a team of like-minded professionals in Brussels, while also being part of a larger international Group with multiple opportunities for international cooperation, • Good opportunities for career progression, from both a content perspective (thought leaders, methodological specialists) and in the areas of business development and company leadership We are committed to providing our employees with a supportive and rewarding work environment, and we offer a range of benefits to help them achieve their career goals and thrive in their roles.Career development: We believe in investing in our employees' professional growth and offer a range of opportunities for career development, including training programs, mentoring and coaching, and the chance to work on a variety of challenging projects across different sectors and regions. Our employees have access to a network of experts across the Technopolis Group, allowing them to learn from and collaborate with colleagues in other countries and areas of expertise.Work environment: We pride ourselves on our dynamic and supportive work environment, which is characterised by a culture of collaboration, innovation, and excellence. Our employees work in modern and comfortable offices, and we promote a healthy work-life balance with flexible working hours and the option of working from home. We also offer social events and activities, such as team-building exercises and cultural outings, to foster a sense of community and help our employees build strong relationships with their colleagues.We are an equal opportunities employer and welcome applications from all suitably qualified persons with a residency and work permit in Belgium. How to apply Applications can be done directly on Technopolis website (reference: DS0525) and include a cover letter and an Europass-style CV. Application deadline: 13 June 2025. Early applications are encouraged. Applications will be assessed on a rolling basis until the position is filled. Only short-listed candidates will be contacted. Applicants should have the EU citizenship or a valid work permit to apply.

VHA supports and provides medical care for VA’s eligible beneficiaries through the VA health program, which includes VA Medical Centers (VAMCs) and contracted health care networks. The Office of Clinical Informatics within the Office of Health Informatics (OHI), Digital Health Office (DHO) advances the enterprise standard of care and patient experience using improved data, tools, and informatics processes organized around continuously delivering value to its customers. This is achieved through Lean-Agile delivery of clinical practice solutions that support best practice standards for clinical care. OHI is further responsible for ensuring the success of the modernized VA EHR, Oracle Health Millennium/Cerner through continuous exploration, integration, deployment and release on demand of Integrated Health Technology (IHT) solutions. These efforts aim to increase Veterans' access to care and support their active participation in their healthcare. Gritter Francona is looking for a Lead Data Scientist to help support a potential project to assist this objective. • Serves as the technical lead for advanced analytics, predictive modeling, and machine learning initiatives supporting clinical decision-making and operational optimization., • Designs and validate algorithms for interoperability workflows, clinical informatics systems, and Agile integration reporting., • Ensures compliance with VA data governance, security, and privacy standards., • MUST HAVE demonstrated expertise in Agile environments (e.g., supporting PI planning, backlog analytics, velocity metrics); Interoperability standards (e.g., HL7, FHIR) and clinical terminology (SNOMED, LOINC); Programming languages (e.g., Python, R) and frameworks (e.g., TensorFlow, PyTorch); Data visualization tools (e.g., Power BI, Tableau) and ETL processes;, • Proven experience integrating clinical informatics systems (VA VistA/CPRS, Cerner Millennium) and validating data migration fidelity, • Must be eligible to obtain a government clearance, • Master's degree in Data Science, Computer Science, Health Informatics, or Statistics, • 10+ years in data science or advanced analytics roles, • 5+ years applying machine learning and predictive modeling in healthcare or federal health IT environments, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Short Term & Long Term Disability, • Training & Development

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 116 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. Team Description: This role is part of the Ads Measurement, Signals, and Privacy organization at Reddit. Ads identity empowers Reddit’s ads delivery, targeting, and measurement products to better measure and increase ROAS by linking actions on and off Reddit to the person or people who took them while honoring their privacy preferences. This team collaborates regularly with stakeholders across all of Reddit’s product teams to set a long-term vision and maximize the value of the linkages we create. We are solving complex problems in an increasingly challenging environment of meeting stricter consumer privacy expectations. Role description: You will apply your strong critical thinking and analytical reasoning skills to go deep into the details of identity matching with software and machine learning engineers. You'll make decisions about what work to prioritize based on opportunity sizing and a clear vision for the long-term. You will directly own execution of multi-team projects and be accountable for annual goals reported directly to our VPs. This role provides an opportunity to massively improve a critical system for Reddit’s business in a relatively short time frame with a clear path to increased ownership and responsibility for broader end-to-end strategic ownership. • Deliver improvements to our identity system that quickly and significantly improve our ability to link events to people, • Define and prioritize the product roadmap and collaborate with other ads product managers across the organization to set long-term strategy, • Develop an expert-level understanding of the ads identity ecosystem through self-learning, data exploration, and market research, • Create metrics and goals, in collaboration with data science, to incentivize models and the entire team to deliver maximum value, • Partner closely with Data Science, Engineering, Legal, and Privacy teams that deliver sustainable system improvements, • Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, Statistics, Economics, Engineering, Applied Sciences, Mathematics, Physics, or a related field, • 2+ years as a product manager of a machine learning product or 5+ years as data scientist working with product teams, • Experience delivering / partnering with product and cross functional teams to deliver complex and scaled projects, • Strong analytical skills with experience in applied statistical analysis, • A foundational understanding of the ads identity ecosystem, • Experience directly driving execution across all aspects of product development cycle, • Proven ability to collaborate cross functionally and without direct authority, • Experience writing SQL queries and exploring data independently, • PhD or Masters in Probability, Statistics, or Behavioral Economics, • 2+ years working on an ads product measuring or serving behavioral advertising, • 2+ years setting goals for a product team, • Experience building or sourcing ground truth data sets, • Collaborate & Partner: Work closely with product management, partner management, and other engineering teams to ensure the Ads API meets the needs of both internal stakeholders and external developers. Who You Are: You are a high-agency leader who doesn't wait for direction; you see what needs to be done and take the initiative to make it happen. You have a strong sense of ownership and are driven to find solutions, work through ambiguity and enjoy complex challenges. Required Qualifications: • 5+ years of industry experience as a Software Engineer., • 2+ years managing (including coaching, mentoring, developing) engineering teams., • Demonstrated ability to drive projects from inception to completion, acting as the primary agent of change., • Proven experience designing, building, and operating scalable, public-facing APIs (e.g., REST, gRPC)., • Experience with at least two general programming languages such as Python, Go, Scala, Java, or C++., • Excellent communication skills, both written and verbal, and the ability to work effectively with product managers, data scientists, and other xfn stakeholders. Preferred Qualifications: • Experience managing Infrastructure or Platform teams., • Experience in the advertising technology space., • Experience with API gateways, authentication/authorization protocols (e.g., OAuth), and rate limiting. Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k with Employer Match, • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Paid Volunteer Time Off, • Generous Paid Parental Leave #L1-AS1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is: $190,800 - $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

Medical Director (Must Have - Medical Monitoring - Oncology/Protocol Exp) Syneos Health is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress. Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver - for one another, our customers, and, most importantly, for those in need. Discover what your 25,000 future colleagues already know: Why Syneos Health • We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program., • We are committed to building an inclusive culture - where you can authentically be yourself. Central to this is our purpose - Driven to Deliver - which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone's life., • We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress. Job Responsibilities • Provides medical oversight of assigned clinical studies in the duty as a medical monitor. Often serves as primary medical contact for customers for assigned clinical studies., • Provides medical input and oversight in support of the Drug Safety and Pharmacovigilance department., • Responsible for protocol design and development, upon request. Provides input into protocol amendments., • Develops and delivers project-specific and therapeutic training to project team members and clinical site staff; provides training to customer staff as needed., • Provides medical and therapeutic input to Study Start Up, Feasibility, and Subject Identification efforts. This activity includes, but is not limited to, review of Informed Consent Templates and Subject-Facing Materials, and input into site feasibility evaluations., • Provides medical input into data collection tools, monitoring plans, and review and analysis plans., • Provides oversight to assigned Medical Scientist staff and Medical Director colleagues to review clinical data. Presents identified trends and issues, and mitigation strategies, to customers and project team members to minimize risks to subject safety or integrity of study data., • Provides after-hours medical coverage for clinical studies., • Adheres to all enterprise policies, work instructions, standard operating procedures, and project plans. Adheres to customer policies and standard operating procedures, as required in project plans., • Maintains in-depth knowledge of FDA and worldwide drug development regulations and national and ICH Good Clinical Practice (GCP) guidelines., • May support responses to Requests for Proposals (RFPs) or Bid Defense Meetings (BDMs), upon request., • May provide input to clinical development or regulatory teams within the Company, upon request., • May represent the Company at scientific meetings, upon request. QUALIFICATION REQUIREMENTS Doctorate degree in medicine and clinical experience in the practice of medicine in the specific therapeutic area. Clinical research experience required. Candidate must have in depth knowledge of FDA and worldwide drug development regulations. A strong understanding of the use of medical terminology and of drug names in multiple nations and environments is required. Experience working in matrix teams is preferred. Proficiency in Microsoft Office Suite (Word, Excel, and PowerPoint), email, and voicemail. Effective organizational and interpersonal skills, communication and language skills, and group presentation skills. Above average attention to detail, accuracy, organizational, interpersonal, and team-oriented skills. Ability to handle multiple tasks to meet deadlines in a dynamic environment is essential. Ability to be customer-focused and have a disciplined approach to work is critical. Fluency in written and spoken English is essential. Up to 25% travel may be required. At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. Salary Range: The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role. Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. _ Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Clinical Scientist - Cardiovascular Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives. Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE Why Syneos Health • We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program., • We are committed to our Total Self culture - where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people., • We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we're able to create a place where everyone feels like they belong. Job Responsibilities • Works with Medical Director to develop medical plans (Medical Management Plan, Medical Data Review Plan, and Eligibility Review Plan). Engages with outside experts/consultants/advisors to coordinate the acquisition of necessary medical/scientific input to prepare the respective medical plans., • Performs regular and ad-hoc medical review of data listings and data visualization as needed; analyzes the data to identify risks and data patterns/trends and supports documentation of medical reviews., • Authors medical data queries and reviews query responses, approves query closure in association with Medical Director., • May assist Medical Director in patient profiles review, scientific review of other study level data, protocol deviation review, creation of Medical Review Summary report as needed., • Partners with Medical Directors for medical data review meetings and safety review meetings including slide preparation as needed., • Manages project scope of work, objectives, and quality of deliverables to ensure the project specific milestones and timelines are met. Serves as primary interface between internal team, customers, and vendors in the areas of medical data review and eligibility review., • Collaborates with study team members including Clinical Operations, Data Management, Drug Safety and Pharmacovigilance, and Project Management (set-up and/or lead meetings as appropriate) to identify risks related to data integrity and subject safety. Escalates ongoing and newly developed study concerns such as at-risk project deliverables and out of-scope tasks to the project leads in a timely manner., • Attends at Trusted Process meetings and may participate in internal and external audits., • Acquires basic understanding and knowledge of ongoing protocol designs and disease related terminology and pathology., • Adheres to all data privacy guidelines, International Committee on Harmonization (ICH), and Good Clinical Practices (GCPs), all enterprise policies, standard operating procedures, work instructions, and project plans. Adheres to customer policies and standard operating procedures, as required in project plans. We are always excited to connect with great talent. This posting is intended for a [possible] upcoming opportunity rather than a live role. By expressing your interest, you'll be added to our talent pipeline and considered should this role become available. At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. Salary Range: The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role. Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. _ Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

About Fusemachines Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 450 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world. About the role A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. Responsibilities: • Lead a team of data scientists to develop innovative solutions to complex business problems., • Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions., • Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue., • Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems., • Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner., • Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems., • Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work., • Responsible for developing, implementing, and managing the end-to-end machine learning pipelines. This will involve building, deploying, and maintaining machine learning models, as well as ensuring data quality and system stability. Requirements of the role: • Applicants should have a Masters, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field., • 6+ years experience in Data Scientist or Machine learning., • Strong programming skills in languages such as Python, • Hands-on experience with ML frameworks, such as PyTorch, or Tensorflow, • Experience with cloud compute environments such as AWS, GCP, Azure, • Experience leading data science teams., • Ability to work independently and manage multiple projects simultaneously., • Strong problem-solving skills and attention to detail., • Excellent communication skills both written and verbal., • Experience in industries such as finance, healthcare, e-commerce, retail, or marketing is a plus.Nice to have:, • R, C++, and SQL. Gen AI Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation., • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT).Please read carefully the restrictions before applying.

We are seeking a Data Scientist to join their team. Our client, a trusted government contractor, is searching for a dedicated Data Scientist to support a high-impact U.S. Government project. This full-time role will provide technical expertise essential for maintaining mission-critical software and systems, contributing directly to the client's key objectives. Must Have's: • An active or reinstatable TS/SCI with Polygraph security clearance., • U.S. citizenship., • Strong software development skills., • Ability to work independently and collaboratively within a team., • Strong communication skills., • Experience in adversary defeat, mission management, metrics, and data visualization., • Proficiency in data compilation from multiple sources using computer scripting, statistical analysis, and data modeling., • Knowledge of large networks, telecom systems, and expertise in applying data science to interpret complex data sets. Location: Annapolis Junction, MD Salary: $50,000 to $120,000 Benefits: • Comprehensive CareFirst Medical, Dental, and Vision Coverage for employees and dependents., • Up to 25 days of Paid Time Off (PTO), with 40 hours carryover., • 11 Federal Holidays., • Flexible work-from-home options., • 401K with company contribution, fully vested from day one., • Opportunities for discretionary, certification, and sign-on bonuses., • Employee referral bonus program., • Annual professional development funding., • Fully covered life and disability insurance, with voluntary additional life insurance options., • Employee Assistance and Travel Protection Programs., • Financial planning assistance, bereavement, and jury duty leave., • Monthly team and family events, technology budget, Global Entry, and an annual swag budget. Mission Box Technologies is an Equal Opportunity Employer. We value the benefits of diversity in our workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity and expression, national origin, disability, protected Veteran status, or any other attribute or protected characteristic by law. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for potential access to classified information. Accordingly, US Citizenship is required. Our strategic partner is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract of employment and are subject to change at the discretion of our strategic partner.

At NerdWallet, we’re on a mission to bring clarity to all of life’s financial decisions and every great mission needs a team of exceptional Nerds. We’ve built an inclusive, flexible, and candid culture where you’re empowered to grow, take smart risks, and be unapologetically yourself (cape optional). Whether remote or in-office, we support how you thrive best. We invest in your well-being, development, and ability to make an impact because when one Nerd levels up, we all do. Staff Data Scientist leads machine learning and decisioning systems powering personalization, lifetime value (LTV) prediction, and real-time commercial optimization across our marketplaces. This role is responsible for designing and scaling causal measurement and personalization systems that determine how we serve users while balancing customer value, partner economics, and long-term trust. As a senior individual contributor, you will drive high-impact modeling initiatives and shape the technical direction of data science across the organization. You are a technical expert and strategic partner who operates with significant autonomy and influence. As a Staff Data Scientist, you set the standard for scientific rigor, mentor senior ICs, and guide cross-functional teams without formal authority. You partner closely with Product, Engineering, Marketing, and Finance to align data science investments with business strategy, while shaping long-term vision for AI-driven personalization and marketplace optimization. This role reports to the VP, Data & Analytics. Lead the design and implementation of causal inference frameworks (e.g., uplift modeling, DML, IVs, DiD, synthetic control) to measure true incremental impact across personalization, marketing, and lifecycle interventions Establish and standardize methodologies for incrementality, experimentation, and measurement across channels and product surfaces Build and scale LTV models (user-level and cohort-based), including churn-adjusted and horizon-specific approaches, for real-time decisioning Develop and deploy personalization models that influence ranking, offer selection, content sequencing, and monetization strategies at the moment of user intent Ship production-grade machine learning models that directly drive revenue outcomes, including marketplace optimization, partner routing, and budget allocation Translate predictive outputs (e.g., conversion propensity, incremental CPA, expected LTV) into decision-ready signals for real-time systems Partner with Data Engineering and Platform teams to define data instrumentation, feature stores (batch and streaming), and model monitoring frameworks (drift, bias, stability) Influence architectural decisions across modern data and ML platforms (e.g., Snowflake, Databricks, Spark, real-time inference systems) Provide technical leadership across teams by setting best practices for experimentation, modeling, code quality, and reproducibility Mentor and develop senior and mid-level data scientists, raising the overall technical bar across the organization Communicate complex analytical insights and trade-offs to executive stakeholders, translating findings into actionable business strategies Shape long-term strategy for personalization, experimentation, and AI-driven growth at NerdWallet 8+ years of experience in applied machine learning, causal inference, experimentation, or related quantitative fields Deep expertise in causal inference methodologies (e.g., uplift modeling, doubly robust learners, instrumental variables, difference-in-differences, synthetic control, Bayesian time series) Proven experience building and operationalizing LTV models for real-time or near-real-time applications Strong software engineering and production ML experience, including Python (pandas, numpy, scikit-learn, LightGBM/XGBoost) and PySpark, Advanced SQL Experience with distributed systems and modern data platforms (e.g., Snowflake, Databricks, Spark, AWS/GCP/Azure), Version control and ML lifecycle tools (e.g., Git, MLflow) Hands-on experience with experimentation frameworks, A/B testing, and statistical diagnostics (e.g., power analysis, bias detection) Demonstrated success deploying models that materially impact revenue, efficiency, or user experience Exceptional communication skills with the ability to influence Product, Marketing, Finance, and executive stakeholders Strong strategic thinking and ability to operate in ambiguous, high-impact problem spaces Preferred Qualifications: Experience with marketplace optimization, ranking systems, or auction-based environments Familiarity with contextual bandits, reinforcement learning, or sequential decision-making systems Knowledge of streaming data architectures (e.g., Kafka, Kinesis), orchestration tools (e.g., Airflow, DBT), and feature stores (e.g., Tecton, Feast) Domain experience in fintech, marketplaces, growth, or performance marketing This role will be remote (based in the U.S.). We believe great work can be done anywhere. No matter where you are based, NerdWallet offers benefits and perks to support the physical, financial, and emotional well being of you and your family. Work Hard, Stay Balanced (Life’s a series of balancing acts, eh?) Industry-leading medical, dental, and vision health care plans for employees and their dependents Rejuvenation Policy – Flexible Vacation Time Off + 11 holidays + holiday company shutdown New Parent Leave for employees with a newborn child or a child placed with them for adoption or foster care Mental health support Paid sabbatical after 5 years for Nerds to recharge, gain knowledge, and pursue their interests Health and Dependent Care FSA and HSA Plan with monthly NerdWallet contribution Monthly Wellness Stipend, Cell Phone Stipend, and Wifi Stipend (Only remote Nerds are eligible for the Wifi Stipend) Work from home equipment stipend and co-working space subsidy (Only remote Nerds are eligible for these stipends) Have Some Fun! (Nerds are fun, too) Nerd-led group initiatives – Employee Resource Groups for Parents, Diversity, and Inclusion, Women, LGBTQIA, and other communities Hackathons and team events across all teams and departments Company-wide events like NerdLove (employee appreciation) and our annual Charity Auction Our Nerds love to make an impact by paying it forward – Take 8 hours of volunteer time off per quarter and donate to your favorite causes with a company match Plan for your future (And when you retire on your island, remember the little people) 401K with 4% company match Be the first to test and benefit from our new financial products and tools Financial wellness, guidance, and unlimited access to a Certified Financial Planner (CFP) through Northstar Disability and Life Insurance with employer-paid premiums If you are based in California, we encourage you to read this important information for California residents linked_. NerdWallet is committed to pursuing and hiring a diverse workforce and is proud to be an equal opportunity employer. We prohibit discrimination and harassment on the basis of any characteristic protected by applicable federal, state, or local law, so all qualified applicants will receive consideration for employment. NerdWallet will consider qualified applicants with a criminal history pursuant to the California Fair Chance Act and the San Francisco Fair Chance Act, which requires this, as well as the Los Angeles Fair Chance Act, which requires this. NerdWallet participates in the Department of Homeland Security U.S. Citizenship and Immigration Services E-Verify program for all US locations. For more information, please see: E-Verify Participation Poster_) Right to Work Poster / #LI-Remote

Overview: We are seeking a highly motivated and detail-oriented Data Scientist to join our team. In this role, you will be responsible for analyzing large datasets to uncover insights, develop predictive models, and help guide strategic decisions across the organization. You’ll collaborate closely with business stakeholders, data engineers, and software developers to drive data-driven innovation and continuous improvement. Key Responsibilities: • Analyze structured and unstructured data using statistical, machine learning, and data mining techniques., • Build, validate, and deploy predictive and prescriptive models to solve business problems., • Communicate findings and insights clearly to both technical and non-technical stakeholders., • Design and implement experiments (A/B testing, multivariate testing) to evaluate new strategies or features., • Collaborate with engineering teams to deploy models and ensure scalable, real-time analytics., • Develop data visualizations, dashboards, and reports to monitor key metrics., • Stay up-to-date with industry trends, tools, and technologies in data science and machine learning. Requirements: • Advanced degree in Computer Science, Statistics, Math, or equivalent experience., • 8+ years in Data science and Machine Learning., • Proficiency in ML techniques, SQL, Python/R, and big data frameworks., • Strong SQL skills for data extraction and transformation., • Experience with AI agents, LLMs, and fraud detection tools., • Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn)., • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark, Hadoop) is a plus., • Solid understanding of statistics, machine learning algorithms, and experimental design.

Summary We are seeking a senior data scientist to lead our demand modeling and product advancement efforts. As an early RightsHelper hire, you would help oversee and develop key components of our industry-leading RightsHelper platform. The ideal candidate has experience building and maintaining accurate and interpretable models for pricing, forecasting, or marketing applications in a fast-paced, enterprise environment. Our platform provides a unique opportunity for senior data scientists to work closely with leading sports and live event organizations in developing innovative techniques and advancing their decision-making. Job Functions • Develop (and improve upon) robust and extensible production demand modeling, sales forecasting, pricing, and ticket inventory optimization applications that successfully enable demand-based decision-making across sports and live event organizations., • Support junior Data Science team members in efficiently resolving complex issues that extend beyond existing documentation and guidance., • Perform model calibration processes for select partner organizations; this includes externally interacting with partner analytics leaders and successfully delivering on their specific priorities., • Improve internal and external RightsHelper modeling product documentation and internal process guidance., • Maintain and improve upon codebase with version control, collaboration, and general software development best practices., • Provide strategic input on product development, data collection, data architecture, front-end development, and general business strategy., • Help build a collaborative engineering culture focused on ownership and empathy for our customers. Required Experience • Bachelor’s or Master’s Degree in Statistics, Economics, Mathematics, Operations Research, Computer Science, or a related field., • At least four years of experience in revenue (yield) management, data science, statistical analytics, machine learning, consulting, or a related field., • Familiarity and good judgment with a broad range of modeling methodologies and tools, such as exploratory data analysis, regression models, simulation, discrete choice, optimization, Bayesian statistics, and causal inference., • Demonstrated excellence with statistical programming and development (R required, Python is a plus)., • Experience with using git/version control tools in a collaborative team environment., • Excellent reasoning, problem-solving, deduction, and communications skills., • Demonstrated ability to efficiently identify and solve complex problems in a fast-paced, entrepreneurial environment. Preferences • Experience with cloud computing (e.g. AWS, Docker) is a plus., • Proficiency with SQL and relational databases is a plus., • Knowledge of BI presentation tools and packages (e.g. R Shiny, Tableau, D3), web programming languages (e.g. HTML, CSS, JavaScript), and general programming languages (e.g. C, C++, Java) is a plus., • Knowledge of sports, concert, or ticketing industries is a plus. The base pay for this position is $120,000-$140,000. A bonus will be provided as part of the compensation package. Benefits • Medical, dental, and vision insurance, • 401(k) with employer match, • Paid parental leave (up to 14 weeks), • Flexible PTO About Us RightsHelper is a ticketing analytics and operations platform. Our team includes operators, data scientists, and engineers who have worked inside professional sports organizations and understand the complexity of managing ticketing businesses at scale. We partner with teams and rightsholders across sports and live entertainment to support smarter, more confident decisions—without compromising flexibility, transparency, or control.

We're looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company. • Develop a deep understanding of customer journey phases and key business metrics, • Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments, • Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights, • Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes, • Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends., • Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets, • Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments, • Translate complex concepts into implications for the business via excellent communication skills, both verbal and written, • Understand what matters most and prioritize ruthlessly, • Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate, • Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field, • 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting, • Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction, • Significant experience with SQL and large unstructured datasets such as Hadoop, • Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees, • Solid background in running multivariate experiments to optimize a product or revenue flow, • Strong verbal and written communication skills, • Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus, • Product analytics experience in a SAAS company, • Masters’ or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field US Zone 1 This role is not available in Zone 1 US Zone 2 $149,200 - $201,800 USD US Zone 3 $132,600 - $179,400 USD

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. As a Data Scientist II at Socure, you will occupy a high-impact, "bridge" role between our core Watchlist R&D and the Data Science Customer Applications (DSCA) teams. Your mission is to accelerate the transition from model development to real-world deployment by building the automated analysis frameworks and monitoring systems that drive customer success. You won’t just build models; you will create the technical connective tissue—including high-performance pipelines and custom dashboards—that allows Socure to onboard clients faster, resolve complex issues effectively, and continuously improve our models through a closed-loop feedback system. Develop Analysis Frameworks: Design and maintain scalable frameworks that allow the DSCA team to perform fast, effective client resolutions during POCs, onboarding, and for existing production customers. Bridge R&D and Operations: Act as the primary technical liaison between Watchlist DS and DSCA, translating complex model behaviors into actionable insights for customer-facing teams. Build Monitoring & Alerting Systems: Create and manage mission-critical dashboards and real-time alert systems to monitor model performance, identify drift, and surface false positives/negatives at a sub-segment level. Drive Closed-Loop Model Improvement: Systematically monitor customer production data and POC findings to integrate real-world feedback back into the core model development cycle. Enhance In-House Pipelines: Build and optimize end-to-end data pipelines (using Spark and Airflow) that support custom reporting and automated performance tracking for Watchlist POCs. Collaborate Cross-Functionally: Work closely with Product, Engineering, and Compliance to translate customer needs and regulatory requirements into measurable machine-learning objectives. Education: Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, or similar) with 3–5 years of experience —or— a Master’s/Ph.D. with 1–3 years of experience. Technical Proficiency: Strong programming skills in Python and SQL, with hands-on experience in Spark and Databricks. Pipeline & Infrastructure: Experience with Airflow for orchestration and a working knowledge of Infrastructure as Code (e.g., Terraform) and AWS environments. Analytical Rigor: Solid grasp of descriptive statistics, hypothesis testing, and model evaluation metrics (Precision, Recall, F-beta, ROC-AUC). ML & Data Engineering: Practical experience in data curation, labeling strategies, and building automated data-quality validation checks. Communication & Impact: Excellent ability to communicate complex technical findings to both R&D peers and non-technical stakeholders. Passion for the Domain: A strong interest in NLP, LLMs, and staying ahead of the curve in compliance and regulatory technology. Experience with Elasticsearch and real-time data indexing. Background in AML (Anti-Money Laundering), Sanctions Screening, or Identity Fraud prevention. Prior experience in a "Customer Data Science" or "Solutions DS" role where you built tools for internal or external stakeholders. Please note that sponsorship is not available at this time. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! | | |

GoodAtNumbers is building an always-on decision intelligence platform that is trying to replace what a data scientist, data analyst and a business analyst does. We are hiring a strong software engineering intern to help turn that architecture into polished, reliable product experiences. We are hiring a Software Engineer Intern (Product & Backend) for a paid 12-week summer internship from May through July 2026. This is a remote role based in the United States and is expected to be 40 hours per week. Compensation for this internship is $23/hour. This role is best for someone who enjoys building product features end-to-end, writing clean backend logic, improving code quality, and shipping systems that users can rely on. You will help build and refine core workflows across the platform while working closely with the rest of the engineering team. What you’ll work on • Build product features across areas such as workspace setup, dataset and document workflows, semantic model workflows, metrics, investigations, evidence views, decision workflows, and operator-facing product surfaces, • Design and implement backend services, APIs, data models, and application logic, • Improve code quality through testing, refactoring, documentation, and better engineering practices, • Help connect deterministic tools and backend systems to user-facing workflows in a reliable and maintainable way, • Improve performance, usability, and overall engineering quality in the core product, • Collaborate across product, platform, and ML workstreams to ship production-ready features What success looks like by the end of the internship • Meaningful product features are shipped to a high standard, • Core backend code is cleaner, better tested, and easier to extend, • The product becomes more polished, more reliable, and more ready for production use What we’re looking for • 3+ years of relevant software development experience preferred through internships, startups, research labs, open-source work, or production projects, • Strong software engineering fundamentals, problem-solving ability, and ownership, • Experience with backend development, APIs, and relational databases preferred, • Experience with modern frontend frameworks and/or full-stack application development preferred, • Experience with testing, code review, debugging, and maintainable application design preferred, • Experience with Python and/or JavaScript/TypeScript preferred, • Comfort working in ambiguous product environments and translating product ideas into shipped software, • Strong communication and execution Nice to have • Experience with React, Next.js, FastAPI, Django, Node.js, or similar frameworks, • Experience with Postgres, workflow systems, dashboards, or analytics/data products, • Experience with auth, permissions, auditability, or evidence-heavy enterprise workflows, • Experience building AI-enabled product features or working alongside ML systems Work authorization Applicants must be authorized to work in the United States for the full internship period and must be based in the U.S. during the internship. We are not able to provide employment visa sponsorship for this internship. We welcome applicants from all backgrounds and evaluate candidates based on skills, execution, communication, and fit for the role.

The Data Scientist supports data integration and modeling for a portfolio of customers, supporting adoption and high-impact use of the Epistemix software platform. This role contributes to profitable growth by driving customer satisfaction, accelerating time to insights, and accelerating our time to value for customers. Ultimately, your work supports customer satisfaction, customer retention, and revenue growth from existing customers. Epistemix helps organizations forecast outcomes and manage risk by modeling how people behave. Our platform consists of two core products: Populus, which provides access to realistic, high-resolution synthetic population data, and Polaris, which enables scenario planning through advanced data science and simulation. Together, they empower customers to evaluate the potential impact of strategies before deploying them in the real world. Organizations across healthcare, consumer industries, insurance, and government use Epistemix to reduce uncertainty, optimize decisions, and accelerate time to value. Whether estimating total addressable market, testing public health interventions, or forecasting behavior change, our tools help teams make confident decisions when pre-existing data may not exist. Leading up to our Series B financing, we are hiring key roles onto the team and entering an exciting phase of growth and innovation. Join us to combine cutting-edge technology with a purpose-driven mission to make the world a better place. Support customers’ and colleagues’ efforts to use our platform to deliver data integration, visualizations, models and recommendations that create meaningful impact Work with customer teams to understand their goals and help develop data integration, modeling, and visualization plans to support decision making Collaborate with customer and internal teams to develop, test, and validate simulation models, ensuring their accuracy and relevance for healthcare use cases Provide guidance for proposals on feasibility of scope and how to ensure impact Contribute to customer onboarding experiences and content, helping to ensure customers quickly achieve their first successes with the platform Engage with customer users to provide informal support, tips, and troubleshooting Collaborate with premium support customers by integrating data and creating models, simulations, or visualizations. Support recommendation development and action plans Participate in reviews with customers to document and improve measurable impact Provide feedback to Product and Sales teams to align offerings with customer needs Follow advancements in data science, machine learning, and healthcare analytics Commitment to understanding customer needs and helping them achieve goals Creative mindset with a passion for tackling challenging problems with data Ability to collaborate with diverse users and internal teams Strong communication skills: verbal, code, visualizations, and maps Strong foundation in machine learning, data modeling, and predictive analytics Understanding of key concepts of the healthcare industry required. Prior healthcare experience (broadly defined) very strongly preferred Comfort working in a dynamic environment with evolving priorities and customer needs Proficiency in Python and associated data science technologies Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools Expertise in SQL or NoSQL databases preferred 2-3 years prior experience as a Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. (Work in PhD program can count toward experience) Masters or Ph.D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, Mathematics, or similar quantitative field Experience with more than one company size or business stage preferred Must be legally authorized to work in the United States and not require employer sponsorship now or in the future. By joining Epistemix, you will become part of a collaborative and rapidly growing team that values curiosity and creativity. We are fully remote, with team members in the United States and Europe. Benefits include: Equity & Incentives – Participation in our stock option program. Flexible Time Off – Autonomy to manage your schedule and work-life balance. Health, Welfare and 401(k) Programs – Eligibility for benefits (for U.S. employees). Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference. This is a remote position open to applicants located in the United States. Candidates must possess the legal right to work in their intended work location, as we are currently unable to sponsor or transfer employment visas for any country, including the United States.

Valo Health is a human-centric, AI-enabled biotechnology company working to make new drugs for patients faster. The company’s Opal Computational Platform transforms drug discovery and development through a unique combination of real-world data, AI, human translational models and predictive chemistry. Our talented team of biologists, chemists and engineers, armed with advanced AI/ML tools, work together to break down traditional R&D silos and accelerate the speed and scale of drug discovery and development. Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We embrace new ways of learning, solve complex problems and welcome diverse perspectives that can help us advance patient-centric innovation. Valo is headquartered in Lexington, MA, with additional offices in New York, NY and Tel Aviv, Israel. To learn more, visit _. Staff Data Scientist, Graph ML About Us Valo Health is a technology company applying human and machine intelligence to accelerate the creation of life-changing medical treatments. At the core of this vision is Valo’s computational platform: an end-to-end, integrated drug discovery and development engine built from the ground up. Valo hires the best and gives them first-class training and support. We approach our work fearlessly, learn quickly, improve constantly, and celebrate our wins. A centerpiece of our culture is our commitment to inclusion across race, gender, age, religion, identity, and experience. Diversity fuels the Valo experience and drives us every day. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential. As Staff Data Scientist, Graph ML, you will develop and deploy graph ML solutions to synthesize and extract novel insights from Valo data in the context of a vast corpus of knowledge in medicine, molecular biology, human genetics, and drugs, to drive compute-enabled biological hypothesis generation. Our innovative platform leverages advanced computational techniques, starting with patient data, to bring better medicines to patients, faster. You will be responsible for developing and delivering graph ML and network biology-based analyses that generate and support drug target hypotheses on the path to discovery of new medicines. You will collaborate closely with a diverse group of data scientists and biologists to enable the contextualization of predicted drug targets within relevant patient subpopulations. You will also be accountable for communicating methodological approaches and key results to internal and external cross-functional stakeholders. Additionally, you will work with other data scientists, software engineers, and data engineers to continue building and improving Valo’s integrated graph platform to accelerate insights across multiple projects and applications. A successful candidate brings deep technical expertise in graph machine learning, network analytics, and modern data science best practices, along with experience in biology research in the context of drug discovery, and curiosity and excitement to learn. What You’ll Do… • Lead the design, implementation and application of graph ML and network biology approaches to target discovery from RWD and multi-omic datasets., • Prototype new approaches aimed at enhancing and improving Valo’s graph platform, seeking out new scientific opportunities to increase the team’s impact., • Work with world-class engineers to ensure that graph methodologies, graph construction, and underlying data are robustly integrated, to develop generalizable solutions to core scientific problems., • Apply your technical knowledge and intuition to break down large problems into solvable pieces. Time is limited; you’ll need to prioritize which problems are critical-path today from those that can wait., • Be an agile and pro-active Data Science team member, providing regular updates on your work, and input into the work of your colleagues; championing data science best practices; participating in code, design, and analysis review. What You Bring… • MS or PhD in a quantitative field with extensive experience at the intersection of machine learning and graph analytics, • Experience in healthcare, medicine, molecular biology, computational biology, or life sciences., • Advanced knowledge of and experience with graph ML techniques such as Graph Neural Network (GNN) models applied to link prediction, node classification, and other biomedical-relevant computational tasks, as well as related explainability methods, • Experience or general knowledge of knowledge-graph building and graph databases, • Familiarity with general graph algorithms and relevant Python libraries, • Strong experience in Python and machine learning and/or deep-learning frameworks (e.g., pytorch), • Experience with data science best practices (data provenance, code versioning, reproducibility, git, etc), large-scale data analytics engines (e.g., Spark or Dask), and working in cloud environments (e.g., AWS), • Strong data visualization, analytical, problem-solving, and communication skills, with demonstrated ability to condense, summarize, and synthesize results into informative and actionable presentations to experts from different fields. Nice to have… • Experience with traditional drug discovery and development processes and approaches, • Domain expertise in neuroscience, immunology, and/or cardio-metabolic biology, • Knowledge of related data science domains, including statistical genetics, multi-omics & real-world evidence Remote Salary Range $200,600 - $236,000 USD MA Salary Range $170,000 - $200,000 USD Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Valo Health currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Valo Health's good faith estimate as of the date of publication and may be modified in the future. Please note: At this time, we are only able to consider candidates who currently have permanent US work authorization without the need for immediate or future sponsorship.

Spotify’s mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by these creators. Everything we do is driven by our love for music, podcasting and audiobooks. Today, we are the world’s most popular audio streaming subscription service with a community of more than 678 million users. We are looking for an extraordinary Data Scientist to join the band and build core analytics to support our Music Partnerships teams, meaning the teams at Spotify who interface with artists, artist managers, songwriters, record labels and music publishers. • Perform analyses on large sets of data to extract actionable insights that will drive decisions, with a particular focus on artist and release performances, • Engineer novel data sets, features and reports that shed a new light on the dynamics of music listening, • Communicate data-driven insights and recommendations to non-technical audiences, through clear visualizations and data storytelling, • Craft high impact presentations for senior management on the Music Partnerships teams, • Evaluate Spotify’s value exchange with music partners and build compelling data visualization tools to move it forward, • Model statistical predictions to surface growing artists, genres and music trends, so as to inform resource allocation in and around Spotify’s Music organization, • You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics; advanced degree is desirable, • 2+ years of relevant experience analyzing complex data with SQL, Python, and/or R, • You are passionate about music and popular culture in general. Previous experience in music is a preference. Other media, entertainment, or technology experience is also highly valued, • You are a natural communicator. You focus just as much on how you deliver your findings, as you do on the technical craft of uncovering new insights., • Experience building data visualizations and dashboards (e.g., Tableau or similar BI solution), • Modeling and statistical knowledge, such as forecasting, AB-testing, or feature engineering for machine learning is a plus, • A curiosity for, and investigative approach towards the ways in which AI reshapes data science and analysis is also valued., • Experience creating and scheduling datasets is highly valued. Knowledge of Google’s BigQuery, or DBT is a plus, • This role is based in New York, NY, • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 3 times per week.The United States base range for this position is $89,093-$127,262, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Swiftly is a retail digital technology startup founded in 2018 and headquartered in the Bay Area. We empower regional and independent grocers to compete in a digital-first world by providing best-in-class app, web, loyalty, and e-commerce solutions—without SaaS fees. Instead, Swiftly drives revenue through its retail media network, sharing profits with retailer partners.With 70+ retailer banners and Series C funding, Swiftly is the first in the industry to seamlessly connect digital and in-store shopping. Our AI-powered platform helps retailers build strong digital relationships, while our solutions—Audience Optimizer™, Alcohol Cashback, and Offsite Campaigns—drive shopper engagement and brand success. Our mission: Enable brick-and-mortar retailers to thrive in a digital world. Position Summary:Swiftly is searching for a data scientist that will tackle some of the most challenging and impactful problems that are transforming how we recommend products to users. This role will be embedded within our data-drive product team as a trusted partner to uncover barriers in the product’s usability and utilize these insights to inform product improvements that drive angle-changing growth. We’re looking for a self-driven, strategic thinker who can hit the ground running to ultimately influence decision-making across the entire organization. • Own analytical frameworks that guide the product roadmap, • Design rigorous experiments and interpret results to draw detailed and actionable conclusions, • Develop statistical models to extract trends, measure results, and predict future performance of our product, • Build simulations to project impact of various product and policy interventions, • Enable objective decision making across the company by democratizing data through dashboards and other analytical tools, • Other related duties as assigned, • 4+ years of industry experience architecting, coding, verifying and operating large-scale data pipelines and architectures, • B.S. in Mathematics, Statistics, Computer Science, Computer Engineering, or a related field, • Strong familiarity with Databricks, including building models, creating job pipelines, and managing interactions within the platform, • Proven experience with clustering models and machine learning for marketing use cases such as forecasting, customer segmentation, and marketing mix modeling, • Solid proficiency in PySpark to handle and process large-scale datasets efficiently, • Must be authorized to work in the United States without the need for current or future visa sponsorship, • Ability to think outside the box to uncover and solve hidden data quality or consistency issues, • Advanced understanding of statistical theory, including confidence intervals, hypothesis testing, and p-values, • Ability to design and implement scalable pipelines and analytical solutions that enable data-driven decision-making, • A mix of startup and large software company experience, comfortable navigating different scales and cultures, • Ability to work west coast hours $155,000 - $165,000 a yearThe salary range is based on the candidates experience as it relates to the role. #LI-RemoteNote: We are unable to sponsor or take over sponsorship of employment visas at this time. Working For SwiftlyWe are working on a set of problems that require the best in the industry to get right. Our employees are the pillars of the future of the company and they are treated and compensated as such. We're a growing team of experienced industry professionals building an organization that can solve tough problems and values a collaborative environment. Every Swiftly employee: -Has demonstrated the ability to work collaboratively in an ambiguous, fast-paced environment -Takes ownership of their domain from the ground up, from inception through deployment to customers -Leaves their ego at the door and ensures the best idea leaves the room -Is always experimenting with new technologies and learning new skillsets If you've ever wanted to work on a project that blends a gorgeous consumer experience, sophisticated logistics, and scale that rivals the largest technology players, Swiftly is the place for you. Equal Opportunity Employer Swiftly is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Swiftly will make reasonable accommodations in compliance with the Americans with Disabilities Act of 1990. Reasonable accommodations are available for qualified individuals with disabilities throughout the subsequent application process.

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Senior Data Scientist - VLM (LATAM) Xometry is seeking a Senior Data Scientist to join our Generative AI team. The candidate will focus on training and fine-tuning Visual Language Models (VLMs) for multimodal document understanding. The ideal candidate will leverage their expertise in machine learning and computer vision to advance Xometry's capabilities in processing and extracting structured data from complex documents and images. This is a 1-year contract. Responsibilities: • Develop, fine-tune, and evaluate Visual Language Models (VLMs) to enhance document understanding, focusing on multimodal data such as text, images, and technical drawings., • Design and implement data preparation, cleaning, and augmentation processes tailored to multimodal model training, ensuring high-quality data pipelines for VLMs., • Leverage transfer learning and pre-trained models to accelerate model development and optimize performance on Xometry’s specific data., • Use cloud resources (e.g., Amazon Web Services) to scale training and fine-tuning processes for VLMs efficiently., • Collaborate with data engineering and machine learning operations (MLOps) teams to deploy VLMs into production and monitor their performance., • Interpret model outputs and improve model accuracy and robustness by applying data analysis and visualization tools (such as Python, Jupyter Notebooks, and SQL)., • Experiment with and implement state-of-the-art model architectures, continuously optimizing VLM performance in a fast-paced, iterative environment., • Work within a team-oriented setting, participating in peer reviews, sharing insights, and contributing to an environment of continuous learning and improvement. Requirements: • A bachelor’s degree is required; an advanced degree (M.S. or PhD) in computer science, data science, machine learning, or a related field is highly preferred., • 5+ years of experience in data science and machine learning, with expertise in Visual Language Models or multimodal machine learning., • Strong experience with machine learning libraries and frameworks such as PyTorch, TensorFlow, or Hugging Face., • Proficiency in Python, including libraries like pandas, numpy, and scikit-learn., • Solid understanding of deep learning techniques and experience with transfer learning, fine-tuning, and model evaluation., • Experience with cloud platforms (e.g., AWS SageMaker) for model training and deployment., • Familiarity with data processing and visualization tools (SQL, Jupyter Notebooks, Looker, etc.) and basic database knowledge (e.g., Snowflake, MongoDB)., • Excellent analytical and problem-solving skills, with a strong ability to work in an environment that values teamwork, innovation, and continuous learning., • Familiarity with computer vision tasks and frameworks, as well as experience with multimodal data, is a plus. #LI-Remote Here at Xometry we believe in diversity, equity, inclusion and belonging. We are committed to welcoming, respecting, and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

As the first Unified Growth Platform, Thirdwave empowers blockchain projects with the analytics and insights to understand their customers and the actions that accelerate their growth. We deliver the key infrastructure and tools to enable projects to control their destiny. We connect people to the projects, games, and communities they love. Thirdwave is looking for a highly skilled Data Scientist to join our team. Our ideal candidate is someone with a strong analytical mindset, capable of leading advanced data analytics projects and contributing to the overall data science strategy. You like emerging technologies like Blockchains and are passionate about shaping the industry. As a Data Scientist at our startup, you will be pivotal in analyzing billions of blockchain wallets and tens of billions of transactions to derive actionable insights. You will develop and refine both descriptive statistics and predictive models, leveraging your expertise to understand complex blockchain ecosystems and drive data-informed decisions. With significant autonomy, you will have the opportunity to influence our product’s direction and contribute to the company's growth. You’ll Also: • Building predictive and descriptive statistical models using financial data, such as Lifetime Value (LTV), • Deploying and maintaining models, code, and data pipelines for customer-facing applications, • Collaborating closely with engineers and product teams to develop models that drive data-driven decisions, • Enhancing our product offerings and identifying new growth opportunities, • Optimizing models for performance and cost in distributed data warehouses, • Conducting data mining on public data to extract actionable insights, • Managing ETL connectors to ensure seamless data flow across systems, • Guiding the development of visualizations to present data findings in an intuitive and accessible manner About you • Fast learner, self-starter, go-getter, and intellectually curious, • Strong communicator with the ability to think about data at scale and beyond individual record levels., • Passionate about Blockchain and have a fundamental understanding of protocol mechanisms., • Comfortable interacting with various APIs, and raw blockchain queries. Minimum Qualifications • Proficient in building predictive and descriptive models with financial and blockchain data, • Experience with distributed data warehouses (e.g., Snowflake, Redshift, or Spark) and optimizing models for performance and cost, • Experience with DBT (Data Build Tool) for transforming data within data warehouses, • Expertise in data mining and managing ETL processes, • Strong programming skills in Python and SQL, • Experience with data orchestration frameworks (e.g., Dagster, Luigi, or Prefect) and monitoring tools (e.g., Datadog), • Familiarity with cloud platforms (e.g., AWS) and databases (e.g., Postgres, Redis), • Ability to develop and deploy customer-facing applications and visualizations Preferred Qualifications • Prior experience in the blockchain or fintech industries, • Strong understanding of statistical and machine learning methodologies, • Ability to work in a fast-paced startup environment and collaborate with cross-functional teams Location • Flexible, Remote What We Offer • Comprehensive medical, dental, and vision coverage for you and your family, • Additional benefits to help care for your family such as flexible parental leave and fertility & adoption assistance, • Unlimited PTO, including two recharge weeks (two company-wide weeks off, 13 paid holidays AND a $1000 vacation stipend once a year to spend on travel, etc., • Awesome Perks including a $200 monthly Wellness Stipend to support not just your 'health & fitness' but your general wellbeing, a $500 home office budget to get you set up at home, and a $125 monthly phone & internet stipend

Analytica is seeking a Data Scientist to support long term federal client engagements projects in the DC Metro area. The role will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems. This position is fully remote. Analytica has been recognized by Inc. for 3 consecutive years as one of the 250 fastest growing business. We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match. Responsibilities include: • Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using Python. Strong candidates will explain various methods you have applied using common pre-processing functions such as stop word removal, stemming, lemmatization, and tokenization., • Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP feature engineering methods such as TF-IDF, word2vec, GloVe, and FastText identifying the key determinants for modeling that exist in the business process and within existing data sets as well as selecting evaluation protocols (model techniques)., • Modeling - Candidates will have practiced skills and experience selecting classification modeling techniques to fit the business problem. Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc., • Validation - Strong candidates will describe their experience with investigating, reporting, and justifying model results., • Visualization- Experience in presenting the results of their modeling activities, depicting the insights realized, and explaining the relevance of their results to the organization’s business challenges.Qualifications:, • Master's degree required, and PhD preferred in Statistics, Mathematics, Computer Science, or similar, • High degree of experience utilizing SAS, R, or Python to support NLP use cases such as Document Summarization, Named Entity Recognition, Sentiment Analysis, and/or Topic Modeling, • At least four years of experience developing scalable, production-ready NLP solutions using sci-kit learn, Keras, TensorFlow, PyTorch, Spark NLP., • Experience using git/github to version control source code, • Experience leveraging transformer architecture to develop NLP models, • Experience with open source NLP packages such as Gensim, SpaCy, or NLTK., • Experience with BERT, GPT-J, RoBERTa, T5 or other transformers, • Experience with GenAI and Prompt Engineering is a plus, • Experience in Databricks and MLFlow is a plus, • Experience with machine translation and transcription of foreign language documents using Microsoft Azure translation services is a plus, • Experience working in an AWS cloud environment and with related AWS services such as Bedrock and Textract, • Experience coordinating and maintaining user stories, • Must be a US citizen, • Must be able to obtain and maintain a Public trust security clearance About : Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at and is an _ provider. Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law. To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process. • Application Review: AI tools may help identify skills and experiences relevant to the role., • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points. These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers. By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

Healthcare in the U.S. is fundamentally broken. The system is so complex that 88% of U.S. adults do not have the health literacy necessary to navigate it without help. Solace cuts through the red tape of healthcare by pairing patients with expert advocates and giving them the tools to make better decisions—and get better outcomes. We're a Series C startup, founded in 2022 and backed by Inspired Capital, Craft Ventures, Torch Capital, Menlo Ventures, Signalfire, and IVP. Our U.S. based team is lean, mission-driven, and growing quickly. Solace isn't a place to coast. We're here to redefine healthcare—and that demands urgency, precision, and heart. If you're looking to stretch yourself, sharpen your edge, and do the best work of your life alongside a team that cares deeply, you're in the right place. We’re intense, and we like it that way. Read more in our Bloomberg funding announcement _. At Solace, data isn't just about understanding the past; it's about predicting the future. We are a rapidly scaling startup where we work hard, move fast, and wear many hats. The Solace Data Team is looking for a Data Scientist who excels at forecasting, prediction, and machine learning to help us anticipate patient needs and optimize our operations. Reporting directly to the VP of Data, you will have the opportunity to lead high-impact projects that directly influence our strategic decision-making. In this role, you will go beyond descriptive analytics to build the predictive engines that drive our business. Whether you are forecasting operational volume, modeling patient risk, or designing rigorous A/B tests, you will bridge the gap between advanced statistics and practical business application, ensuring our models are robust, interpretable, and impactful. Build Predictive Models: Develop and refine machine learning models to solve critical business problems, such as predicting patient churn, estimating operational volume, or scoring advocate quality. Drive Forecasting Rigor: Own the development of time-series forecasts that guide our capacity planning and resource allocation. You will help us anticipate "what comes next" with higher accuracy. Design & Analyze Experiments: Lead the design and analysis of A/B tests and causal inference studies. You will ensure we measure the true impact of our product and operational changes. Uncover Deep Insights: Apply advanced statistical methods to complex datasets to find patterns that simple reporting might miss. You will answer the "why" and "how" behind our most difficult questions. Productionize Solutions: Work closely with Data Engineers to take your models from a local notebook to a production environment, ensuring they run reliably within our data infrastructure. Communicate Complexity: Translate complex statistical findings into clear, actionable narratives for non-technical stakeholders. You will be the voice of statistical reason in strategic discussions. Statistical Expertise: You have a strong background in statistics, probability, and mathematics (e.g., hypothesis testing, regression analysis, time-series forecasting). Python & ML Proficiency: You are fluent in Python and its data science ecosystem (pandas, scikit-learn, statsmodels, NumPy). You write clean, reproducible code. Forecasting Experience: You have hands-on experience with time-series analysis and forecasting techniques (e.g., ARIMA, Prophet, exponential smoothing). Advanced SQL: You can write complex queries to wrangle your own data from Snowflake without relying solely on others to prepare it for you. Preferred Masters Degree or PHD: Data Science, Applied Science, or related fields. Data Privacy Awareness: You understand the importance of protecting patient data. You are familiar with best practices for handling PHI and PII and ensuring privacy in your analysis. Startup DNA: You are a self-starter who is comfortable with ambiguity. You take ownership of problems and are willing to wear many hats to get the job done. Deployment Experience: Experience using tools like Docker, Airflow, or MLflow to deploy and monitor models in production. Healthcare Experience: Experience working with healthcare or insurance claims data is a plus. NLP & Unstructured Data: Experience applying Natural Language Processing (NLP) techniques to extract insights from unstructured text data. Marketplace Matching: Experience designing matching algorithms or ranking systems for two-sided marketplaces. dbt & Engineering Skills: Comfort reading or writing dbt models to understand the lineage of your data. Applicants must be based in the United States. Up for the Challenge? We look forward to meeting you. Fraudulent Recruitment Advisory: Solace Health will NEVER request bank details or offer employment without an interview. All legitimate communications come from official solace.health emails only or _. Report suspicious activity to recruiting@solace.health or advocate@solace.health.

Daymark Solutions is an experienced technology integration and solutions provider that helps organizations effectively architect, implement, and deploy customized solutions using best of breed technologies. Specializing in cloud solutions and datacenter technologies, Daymark’s unique combination of in-depth technical knowledge, extensive experience, and proven methodologies enable our customers to successfully address even the most difficult business and technology challenges. The Role We’re looking for an M365 Architect who thrives on solving real business challenges and shaping how modern workplaces operate. As a senior member of our Professional Services team in the Modern Work practice, you’ll lead high-impact discovery and pre-sales engagements—partnering with clients to uncover their needs, define the right solutions, and clearly articulate the value behind them. You don’t just design solutions; you influence decisions. This role is a true blend of pre-sales (50%) and post-sales (50%) consulting, giving you full ownership from the first conversation through successful delivery. You’ll architect, scope, and implement Microsoft 365 solutions while serving as a trusted advisor every step of the way, guiding clients through complex decisions and ensuring outcomes that are both technically sound and business-driven. Responsibilities • Lead technical discovery and pre-sales engagements, translating customer business needs into solution architectures, scope definitions, and compelling value propositions in partnership with the sales team., • Design, configure, and implement cloud and technology solutions while delivering documentation and knowledge transfer to customer stakeholders., • Serve as a trusted advisor throughout the project lifecycle, driving successful deployments, resolving complex technical challenges, and ensuring customer satisfaction and adoption goals are met., • Advise customers on best practices, whether with industry standards or your own recommendations, around Microsoft 365 including tenant configuration, security, integrations, endpoint management, data governance, and Artificial Intelligence., • Contribute to expanding our Microsoft partnership & Modern Work practice through growth in CSP and Professional Services revenue, the development of new technical skills & focus areas, and building relationships with key Microsoft resources., • Participate in knowledge exchanges with coworkers, regularly sharing and receiving knowledge to enhance our Microsoft 365 services, including best practices, implementation strategies, complex architectures., • Collaborate with team members to define and implement/document standards and methodologies for Professional Services engagements., • Learn security and compliance frameworks including but not limited to Cybersecurity Maturity Model Certification (CMMC) 2.0 for Defense Industrial Base customers leveraging Microsoft Azure Government and Microsoft 365 GGC High. Technical Requirements Experience with the Microsoft Partner ecosystem including Solution Partner designations, Advanced Specializations, and how to achieve them. Insight into Microsoft programs and customer funding mechanisms including ECIF. Knowledge and experience with many of the following technologies as possible: Core Microsoft 365 services including Exchange Online, SharePoint Online, Entra ID Microsoft Teams, and OneDrive for Business. Microsoft 365 GCC High in support of regulated environments specifically the Defense Industrial Base. Installation, configuration, and optimization of Entra ID Connect in large complex AD environments. Microsoft Purview, including Information Protection and Rights Management. Microsoft Intune for Mobile and Windows Autopilot, app deployment, device lifecycle, configuration profiles. Microsoft Defender Suite, including Defender for Endpoint, Defender for Cloud Apps, and Defender for Identity. Microsoft 365 Copilot and Copilot Studio. Power Platform, including Power Automate and Copilot Agents. Azure Virtual Desktop and Windows 365 Endpoint management. Quest On Demand Migration tools and/or 3rd party migration solutions. Microsoft Certifications or the ability to achieve them during the first 6-12 months: Microsoft 365 Certified: Administrator Expert (MS-102) Cybersecurity Architect Expert (SC-100) Security Operations Analyst Associate (SC-200) Identity and Access Administrator Associate (SC-300) Information Protection Administrator Associate (SC-401) Azure Administrator Associate (AZ-104) Additional Requirements • A business and technology mindset that can identify ways to grow our org and expand our capabilities., • Proven experience in identifying business challenges and requirements, building and delivering compelling presentations, crafting detailed statements of work, and clearly and concisely conveying solutions to both engineers and C-suite stakeholders., • The ability to lead multiple pre-sales engagements simultaneously and identify ways to drive repeatability and innovation within the team., • Strong organizational skills and the ability to own customer engagements end-to-end, including pre-sales architecture and design, scope and license planning, solution implementation, project management, communication, and documentation., • Strong written and verbal communication skills and the ability to clearly articulate both business and technology topics., • Excellent problem-solving and troubleshooting skills including the ability to manage communications internally and with the customer during challenging situations., • Important: U.S. citizenship is required due to access requirements for Azure Government, Microsoft 365 GCC High, and Defense Industrial Base environments. Preferred Qualifications • Relationships with Microsoft Sales, Technical Specialists, Product Managers, Program Managers, MVPs., • Deep experience with Cybersecurity Maturity Model Certification (CMMC) 2.0, • Deep knowledge of developing advanced PowerShell scripts for automating critical tasks during implementations, migrations and assessments., • The ability to help develop and refine our growing Data & AI practice leveraging your experience with Microsoft Fabric, Microsoft Foundry, Dataverse, and/or Copilot Studio including currently holding or the ability to achieve the following certifications: Azure AI Engineer Associate (AI-102), Azure Data Scientist Associate (DP-100), Azure Data Engineer Associate (DP-203), and/or Azure Database Administrator Associate (DP-300)., • The ability to help build and grow our Microsoft Power Platform practice including currently holding or the ability to achieve any of the following certifications: Power Platform Functional Consultant Associate (PL-200), Power BI Data Analyst Associate (PL-300), Power Platform Developer Associate (PL-400), Power Automate RPA Developer Associate (PL-500), and/or Power Platform Solution Architect Expert (PL-600)., • Any experience with 3rd party solutions that integrate with Microsoft 365 environments including but not limited to Varonis, Okta, Mimecast, Proofpoint, Druva and/or AvePoint., • Experience with any highly regulated environments and the associated frameworks for Banking, Life Sciences, Government, Cyber Security, etc. HR Information Full-time, permanent role Base Salary: $200,000 annually (up to $230,000 in On-Target Earnings) Comprehensive employee benefits plan Fully remote work

Title: Data Scientist Desired Location: US, REMOTE The world of payment processing is rapidly evolving, and businesses are looking for loyal and strategic partners, to help them grow. Meet Nuvei, Nuvei is the global fintech building the infrastructure for every payment, everywhere. Its modular, flexible, and scalable technology enables leading companies to accept next-generation payments, offer all payout options, and benefit from card issuing, banking, risk, and fraud management services. Connecting businesses to their customers in more than 200 markets, with local acquiring in 52 markets, 150 currencies, and over 720 alternative payment methods, Nuvei provides the technology and insights for customers and partners to succeed locally and globally through one integration. At Nuvei, we live our core values, and we thrive on solving complex problems. We’re dedicated to continually improving our product and providing relentless customer service. We are always looking for exceptional talent to join us on the journey! Your Mission We are looking for a Risk & Payments Intelligence Analyst to join our Risk & Fraud team. In this role, you will analyze data related to ACH transactions, ML risk scores, risk rules, decisioning systems, and vendor data to understand performance, surface emerging trends, and inform ongoing optimization of payment program decisions. This role focuses on portfolio and system level analysis rather than case-by-case transaction review or manual queues, and requires strong analytical judgment in ambiguous, data-constrained environments, including the evaluation of new data, analytical methods, and AI-assisted approaches as our risk capabilities evolve. Key Responsibilities · Analyze end-to-end ACH payment decisioning performance, including ML risk scores and risk rules, across approvals and losses. · Detect and analyze emerging trends in customer behavior, payment outcomes, and risk signals. · Evaluate how changes in strategies, data, or rules impact downstream decisioning and outcomes over time. · Independently define analytical questions, assemble datasets from multiple sources, and iterate toward insights without predefined reporting templates. · Use Python to perform exploratory data analysis, feature evaluation, cohort analysis, and experimentation across large ACH and risk datasets. · Develop repeatable analytical workflows and lightweight tooling in Python to accelerate insight generation and reduce manual analysis overhead. · Perform ad hoc analyses to evaluate the value and usefulness of new or existing data signals for risk decisioning. · Design analyses and reporting that support ongoing risk reviews, strategy discussions, and portfolio-level monitoring. · Explore and apply established and emerging analysis techniques to accelerate insight generation, trend detection, and decision support within regulated risk and payment datasets. · Partner with Risk, Product, and Relationship Management teams to inform strategy refinement and prioritization. · Communicate trends, findings, and recommendations clearly to internal stakeholders and, when applicable, external clients. · Work with large, imperfect, and regulated datasets to form actionable conclusions despite data gaps, latency, or attribution challenges. 3+ years of experience in payments risk, fraud analytics, or decisioning performance analysis within fintech, payments, or e-commerce. · Experience working with ACH or bank transfer payment data strongly preferred. · Strong SQL skills and experience working with large transactional datasets. · Strong Python skills for data analysis (e.g., pandas, notebooks), experimentation, and analytical automation. · Experience managing and analyzing data related to risk-based decision systems, or similar decisioning frameworks. · Ability to translate complex analytical findings into clear, actionable recommendations for technical and non-technical audiences. · Comfort operating in ambiguous environments with incomplete, delayed, or imperfect data. · Experience using AI-assisted tools or models for data analysis, pattern discovery, or insight generation is a plus. Working Language • English (written and spoken) is the language used most of the time, as work colleagues, clients, and strategic suppliers are geographically dispersed. Our recruitment process may use automated tools, including AI, to support application management and candidate shortlisting.

Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together. Core Data Science (Core DS) accelerates Thumbtack’s success through scalable, scientific decision-making. We drive impact across the business by building shared programs and tools that improve how teams measure outcomes and make decisions, and by leading rigorous analysis on cross-cutting, company-wide questions. As a member of Core DS, you will lead high-impact work end-to-end, from identifying opportunities and structuring the approach, to executing rigorous analysis and communicating to stakeholders. You will collaborate closely with other data scientists and cross-functional partners, deliver insights that inform strategy and execution, and contribute to shared capabilities that strengthen data-driven decision-making across Thumbtack. As a senior contributor, you may also mentor others and help shape the team’s scientific culture through guidance and training. • Identify, scope, and deliver high-impact projects end-to-end, leveraging the right resources and partners, • Proactively coordinate and collaborate with stakeholders to maximize the impact and adoption of your work, • Clearly communicate insights and business implications to audiences ranging from technical to executive, using the right level of complexity and narrative to influence decisions and roadmaps, • Develop frameworks and measurement approaches that make complex marketplace and product questions intuitive and actionable, • Apply rigorous analytical and causal inference methods (e.g., experimentation, quasi-experimental designs, forecasting/measurement) balancing rigor with practical constraints (time, complexity, marginal value), • Own and improve shared decision-making programs and infrastructure, such as experimentation practices, market-based testing, and impact measurement, • Design, build, and maintain shared DS tooling and reusable assets (e.g., notebooks, libraries, training, standardized metrics, and key models that empower other teams), • Mentor other scientists/analysts and lead trainings/courses to raise the bar for scientific decision-making across the company, • 3+ years of professional experience in economics, analytics, or data science (e.g. in tech, consulting, government, etc), • Proficiency with empirical econometrics toolkit (experimentation; methods for causal inference such as IV; panel data methods; discrete models; etc), • Proficiency with SQL, • Proficiency with R or Python, including strong data visualization skills, • Strong communication skills: able to communicate complex methods in intuitive and simple ways, easily able to adapt messaging to fit the audience, able to identify/highlight key information, • Ability to build strong relationships cross-functionally and with senior leadership, • Proficiency with data wrangling and organizing data for different models or analyses; and organized workflows and project management skills, • For candidates living in San Francisco / Bay Area, San Jose, New York City, or Seattle metros, the expected salary range for the role is currently $197,200 - $255,200., • For candidates living in Austin, TX or Washington DC metros or in California, Massachusetts, New Jersey, or Washington states, the expected salary range for the role is currently $177,700 - $229,900., • For candidates living in all other US locations, the expected salary range for this role is currently $167,500 - $216,700. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. #LI-Remote Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law. Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: _. 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