Trabajos data scientist en Memphis, TennesseeCrear alertas

What we are looking for Verasight is building the future of survey research with unparalleled data quality and a re-imagined respondent experience. Our team recognizes the importance of high-quality data for our customers to make key decisions that affect national policy, academic research, the direction of Fortune 500 companies, and important public conversations. We are looking for a Data Scientist to help us expand our capacity to field high quality surveys for our clients. This role will apply and expand Verasight’s code base to execute rigorous and replicable data collection, analysis, quality control, and reporting methods. We are a scrappy team and you will have an opportunity to help expand access to high quality survey data. We depend on colleagues who are diverse, team oriented, novel thinkers, and passionate about redefining the data landscape. Verasight works to create a welcoming community in which all individuals are respected and included. Meet the Verasight team here: https://www.youtube.com/watch?v=WC3Zx3TKZzc How to Apply Does this position sound like a good fit? Email us at • Include this role's title in your subject line (it'll help us to sort through the emails), • Include your CV/Resume, a one-paragraph statement of interest, and a link to your GitHub profile (if available) Responsibilities • Leverage Verasight’s data pipelines and processing procedures to own the data collection and quality process from end to end, including: building contact lists and sampling frames, monitoring survey fielding, cleaning and analyzing survey response data, writing methodology documentation, and preparing client deliverables, • Manage multiple simultaneous projects throughout all stages of the project life cycle, identifying potential roadblocks early and proactively proposing solutions, • Contribute, in collaboration with the Verasight team, innovative methods of automation and expand the data science team “toolbox” to suit a wide variety of data needs, • Conduct internal experimentation and research to hone Verasight’s approach to survey research, • Bring a creative and solutions-oriented mindset Required Qualifications • Experience coding in R, including writing custom functions, package development, REST API integration, and writing reusable and well documented code, • Enthusiasm for bringing AI tools (such as Claude Code) to survey research, • Knowledge of quantitative survey research methodologies, statistical concepts, and the ability to apply them to solve novel problems, • Innovative, independent mindset and a willingness to learn new technical and statistical skills when needed to tackle emerging challenges, • Strong communication skills to suit a highly-collaborative fast-paced remote work environment, • Experience managing multiple ongoing projects with competing deadlines, • Commitment to working in an inclusive environment Preferred Qualifications • Experience with commonly used survey software platforms, such as Qualtrics, • Familiarity with GitHub for collaborative code development, • Practical experience using voter file data (e.g., L2, Catalist, TargetSmart), • Knowledge of survey weighting practices, including population benchmark data (e.g., Census) and poststratification techniques (e.g., raking), • Experience writing SQL, • Familiarity with JavaScript, • 2+ years of survey or social science research experience Benefits • Competitive salary based on experience, • Health insurance, • 401k with company matching, • Opportunity to travel to represent Verasight at conferences, • Gain experience working directly with government agencies, nonprofits, academic researchers, and corporations, • Remote work About Us Founded by Peter Enns (Cornell Professor of Government & Public Policy) and Ben Leff (Stanford GSB and ex. Goldman Sachs), Verasight was built by and for academic researchers. Our customers include national media organizations, Fortune 500 companies, national and state government agencies, investors, brands, and researchers. We are looking for bold leaders to join our team to re-invent what it means to collect and analyze survey data.

Sr. Data Scientist (Live Anywhere) Looking for your next challenging opportunity? Then this role is for you! We are targeting a resource with a background in Operations Research and Mathematical Optimization Modeling with a Retail or Supply Chain domain. RESPONSIBILITIES: • Perform Exploratory Data Analysis (EDA), • Develop models from scratch using AI for development, • Generate ideas and develop solutions, • Develop models (testing and training), • Create prototypes and Proofs of Concept (POCs) for rapid validation and feasibility assessment, • Conduct experiments and measure impact, • Deploy models into cloud production environments, • Monitor model performance This is a tremendous opportunity to work on highly visible projects! Enjoy a casual dress code, dynamic and high-energy team members, and the ability to learn and execute business skills from a leader in their industry. This 12-month contract position in Atlanta, and you can work remotely. Visionaire Partners offers all full-time W2 contractors a comprehensive benefits package for the contractor, their spouses/domestic partners, and dependents. Options include 401k with up to 4% match, medical, dental, vision, life insurance, short and long-term disability, critical illness, hospital indemnity, accident coverage, and both Medical and Dependent Care Flexible Spending Accounts. REQUIRED SKILLS: • 2-3 years of professional experience as a Data Scientist, • Expertise in Operations Research and Mathematical Optimization Modeling., • Strong experience with Linear Programming (LP), Mixed-Integer Programming (MIP), and Network Optimization, • Strong experience in Python, • Expertise in optimization libraries and solvers such as CPLEX, Gurobi, OR-Tools, or similar tools. (Gurobi used in the current environment), • Proven track record of deploying models and data pipelines in cloud environments, preferably on GCP or other cloud platforms, • Exposure to using Git for version control and collaborative development, • Master's degree (Operations Research, Engineering, Mathematics, Statistics), • PhD in Quantitative Field (if not, then 4 years of professional work experience) PREFERRED SKILLS: • Demand forecasting experience (Time Series, ARIMA, etc.), • Strong experience in data visualization tools (e.g., Tableau, Looker Studio etc.) Must be authorized to work in the U.S./Sponsorships are not available.

Title: Marketing Data Engineer Location: Remote US Duration: 12 months Compensation: $60-80/hr Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. As a Data Engineer in the Marketing Analytics area you will have the opportunity to work across family of products. Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide. Responsibilities Work with the MarTech, Marketing Data Science and Data Ops teams, translating their needs into tangible analytical solutions to improve marketing efficacy by providing impactful insights through streamlined and automated reporting Design and Develop data models, pipelines, dashboards, and other analytic solutions to support Marketing programs and campaigns Solve data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources Collaborate with engineers, data scientists, program/product managers and marketers to understand data needs, representing key data insights in a meaningful way Conceptualize data architecture for large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems Implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues Produce clear, concise, accurate, and decision-ready analytical deliverables; independently validate all AI-assisted output for correctness, originality, and business relevance Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent 5+ years of experience where the primary responsibility involves working with data. This could include roles such as data engineer, data scientist, data infra, or similar positions 5+ years of experience with SQL, ETL, data modeling, data visualization and at least one programming language (Python is preferred) Preferred Qualifications: Experience building and maintaining data integrations with advertising and marketing technology platforms (e.g., Meta, Google Ads/DV360/CM360, TikTok, Salesforce), including collecting ads performance data via APIs, webhooks, or batch file imports, and managing data pipelines & and business intelligence solutions that support marketing measurement, reporting, and decision-making. Experience building and maintaining survey data infrastructure: collecting data from survey platforms (Qualtrics, Medallia, custom web apps) via APIs, webhooks, or batch imports, and designing flexible data models that support storage, transformation, and modeling of complex questionnaire responses About INSPYR Solutions Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about . INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other protected status. INSPYR Solutions complies with all applicable laws governing nondiscrimination in employment in every location in which the company has facilities. Applicants requiring reasonable accommodation during the application or interview process should contact for assistance. Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.

Shopmonkey has the structured data and workflows to support serious data science work, and you'll have the rare opportunity to help build the analytical and ML foundation from the ground up, shaping how data-driven decision making scales alongside a maturing platform and defining what the future of

As an AI Engineering team member, you will have the opportunity to leverage cutting-edge data science, machine learning and AI on petabytes of data in ways that make a large and lasting impact on the company. Your daily Impact as Data Scientist. Programming proficiency (preferably Python, its data s

About Sapio Sciences Sapio Sciences is on a mission to accelerate scientific drug discovery and high-throughput clinical and diagnostics for our clients and partners. The Sapio team consists of expert and highly collaborative scientists, software developers, and professionals passionate about providing a best-in-class lab informatics platform and industry-specific solutions. Sapio is one of the few software providers to offer a truly unified and highly configurable lab informatics platform and a broad suite of purpose-built solutions. The Sapio platform makes it easy for scientists, laboratory, and bio/informatics professionals to streamline and manage their end-to-end laboratory operations, from instrument data integration to workflow and experiment setup to sample and materials management, data management, and scientific data analysis and reporting. Working at Sapio At Sapio, we’re not just building lab informatics solutions. We’re creating tools made for the scientist and motivated to make the world a better place. We understand that lab informatics is about more than managing data or connecting workflows. It’s about making life easier for the scientist and making scientific progress faster for everyone. Our platform delivers the levels of configurability, usability and insight that scientists have only ever dreamed of. We’re a team of scientists, developers and innovators who question convention and stay focused on what matters most - advancing drug discovery science. We challenge the status quo and respond to the needs at the heart of science with powerful solutions that are simple to use, effortless to evolve and downright easy to love. As part of the Sapio team, you’ll work in a collaborative and forward-thinking environment where your ideas are valued, your growth matters and your work makes a difference. We’re proud to partner with leading labs around the world, from ambitious start-ups to global organisations, who trust Sapio to support discovery, development and diagnostics with industry-first science-aware solutions. Position Summary Sapio Sciences is looking for an experienced professional who can deliver strategic insights combined with an outcome-focused mindset, ensuring our customers feel guided, consulted, valued, understood, and empowered. Responsible for fostering strong relationships while creating new contacts, anticipating needs, and going above and beyond to provide exceptional experiences for each customer. Living the Sapio brand and becoming a trusted partner will guide all activities. It is also critical to ensure our customers realize the full potential of our solutions, supporting long-term value realization, and meeting strategic objectives. The CSM will work closely with customers and internal teams to proactively identify areas for improvement, helping drive growth and ongoing success. Remote (EST): Candidates must live and work within the US Eastern Time Zone. Key Responsibilities: Customer Relationship Management • Ability to assist customers and understand the scientific language of ELN/LIMS and AI, • Provide customer consultation on best practice related to data management, laboratory execution and AI exploration and adoption Drive usage, time to value, and user adoption while developing and tracking KPIs to measure Customer Health and report accurately to the management team • Cultivate and maintain strong, trusting relationships with customers through regular, personalized communication and support including QBRs, • Develop and identify new opportunities for Sapio to deliver value to clients aligned with existing and emerging solutions, • Work in partnership with Commercial team to develop Account Plans, action plans and messaging in order to align activities across the customer life cycle that align with client strategic goals and business initiatives, • Actively listen to customer needs and concerns, displaying empathy and a solution-oriented approach in every interaction, • Serve as the customer’s advocate internally, collaborating with other departments to ensure their voice is heard and their needs are met, • Track and report on customer success metrics and KPIs to inform strategic improvements Onboarding and Orientation • Guide new customers through a welcoming onboarding process, focusing on clear, friendly, and supportive communications to ensure they feel confident with our products/services, • Support new customer onboarding by ensuring pre-partnership expectation and goals are effectively transferred to the post-sale team and reflected in Sapio deployment plans, • Develop and implement onboarding materials for the Sapio partnership Customer Support and Issue Resolution • Proactively monitor customer accounts to identify any challenges they may be experiencing and offer empathetic, proactive solutions, • Develop and execute customer success plans to drive adoption, satisfaction, and retention, • Maintain close customer communication, gathering feedback at key milestones and sharing insights with internal teams, • Conduct milestone surveys to track satisfaction, guiding customers through each stage from implementation to post-go live, • Monitor customer health metrics to proactively identify and address potential risks, • Resolve customer issues promptly with a calming, solution-driven approach that minimizes customer stress and frustration, • Anticipate needs and provide tailored support, ensuring each customer feels respected and valued Customer Education and Advocacy • Coordinate with internal teams, customer workshops, webinars, and check-ins, aimed at educating customers on product features, best practices, and tips that can maximize their success, • Actively pursue contact expansion increasing our network inside the account with a focus on altitude elevation and horizontal expansion with the goal of finding new opportunities to solve the client’s most important problems, • Be a customer advocate internally, highlighting areas where customer experience can be improved and advocating for changes with a focus on empathy and understanding, • Strive for 100% referenceable customer base Hospitality-Driven Engagement • Design and implement customer touchpoints with a hospitality mindset, ensuring every interaction feels personable, attentive, and helpful, • Take a concierge-style approach to customer needs, going above and beyond in helping them access the resources, training, or support they need to thrive Desired Education/Experience: • Bachelor’s degree in Bioinformatics/ Laboratory informatics, Information technology with scientific applications, Life Sciences, Scientific computing or Data Management, Hospitality, Communications or Public Relations or a related field, • Experience in Customer Success in Life Sciences: Prior experience (10+ yrs) in customer success or account management-related roles in scientific software industries Required Skills & Abilities: • Empathetic Communication Skills: Strong interpersonal skills with a focus on empathy, patience, and understanding, • Problem-Solving Skills: Ability to anticipate challenges and provide creative, customer-centered solutions, • Organizational Skills: Strong organization and multitasking abilities to manage multiple customers’ needs and schedules effectively, • Team-Oriented Mindset: Collaborative spirit, with a genuine desire to work closely with team members to enhance customer satisfaction, • Proficiency with CRM and customer success tools, with experience in survey data analysis as a plus, • Global travel to client sites The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Our People At Sapio Sciences, our people are at the heart of everything we do. Our lab informatics solutions are powered not just by technology, but by a shared commitment to our core values—what we proudly call The Sapio Seven, aka EMBRACE: • Embrace the future • Make a difference • Be true partners • Remember why we’re here • Act with empathy • Commit to transparency • Excel in quality These values shape how we work, how we grow, and how we deliver impact for our clients every day. Reasonable Adjustments We are committed to ensuring an inclusive and accessible recruitment process. If you require any reasonable adjustments, at any stage across the application, interview & assessment processes then please let us know. We will work with you to support your needs in confidence. Diversity, Equity & Inclusion We do not discriminate based on race, colour, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other status protected by law or regulation. We intend that all qualified applicants be given equal opportunity and that selection decisions are based on job-related factors. We are committed to creating a diverse and inclusive workplace and encourage applications from all qualified individuals. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Sapio Sciences Sapio Sciences is on a mission to accelerate scientific drug discovery and high-throughput clinical and diagnostics for our clients and partners. The Sapio team consists of expert and highly collaborative scientists, software developers, and professionals passionate about providing a best-in-class lab informatics platform and industry-specific solutions. Sapio is one of the few software providers to offer a truly unified and highly configurable lab informatics platform and a broad suite of purpose-built solutions. The Sapio platform makes it easy for scientists, laboratory, and bio/informatics professionals to streamline and manage their end-to-end laboratory operations, from instrument data integration to workflow and experiment setup to sample and materials management, data management, and scientific data analysis and reporting. Working at Sapio At Sapio, we’re not just building lab informatics solutions. We’re creating tools made for the scientist and motivated to make the world a better place. We understand that lab informatics is about more than managing data or connecting workflows. It’s about making life easier for the scientist and making scientific progress faster for everyone. Our platform delivers the levels of configurability, usability and insight that scientists have only ever dreamed of. We’re a team of scientists, developers and innovators who question convention and stay focused on what matters most - advancing drug discovery science. We challenge the status quo and respond to the needs at the heart of science with powerful solutions that are simple to use, effortless to evolve and downright easy to love. As part of the Sapio team, you’ll work in a collaborative and forward-thinking environment where your ideas are valued, your growth matters and your work makes a difference. We’re proud to partner with leading labs around the world, from ambitious start-ups to global organisations, who trust Sapio to support discovery, development and diagnostics with industry-first science-aware solutions. About the Role This is not a traditional inward-facing product manager role. This is an externally oriented, product marketing-biased position at the intersection of product strategy, customer engagement, and commercial execution. The right candidate will be as comfortable in front of a prospective customer or at an industry conference as they are working through a product roadmap with internal stakeholders. As Senior Product Manager, you will be the outward voice of the Sapio platform. You will own the narrative around how our products solve real scientific and operational challenges, translating deep domain knowledge of ELN, LIMS, and CMC workflows into compelling demonstrations, positioning, and messaging that resonates with buyers, users, and partners. You will report directly into our VP of Product, and work in close collaboration with the executive leadership team, including our CEO. You will operate as a senior and trusted voice, capable of engaging confidently at the executive level — both internally and with our most strategic customers. Working Location This is a remote-first role. We are open to candidates based in the US (East Coast preferred) or the UK. There is an expectation to travel periodically — to meet with the leadership team, to join key customer engagements, and to represent Sapio at industry events. Our teams are spread across the US and the UK, with offices in York, PA, Fort Lauderdale, and London. Essential Responsibilities • Own the outward-facing product narrative — developing positioning, messaging frameworks, and demo strategies that clearly articulate the value of Sapio’s platform across ELN, LIMS, and CMC workflows., • Lead and deliver high-impact solution presentations to prospective customers, partners, and at industry events, tailoring content to audience — from bench scientists to C-suite executives., • Act as a strategic bridge between development, marketing, and sales — ensuring go-to-market activity is grounded in product reality and customer insight., • Develop deep domain expertise across CMC (Chemistry, Manufacturing and Controls), with a strong understanding of biologics and the broader life sciences landscape, to credibly engage with scientific and regulatory stakeholders., • Partner closely with the Head of Product and executive leadership team to align external messaging with product direction and company strategy., • Represent the voice of the customer internally — synthesising feedback from demos, customer conversations, and market signals into actionable product and positioning insights., • Collaborate with sales on RFP responses, proof-of-concept engagements, and strategic account support where product expertise and demonstration capability are required., • Lead product marketing efforts, partnering with the marketing team on content development, conference presentations, webinars, and customer advisory board preparation., • Engage regularly with the executive leadership team and CEO, providing clear, confident, and commercially aware perspectives on market positioning and customer feedback. Required Skills & Experience • Proven experience in a product management or product marketing role within a life sciences software company, with a clear external and customer-facing orientation., • Deep knowledge of ELN and LIMS products — you must be able to speak credibly about these platforms with scientists, lab managers, and IT stakeholders., • Solid understanding of CMC processes, with experience in or exposure to biologics and the biotech/pharma development pipeline strongly preferred., • A strong product marketing mindset — you understand how to translate complex functionality into compelling value propositions and customer stories., • Demonstrated experience managing and influencing senior stakeholders, including executive leaders. You are comfortable in the room with a CEO and bring presence, preparation, and commercial acumen., • Track record of delivering high-quality product demonstrations that move deals forward and build customer confidence., • Experience operating across scale-up and/or corporate environments — you can navigate both the pace of a growing company and the complexity of large enterprise accounts., • Excellent communication and presentation skills — written, verbal, and visual. You can simplify the complex and make it land., • Strong commercial awareness and ability to align product activity to business outcomes. Required Skills & Abilities • Customer-first mindset — naturally curious about how scientists and laboratory professionals work, and motivated by solving their real problems., • Confident and credible communicator at all levels, from bench scientists to C-suite; equally effective in one-to-one conversations and large group settings., • Able to manage competing priorities across product, sales, and marketing workstreams without losing quality or focus., • Self-starter who thrives in environments with autonomy — you set your own pace and hold yourself to a high standard., • Collaborative and inclusive in how you work with colleagues across geographies and functions., • Adaptable and comfortable with ambiguity — you can operate effectively as strategy evolves., • High integrity and accountability; you follow through on commitments and are transparent about progress and challenges., • Strong attention to detail in customer-facing materials and communications. Preferred Experience • Background in biologics, CDMOs, or pharmaceutical development organisations, with hands-on familiarity with how CMC data is generated, managed, and reviewed., • Experience in a dual product management / product marketing function, or close collaboration between the two., • Familiarity with the regulatory and quality context in which ELN and LIMS platforms operate (e.g. 21 CFR Part 11, GxP environments)., • Prior experience in a scale-up or Series B/C-stage software business, where you have built processes and collateral from the ground up., • Exposure to scientific data management platforms, informatics, or adjacent software categories., • Experience presenting at industry conferences, user groups, or customer advisory boards. What We Offer At Sapio Sciences, we recognise that our people are our greatest strength. That’s why we’re proud to offer: • A competitive salary and benefits package, • Flexibility to work remotely, with opportunities to travel, • A comprehensive onboarding and training programme, • Ongoing opportunities for professional growth and development, • A collaborative, inclusive and supportive work environment Our People At Sapio Sciences, our people are at the heart of everything we do. Our lab informatics solutions are powered not just by technology, but by a shared commitment to our core values—what we proudly call The Sapio Seven, aka EMBRACE: • Embrace the future • Make a difference • Be true partners • Remember why we’re here • Act with empathy • Commit to transparency • Excel in quality These values shape how we work, how we grow, and how we deliver impact for our clients every day. Reasonable Adjustments We are committed to ensuring an inclusive and accessible recruitment process. If you require any reasonable adjustments, at any stage across the application, interview & assessment processes then please let us know. We will work with you to support your needs in confidence. Diversity, Equity & Inclusion We do not discriminate based on race, colour, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other status protected by law or regulation. We intend that all qualified applicants be given equal opportunity and that selection decisions are based on job-related factors. We are committed to creating a diverse and inclusive workplace and encourage applications from all qualified individuals. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Data Scientists and Quantitative Professionals.You’ll evaluate AI model performance across statistics, machine learning, experimentation, and quantitative reasoning to help improve model accuracy and analytical capabilities.Evaluate AI-generated outputs involving.Create challenging prompts, datase

Applied Scientist (Remote | $245–$280/hr) Position: Applied Scientist Type: Contractor Compensation: $245–$280 per hour Location: Remote About the Opportunity An AI-focused project is seeking Applied Scientists to contribute expertise in advanced analytics, experimentation, statistics, and machine learning. Contractors will help improve next-generation AI systems by evaluating model outputs, developing high-quality datasets, and providing expert feedback. Prior AI experience is not required. Key Responsibilities • Design and execute statistical analyses to uncover insights from complex datasets., • Develop, validate, and evaluate machine learning models for business and research objectives., • Apply data modeling techniques and manage data transformations using Python and Pandas., • Collaborate with stakeholders to establish experimentation frameworks and analyze outcomes., • Document methodologies, findings, and recommendations clearly and accurately., • Review peer contributions and provide constructive technical feedback., • Deliver reproducible code and organized analytical reports., • Evaluate AI model outputs involving statistics, machine learning, experimentation, and quantitative reasoning., • Create expert-level prompts, datasets, and reference solutions., • Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning., • Provide structured feedback to improve AI model performance. Required Qualifications • Strong proficiency in Python and data analysis., • Knowledge of machine learning, statistics, experimentation, and data modeling., • Experience with Pandas and related data science tools., • Strong analytical, problem-solving, and quantitative reasoning skills., • Excellent written and verbal communication skills. Preferred Qualifications • At least one year of experience at a leading company in technology, finance, or research., • Proficiency with Python libraries such as Pandas and scikit-learn., • Demonstrated experience in applied statistics, experimental design, and machine learning., • Experience developing, tuning, and evaluating machine learning models., • Ability to work with structured and unstructured data., • Experience collaborating on cross-functional or open data science projects., • Advanced academic background or practical experience in data science, applied mathematics, or a related field. Compensation • Hourly compensation of $245–$280., • Remote, contractor-based engagement. Application Process The application process was not specified in the provided listing.

We're looking for a Junior Data Scientist to join a growing analytics team focused on building data-driven solutions and improving business performance through modern technologies. Understanding of cloud-based analytics or modern data platforms (AWS, GCP, Azure). Collaborate with technical and non-t

Bachelor’s degree in Data Science, Analytics, Computer Science, Statistics, or a related field.

Description Remote Our client seeks a Principal Data Scientist to scale Data Science and AI capabilities for end-to-end payment optimization. The role will collaborate with ML engineers and product partners to design and deploy real-time models and intelligent decision engines, drive strategy and roadmaps, lead cross-functional initiatives, and mentor senior data science talent. The position balances strategic leadership with hands-on contribution across architecture, design reviews, code reviews, and select implementation to deliver production-grade ML solutions. This is a contract to hire opportunity. Applicants must be willing and able to work on a w2 basis and convert to FTE following contract duration. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $85.00 to $95.00/hr. w2 Responsibilities • Define technical vision and strategy for data-driven product initiatives focused on payment optimization, aligned to business goals., • Develop scalable and reusable capabilities for real-time ML models including classification, ranking, optimization, rapid experimentation, and continuous monitoring., • Oversee and contribute to conceptualization, development, deployment, operation, validation, and maintenance of ML models and update systems., • Establish and enforce best practices for ML modeling while evaluating and adopting modern tools, frameworks, and infrastructure., • Foster a culture of innovation, experimentation, and collaboration while mentoring an elite team of data scientists., • Partner with product, engineering, data, and compliance teams to integrate ML into products and communicate complex concepts to varied audiences., • Collaborate with Data Science leaders to establish an operating model for ML R&D that optimizes end-to-end delivery of business value. Experience Requirements • Bachelor’s or master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field. PhD preferred., • 7+ years in ML research or engineering with 5+ years building large-scale, real-time ML systems in production, including hands-on experience., • Expertise in machine learning, statistical modeling, and data analysis with strong experience across the ML lifecycle and experimentation., • Proficiency in Python (Pandas, NumPy, scikit-learn) and strong SQL experience. NoSQL or graph databases are a plus., • Demonstrated ability to lead solution design and execution, translating complex business requirements into actionable technology solutions., • Exceptional communication skills with the ability to influence and collaborate across technical and business audiences, including executives., • Bonus: Experience in payments, fintech, or financial services. Knowledge of payment systems such as authorization lifecycle, tokenization, fraud and risk, and real-time payments. Experience with cloud platforms including AWS, GCP, Snowflake, Databricks, or Vertex AI. Agile development experience. Background in large companies, mature ML teams, or regulated industries. Education Requirements • Bachelor’s or master’s degree in a relevant field. PhD preferred.

About Brillio: Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year. Principal Data Scientist Job requirements • Experience Range: 15 - 18 years of experience in advanced data science roles, with extensive leadership in designing and deploying statistical and machine learning solutions Key Responsibilities: • Design and implement robust statistical models and machine learning algorithms for large-scale data analysis and predictive analytics, • Lead end-to-end development of data science projects, including hypothesis testing, regression analysis, classification, and forecasting, • Collaborate with cross-functional teams to define business requirements, translate them into analytical solutions, and drive measurable impact, • Optimize and automate data pipelines using Python, PySpark, and R, ensuring efficient data processing and feature engineering, • Develop, validate, and maintain probabilistic graph models and advanced statistical computing frameworks, • Utilize industry-leading ML frameworks such as TensorFlow, PyTorch, and Sci-Kit Learn to build, train, and deploy models, • Establish rigorous model evaluation and monitoring processes using tools like Great Expectations and Evidently AI, • Mentor and guide junior data scientists, fostering technical excellence and continuous learning within the team Required Skills: • Expertise in hypothesis testing, including T-Test and Z-Test methodologies, • Advanced proficiency in regression techniques (linear and logistic), • Strong programming skills in Python, PySpark, and R/R Studio, • Hands-on experience with SAS and SPSS for statistical analysis and computing, • In-depth knowledge of probabilistic graph models, • Experience with forecasting methods such as Exponential Smoothing, ARIMA, and ARIMAX, • Practical use of classification algorithms including Decision Trees and Support Vector Machines (SVM), • Proficiency with ML frameworks: TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet, • Familiarity with distance metrics (Hamming, Euclidean, Manhattan), • Working knowledge of Kubeflow and BentoML for model deployment and orchestration Preferred Skills: • Experience implementing advanced model monitoring with Evidently AI, • Expertise in data pipeline automation and orchestration using Kubeflow, • Knowledge of emerging ML frameworks and architectures, • Experience with large-scale distributed computing environments, • Strong background in statistical validation and reproducibility best practices Desired Qualifications: • Master’s or PhD degree in Data Science, Statistics, Computer Science, Mathematics, or a related field, • Relevant certifications in machine learning, statistical analysis, or advanced data science Know more about Data and AI: https://www.brillio.com/services-data-analytics/ Know what it’s like to work and grow at Brillio: https://www.brillio.com/join-us/ Equal Employment Opportunity Declaration Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation. Know what it’s like to work and grow at Brillio: Click here

Principal Data Scientist, Quantitative Intelligence (Consumer Transaction Data). They’re hiring a Principal Data Scientist to be the hands-on technical lead for the team that turns this data into statistical methods and machine learning models. ML Scientist, Statistical Modeling, Predictive Modeli

St. Jude Children's Research Hospital is seeking a MD or DO neuroradiologist for an available full-time faculty position in the Department of Radiology. St. Jude invites applications for a full-time faculty position in the Department of Radiology an ABR-certified or eligible radiologist with subspecialty training in Neuroradiology. The ideal candidate will be a clinician scientist whose career goals include both outstanding clinical service in neuro-oncologic imaging and innovative research that advances the field of neuro-oncologic and catastrophic disease imaging. A commitment to education is also highly valued and expected. Academic rank will be commensurate with experience and qualifications. Our Mission and Vision: The mission of St. Jude Radiology is to advance cures and understanding of pediatric cancer and catastrophic diseases through excellence in radiology research, innovation, clinical practice, education, and administration. Our vision is to lead the world in radiology for pediatric cancer and catastrophic diseases. Department Overview: The department is composed of seven sections: Neuroradiology, Body Radiology, Interventional Radiology, Nuclear Medicine, Intelligent Imaging Informatics (I3), Research, and Physics. The Neuroradiology section focuses primarily on pediatric neuro-oncologic imaging and also serves cancer survivor research participants and patients with hematologic, infectious, and rare neurologic diseases. Many of our patients are on clinical trials, providing rich opportunities for collaboration and for developing and validating imaging biomarkers and endpoints. Clinician Scientists: Clinician scientists at St. Jude are provided with exceptional support to build and sustain productive academic careers. Faculty on this track receive dedicated research time, typically 50% of their effort, along with full-time research staff (one, two, or three dedicated and permanent staff members for assistant, associate, and full members, respectively). Each clinician scientist is provided with a recurring research cost center (budget) that is renewed annually in perpetuity. In addition, faculty may receive a startup package (e.g., equipment or laboratory purchases) to launch their research lab. These resources are complemented by robust institutional support, including access to biostatistics, image processing, data science, software engineering, and grant-writing expertise. Clinician scientists are expected to obtain extramural funding, and our infrastructure is specifically designed to foster success in this area through mentorship, collaboration, and technical and administrative assistance. Clinical: Clinical responsibilities are manageable and designed to complement academic pursuits. The Neuroradiology reading room is staffed by two radiologists on weekdays, with light call on evenings and weekends, taken from home and consisting mainly of peer review of teleradiology cases. There is no trauma or emergency room coverage. The section supports a tumor metrics (response evaluation) lab and receives assistance from three physicists who provide expertise in MRI and CT. Neuroradiologists interpret predominantly MRI exams and some CT exams. We utilize the latest imaging technologies, including four state-of-the-art MRI systems (a fifth planned for 2026) and a photon-counting CT scanner coming online in early 2026. For those with an interest in nuclear medicine, we have a dedicated cyclotron and an extended field-of-view PET/CT scanner, the first installed in a dedicated pediatric hospital in North America. Artificial Intelligence: The department is deeply engaged in advancing artificial intelligence (AI) and quantitative imaging to improve both patient care and research. Some clinician scientists are also members of Intelligent Imaging Informatics (I3), an expanding section that harnesses the power of imaging informatics and AI to accelerate research, clinical care, and translational efforts in pediatric radiology, advancing the St. Jude Mission. The Image Quantification and Artificial Intelligence (IQAI) Co-Laboratory is a dedicated research and development team for biomedical informatics and AI. This interdisciplinary team serves the Department of Radiology by building and maintaining the advanced data infrastructure that fuels faculty-led research, performing collaborative projects with clinicians and scientists and conducting core biomedical informatics research. The IQAI team recently developed a Radiology Data Center (RDC) for data science that supports de-identified radiologic and pathology data, electronic medical records, and other institutional datasets. Research: Research is at the core of the St. Jude mission, and the Department of Radiology offers an extraordinary ecosystem for investigator-initiated science. Faculty benefit from access to IQAI and the Radiology Data Center for data science and quantitative imaging research, as well as support from dedicated staff for grant writing, IRB management, clinical research coordinators, image processing, and biostatistics. Faculty are encouraged to pursue both independent and collaborative projects that leverage the department's integration with research programs in Molecular Imaging, Oncology, Surgery, Pathology, Data Science, Imaging Sciences, and St. Jude Global. Opportunities exist to develop novel imaging biomarkers and AI tools that impact patient care, clinical trials, population science, and research. In addition to internal institutional funding opportunities, faculty are supported through mentorship and infrastructure aimed at securing extramural grants from agencies such as the NIH, foundations, and industry partners. This environment provides a powerful foundation for faculty to pursue transformative imaging research that directly impacts patient care, clinical trials, and global pediatric initiatives. Education: Education is an important component of our mission. Faculty have the opportunity to teach and mentor radiology fellows, radiology residents, medical students, graduate students, and postdoctoral fellows. St. Jude supports professional development by providing travel funds for faculty presentations at national and international conferences. The department hosts an annual international educational conference and a separate scientific symposium. In October 2025, we hosted the Pediatric Neuro-Oncologic Imaging Educational Course. In February 2026, St. Jude will co-host a Pediatric Oncologic Imaging Course with the Society for Pediatric Radiology (SPR), including a session for neuro-oncologic imaging. Faculty actively participate in institutional and national educational initiatives. Compensation and Environment: St. Jude offers competitive compensation determined by faculty rank and fair market value, as well as comprehensive benefits and programs that support wellness, worklife balance, and career growth. The department fosters a culture of impact, excellence, collaboration, innovation, and mutual respect, where faculty elevate one another to achieve their maximum potential. St. Jude is an Equal Opportunity Employer. St. Jude does not discriminate on the basis of race, national origin, sex, genetic information, age, religion, disability, sexual orientation, gender identity, transgender status, veteran's status or disabled veteran's status with respect to employment opportunities. All qualified applicants will be considered for employment. We value different perspectives and intellectual discourse. We are committed to building an intellectually diverse community. Requirements: Candidates must have an MD, DO or equivalent degree, be board certified or eligible by the American Board of Radiology and have experience in pediatric neuroradiology. Applicants must qualify for medical licensure in the State of Tennessee. To apply: Interested candidates should submit a CV directly online. For more information: Andrew Smith, MD PhD Member and Chair Endowed Chair of Diagnostic Imaging Department of Radiology St. Jude Children's Research Hospital andrew.smith@stjude.org

Working closely with Marketing, Product, Finance, and Technology, the Senior Data Scientist transforms complex data into actionable insights that improve business performance in a highly competitive telecommunications environment. The Senior Data Scientist, Advanced Analytics, develops machine learn

You’ll join our Data team, report to our Head of Data, and help shape how data science is used across the company. Skool is hiring its first ever Data Scientist. You are strong at data analysis and tool-agnostic.

Verasight was founded by and for academic researchers. We are building the future of survey research with unparalleled data quality and a re-imagined survey respondent experience. Our team recognizes the importance of high-quality data for our customers to make key decisions that affect academic research, national policy, the direction of Fortune 500 companies, and the public conversation. We are looking for a Data Engineer to build the tools and data infrastructure behind our survey research. We are a scrappy team, and you will work directly with our data science team to build Verasight and to expand access to high-quality survey data. This role reports to the VP of Data Science. We depend on colleagues who are diverse, team-oriented, novel thinkers, and passionate about redefining the survey research landscape. Verasight works to create a welcoming community in which all individuals are respected and included. Does this position sound like a good fit? In addition to applying on LinkedIn, email us at • Include this role's title in your subject line (it'll help us to sort through the emails), • Include your CV/Resume, a one-paragraph statement of interest, and a link to your GitHub profile (if available) Meet the Verasight team here: https://www.youtube.com/watch?v=WC3Zx3TKZzc About the Role Our data scientists field surveys, clean and weight data, monitor panel quality, and deliver results to clients. Much of the tooling that makes that work fast and trustworthy includes R packages for reporting, pipelines for survey fielding and recruitment, cost and margin tracking, panel quality monitoring, and AI-assisted tools that turn questionnaires into live surveys. You will help own and extend that tooling. Your customers are our data scientists. Your job is to understand how they work well enough to build tools that make their work faster, more reliable, and easier to audit. You'll see the whole system end to end and ship right-sized solutions. Responsibilities • Build and maintain internal tools, packages, and pipelines (largely R and Python) that remove bottlenecks from survey fielding, data cleaning, weighting, reporting, and panel monitoring, • Work alongside data scientists on live projects to learn their workflows before automating them, so the tools fit how people actually work, • Respond quickly when a data scientist hits a wall; you'll often be the first call, • Scope problems well: decide whether a need calls for a script, a package, a scheduled job, a service, or nothing at all, • Use AI coding and analysis tools as a real part of your workflow, verify what they produce, and help shape what responsible AI use looks like at Verasight, • Partner with Verasight leadership on where our data infrastructure should go, solving today's problems in ways that help us move into the future. Required Qualifications • 2+ years writing code that other people depend on, in Python or R, and willingness to work in the other, • Comfort with SQL and relational databases, • Working fluency with Git, GitHub, and code review, • Some experience with cloud services or managed platforms (we use AWS, Supabase, Railway, and Vercel, among others); we care more that you can learn a platform and less about the specific stack you’re most comfortable with today, • Sound security instincts: you keep secrets out of code, think about who can access what, and handle sensitive data carefully, • Hands-on experience using AI tools to write or review code, and informed opinions about where they help and where they don't, • Excellent written communication, including clear READMEs and short design notes, • Willingness to operate independently and desire to constantly innovate, • Commitment to working in an inclusive environment, • Preferred: experience with survey data or Qualtrics, R package development, CI/CD (GitHub Actions), containers or infrastructure-as-code, scheduled data pipelines, familiarity with survey methodology (weighting, sampling, data quality checks) We don't require a computer science degree, experience at a large tech company, or years on a specific big-data stack. If this sounds like you and you're unsure about a bullet, apply anyway. Benefits • Competitive salary based on experience, • 401(k) with company matching, • Health insurance, • Gain experience working directly with government agencies, nonprofits, academic researchers, and corporations, • Remote work About Us Founded by Peter Enns (Cornell Professor of Government & Public Policy) and Ben Leff (Stanford GSB and ex. Goldman Sachs), Verasight was built by and for academic researchers. Our customers include national media organizations, Fortune 500 companies, national and state government agencies, investors, brands, and researchers. We are looking for bold leaders to join our team to re-invent what it means to collect and analyze survey data.

Company DescriptionSonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services.Job DescriptionRequired Skills:Overall Responsibilities:• 10 to 15 years of experience with PhD or MS. • Hands on experience on machine learning algorithms (Neural Networks, Support Vector Machines, Random Forest, logistic regression, clustering, classification, Naive Bayes, association rules, Collaborative Filtering, recommendation techniques, pattern recognition etc.) Qualifications• Strong experience in Text Mining, NLP – Natural Language Processing • Hands on experience on model development lifecycle • Strong hands on experience on R, Python, IBM SPSS • Excellent communication skills and ability to express the statistical model output properly to senior management • Logistics experience desired – shipment processing • Cognitive computing desirable Additional Information** U.S. citizens and those who are authorized to work independently in the United States are encourage to apply. We are unable to sponsor at this time.Note:-This is a Contract job opportunity.Only US Citizen, Green Card Holder, GC-EAD, H4-EAD, L2-EAD, H1B and TN Visacan apply.No OPT-EAD candidates please.Please mention your Immigration Status while applying .All your information will be kept confidential according to EEO guidelines.SummaryType: Full-timeFunction: Information TechnologyExperience level: AssociateIndustry: Information Technology And Services

Jude Children's Research Hospital is seeking a Senior Computational Research Scientist to study gene dysregulation and genome organization in pediatric cancers. The Abraham Lab collaborates across institutions to develop software for high-throughput sequencing data and to understand regulatory circu

We are seeking a creative and collaborative data scientist to lead a vibrant research program at the intersection of data science and clinical/biological sciences. Successful applicants must hold a PhD or equivalent degree in the field of data science, have at least three years of relevant postgradu

Perform deep EDA, data profiling, and quality audits to ensure model-ready data standards. Data Analysis & Pipeline Ownership. Identify, collect, clean, validate, and transform all data required for prediction model consumption.

We are looking for a Senior Data Scientist to join Safety Enforcement Data Science. Safety & Mods Data Science operates as a closed-loop system: Safety Insights helps the organization understand, measure, and prioritize risk, while Safety Enforcement Data Science builds and optimizes the models, rul

Leadership in data science: experience leading cross-functional teams of data scientists, data engineers, and data or cost analysts, and defining a data strategy aligned to organizational goals. Knowledge and experience performing cost estimating and analysis on major defense systems, including typi

We need a Data Scientist with a proven track record of translating data into insight and action. People Analytics & Research is a strong team of Data Scientists, Data Engineers, and Analysts. Experience applying data science to compensation, recruiting, or broader workforce and organizational questi

We're hiring a Remote Data Scientist for a fast-growing, well-funded fintech company. This is a hands-on, non-client-facing seat on a small data team - you'll apply Python, SQL, and applied statistics/ML to real product and risk questions, working closely with engineers and analysts, and presenting

This role will work across both Data Science and Data Engineering, with a focus on analyzing operational data, developing performance benchmarks, maintaining dashboards, and troubleshooting vendor-facing data challenges. Data Science, Data Analytics, Analytics Engineering, Data Engineering, or a rel

We are seeking a Data Scientist to develop and evaluate AI solutions for legal content workflows. Our client, a major legal company, is actively looking for a Senior Data Scientist to join their team! This is a fully remote position, however candidates must be located in the US and able to work EST

Data Scientist | AI & Machine Learning. Position: Data Scientist | AI & ML Analyst. Data Scientist | AI & Machine Learning.

We are seeking an experienced AI Data Scientist to join Deltek’s growing AI Center of Excellence team to design, build, evaluate, and optimize enterprise AI solutions leveraging Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), multimodal AI, Opensource AI Models, and

Basic understanding of production data/ML concepts, including pipelines, data quality, reproducibility, versioning, deployment, and monitoring. You will work as a forward deployed data scientist: embedded with enterprise clients, turning ambiguous business problems into working analytical and AI sol

You lead the data science side end to end: requirements, feature definitions, the data contract with PC's team, validation of what comes back, monitoring, and cutover. It also frees the data scientist who built the system for other work, so the hire must run with little handholding after a roughly 6

We are seeking a Data Scientist, Associate to build RoboStrategy’s data capability from the ground up. Bring together shareholder records, 13F filings, DTC position reports and allocator databases into a single view connected to our CRM, and use it to score, segment and prioritize investors, handl

As Scientist / Lead, Translational Data Platforms, you will play a pivotal role in shaping how researchers interact with complex clinical and multi-omic datasets, influencing platform strategy, developing innovative analytical capabilities, and helping build technologies that enable the next generat

ML Scientist, Statistical Modeling, Predictive Modeling, Paneling, Normalization, Cohorting, Causal Inference, Synthetic Control, Uplift Modeling, Transaction Data, Behavioral Modeling, Forecasting, Representation Learning, Privacy Preserving ML, Cleanrooms, Production ML Pipelines. Principal Data S

None Epic's Clarity & Caboodle Data Model Certifications Certifications in the Databricks platform demonstrating the ability to source data, assess and improve data quality, combine/integrate data, analyze data, and implement data science models None Databricks' Data Analyst Associate, Data Engineer

Outlier Experts work on a variety of projects, from generating training data to evaluating the performance of models. Additional incentives data is based on payments made in the past six months and is updated quarterly.

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25/hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You do

Outlier Experts work on a variety of projects, from generating training data to evaluating the performance of models. Additional incentives data is based on payments made in the past six months and is updated quarterly.

Data-focused projects and cloud migration programs. Exposure to data engineering or analytics initiatives. Data-focused projects and cloud migration programs.

CBRE | DIRECTLINE, a CBRE Data Center Solutions business, is a leading technology infrastructure services provider enabling mission critical data center infrastructure for the world’s technology leaders. Catering to a broad spectrum of technology and client requirements, 1200+ skilled technicians

Project Manager | Industrial Automation.The Forum Group is partnering with an established industrial automation company to hire a Project Manager in the Greater Nashville area.This person will oversee equipment projects from initial planning through installation, keeping customers, engineering, and

Electrical Estimator/Project Manager.We’ve grown over the past 30 years to 140+ strong by earning a reputation for doing things the right way and despite becoming a sizeable electrical contractor, we’ve intentionally kept a family-oriented culture where you’ll never feel like a number.Today we

APIs, system integrations, data validation, and upstream/downstream data flows. Familiarity with Product Information Management (PIM), Master Data Management (MDM), SKU lifecycle management, or vendor onboarding. Additional factors considered in extending an offer include (but are not limited to) re

Provide day-to-day data center operational support.

Project Manager – Asphalt & Concrete.For 50 years, Byrne & Jones Construction has been a trusted leader across the Midwest, specializing in asphalt, concrete, sports facilities, microsurfacing, stabilization, park development, and design.Founded on the principles of integrity, quality, and excelle