Trabajos data scientist en East Elmhurst, NY - Page 3Crear alertas

Experience in customer-facing roles communicating data science requirements and gathering specs from end users. NLP or data-science to clinical (or similarly complex) text.

Data Scientist (Python) - Minimum 5 years of experience is required.Candidates must be authorized to work in the United States full-time.Who You Are: You are a mid-level data scientist with 3+ years of experience in Python.You have expertise in machine learning and data analysis.Develop and implemen

Aircall is a place where voices are valued.Backed by over $220 million of investment since 2015, we create technology that fuels accessible, transparent and collaborative communication to empower our base of 20,000+ customers (and growing) to make authentic, human connections.Conversation is a corne

BGB is a healthcare communications agency that offers a wide range of services, including traditional pharmaceutical advertising, promotional medical education, payer marketing, and consulting services.Known for excellence and professionalism, we’re hired as strategic and creative partners by our

Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market decisions in an increasingly competitive market. Curinos operates in a hybrid/remote model, and this position is fully remote in the United States or hybrid in the Greater New York, Boston or Chicago metropolitan areas. We’re looking for an experienced applied data scientist to join our Data Science & Machine Learning Team focused on the application of data science, machine learning and AI approaches to understanding banking customer behavior and optimizing engagement marketing through our FinTech product platforms! You’re passionate about finding patterns, trends, and opportunities that can enable a better consumer banking experience, curious about what is driving KPIs and customer outcomes, and insightful in your analytical approach. You thoughtfully bring data science-based insights into the conversation about our customers and pursue improvements proactively, while building on shared cross-functional knowledge and expertise. As a Senior Data Scientist, you are an influencer who can up-level the pursuit and impact of applied data science at Curinos, helping formulate and implement company-wide best practices. Responsibilities: • Combine data sources and apply multiple data and algorithmic approaches to create a clear, cohesive, static and temporal picture of banking customers, actionable for both humans and algorithms., • Collaborate with business partners to develop meaningful segments to target and optimize consumer interactions based on shared preferences and behaviors., • Partner with our machine learning engineers to refine and extend our Reinforcement Learning-based marketing optimization capabilities., • Create well-organized datasets and data processing, algorithm implementations and recommended visualizations that can support implementation in our platform software and documentation, feature and functionality descriptions and customer engagement as needed Desired Skills & Expertise: • You have 5+ years experience and a demonstrable track record of delivering applied machine learning or data science capabilities in consumer-facing and/or enterprise applications., • You have independently prototyped, optimized, validated, managed, operated and updated machine learning and statistical models., • You can demonstrate knowledge of statistical inference, experiment design, probability, sampling methodologies, regression, classification, clustering, data mining, time series analysis, causal inference analysis, neural networks and deep learning techniques. Experience in reinforcement learning and multi-armed bandit applications is highly preferred., • You have a strong working knowledge of Python-based machine learning frameworks and the data and computation management mechanisms that surround them in a cloud setting., • You have exceptional communication skills that can be delivered in the context of your audience from deep science to business decision-makers., • You possess strong interpersonal skills and an ability to influence others around you towards data-driven business goals., • You can quickly pivot and act with agility as dictated by the needs of the business., • You hold an advanced degree (PhD preferred) or equivalent career experience in Computer Science, Applied Mathematics, Statistics or a related technical discipline Why work at Curinos? • Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from, • Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!, • Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!, • Learning and development tools to assist with your career development, • Work with industry leading Subject Matter Experts and specialist products, • Regular social events and networking opportunities, • Collaborative, supportive culture, including an active DE&I program We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at ___ and we’ll do everything we can to help. Inclusivity at Curinos: We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.

Experience with developing predictive data models, quantitative analyses, and visualization of target data sources. Experience with statistical and general-purpose programming languages for data analysis. Experience implementing automation in processing, presenting, or manipulating data.

About Us: EvolutionIQ’s mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of ___ 3 years in a row! About You: A seasoned ML expert who thrives on first principles problems that no one has ever worked on before. You love innovation and making an immediate impact – and are constantly driving toward launch and delivery thanks to your high degree of ownership and control. You love working on new and challenging problems – not incremental or marginal improvements – and you're supercharged by having interesting, unsolved problems continually present themselves. In this Role, you will: • Perform in-depth exploratory data analysis to scope ML opportunities, identify potential issues in the data, and lay the groundwork for model design, training & evaluation strategies, • Suggest and implement new features to improve model performance and business logic, • Work closely with product & engineering stakeholders to identify business opportunities and technical feasibility using ML/AI, • Mentor and guide more junior MLEs across the organization to drive towards technical excellence in ML workflows and product deliveries, • Build ML models for production use, write and review production-quality PRs daily, • Translate client business problems into ML problems, • Build scalable machine learning models for claim time series forecasting,NLP text understanding, and generative AI solutions, • Continue to grow and learn in the data & ML space with a focus on business problems that require making sense of large-scale structured and unstructured datasets Requirements & Skills: • You are an ML Engineer / Data Scientist with 5+ years of experience, especially in highly scalable production environments, with a proven track record of quickly getting from idea to production, • You have deep exposure to data science & AI tech stacks (sklearn, Keras / PyTorch, LLM / gen AI frameworks, tuning frameworks, A/B experimentation), data analysis & modeling, feel at home in Python/Pandas/Jupyter yet switch seamlessly to work in production environments & pipelines, and strive for scalable technical concepts and solutions., • You’re a team player who is solutions-oriented., • You have crisp written and verbal communication skills and can effectively correspond between technical and non-technical audiences., • You have 2+ years of experience leading teams of 5+ ML engineers in high stakes production environments., • You owned, deployed, and maintained model-serving pipelines in production, • Expert skills at writing clean, efficient, and easy-to-understand code with unit tests and following SWE best practices., • Translate cutting-edge research into production-grade solutions. Turn the latest advancements in AI into scalable, high-impact systems that operate seamlessly in live customer environments, • Experience translating state-of-the-art research papers into production code, • Accustomed to collaborating with data labelers and SMEs, • Experience building production agentic systems Even Better if You Have the following: • Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes, • Experience with advanced statistical modeling, especially probabilistic programming, • You’re up to date on the latest LLM / gen AI developments and have built LLM / agentic applications and iterated on user feedback., • Ambitious, collaborative, and empathetic values, • A work style that is open to giving and receiving critical feedback and collaborating effectively across teams Work-life, Culture & Perks: • Compensation: the compensation range for this role is 225-250K (with flexibility), as well as a meaningful equity plan offered, • Well-Being: Full medical, dental, vision, short- & long-term disability, 401k matching. 100% of the employee contribution up to 3% and 50% of the next 2%., • Home & Family: Flexible PTO, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers), sick days, paid time off. For new parents returning to work we offer a flexible schedule. We also offer sleep training to help you and your family navigate life schedules with a newborn. We also have a flexible vacation policy., • Office Life: Ability to work hybrid. Catered lunches, happy hours, and pet-friendly office space., • Growth & Training: $1,000/year for each employee for professional development, as well as upskilling opportunities internally, • Sponsorship: We are open to sponsoring candidates currently in the US who need to transfer their active H1-B visa. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees

The Data Solutions/Transpose team is an exciting new member of the Chainalysis family, working to deliver a cutting edge blockchain intelligence platform used by the world’s foremost intelligence, law enforcement, tax, and regulatory agencies, alongside many market leaders in the private sector. Our technology is used to automate and simplify solutions to complex investigations, provide real-time threat actor monitoring, give insight into the topology of threat landscapes, and much more. As a Senior Data Scientist, you’ll lead the design and curation of all of the data assets that are provided to our customers within our product to execute on these mission areas. You will be responsible for interacting directly with our customers, understanding unmet mission needs, and translating this into the development and improvement of data assets that leverage the data produced by dozens of other teams across Chainalysis, as well as datasets that we purchase from external providers. You’ll help us to raise the bar on data quality, by working closely with Data Engineers to implement reliability, trustworthy pipelines and automated data quality checks. In aggregate, the work that you lead will provide our customers with the ability to derive powerful and unique insights that are used to drive global investigatory efforts, trans-national threat actor monitoring, national security enhancements, and much more. In this role, you’ll: * Work directly with our customers, their account teams, and our product management function within Chainalysis, to deeply understand customer focuses and mission areas. With this in mind, you’ll then work with other Data Scientists to identify opportunities to further assist our customers by creating or improving existing data assets. * Work with our Data Engineers to implement pipelines that create these data assets in a scalable, trustworthy, and accurate way. * Create and maintain methodologies to ensure that data assets we create are maintainable, observable, and do not develop regressions over time. * Work with other teams across Chainalysis to ensure that we are tracking the right ‘building block’ datasets to build these data assets on top of. * Ensure that our landscape of data assets is standardized, self-explanatory, well-documented, easily usable, and the linkage between customer mission area and relevant data assets is clear. * Conduct data analysis and customer/stakeholder conversations to understand the success of customers with our data, and our product. * Experiment with new methodologies to derive powerful conclusions from the hundreds of terabytes worth of datasets we already have accessible in our platforms. * Manage the lifecycle of data assets (customer-facing launches, changes, deprecations, etc.) * Have a significant impact on the landscape of national security, international law enforcement, and promoting safe adoption of cryptocurrency in the mainstream. We’re looking for candidates who have: * Strong development experience in Python * Excellent SQL Skills * Knowledge of SQL database technologies Nice to have experience: * Experience designing and launching customer-facing data assets * Experience working with blockchain/crypto data * Experience with Databricks * Experience with PySpark/Spark SQL/DLT * Experience with Apache Flink Technologies we use: * Python * SQL (PostgreSQL, Databricks SQL Warehouses) * Databricks (Spark SQL, DLT, PySpark) * Kafka * Google Cloud Platform About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence. You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. Some of the ways we’re ensuring we keep learning are an internal Diversity Committee, Days of Reflection throughout the year including International Women’s Day, Harvey Milk Day, World Humanitarian Day, and UN International Migrants Day, and a commitment to continue revisiting and reevaluating our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more ___. We can’t wait to meet you.

Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio, video, and display.We work to scale the user experience for our fans and hundreds of thousands of advertisers.This scale brings unique

Mirage is the leading AI short-form video company.We’re building full-stack foundation models and products that redefine video creation, production and editing.Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly gro

Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences.We offer creators a variety of ways to engage with their communities and build a lasting business including: paid memberships, free memberships, community chats, liv

Imprint is building a next-generation co-branded credit card company to serve America’s great brands. Some of our partners include H-E-B, Turkish Airlines, Brooks Brothers, and Eddie Bauer. Imprint is backed by Khosla Ventures, Kleiner Perkins, and Thrive Capital. We are focused on building a brilliant team who want to change payments and who embody our ___ The Data Analytics team at Imprint builds the data foundation that powers smarter, faster decision-making. We develop infrastructure and analytics systems that support both daily operations and long-term strategy, enabling high-quality insights into customer behavior, product performance, and business growth. Our work helps teams across Imprint make informed, data-driven decisions at scale. You’ll be part of a high-trust, high-impact team where your work won’t just be seen—it’ll shape how we grow. * Apply statistical inference, experimentation, and behavioral analytics to improve LTV/CAC and accelerate feedback loops. * Be a champion of A/B testing. Partner with cross-functional teams to design, analyze, and interpret A/B tests correctly, rigorously measuring impact with scalable frameworks and data tooling. * Build segmentation frameworks and predictive models to drive targeting and personalization. * Translate data into clear narratives that influence product decisions, marketing campaigns, and executive strategy. * Support Automation projects as needed—e.g. anomaly detection, partner data reporting, or internal self-serve tools/dashboards. * 6+ years of experience in data science, analytics, or a related field—ideally at a high-growth startup or fintech company. * Proven expertise in statistical inference, causal analysis, and experimentation design. * Experience with marketing or product analytics (e.g., user segmentation, campaign attribution, experimentation). * Strong SQL and Python skills. You are comfortable transforming raw data to build your own data sets if the measure you need doesn't exist yet. * A highly analytical mindset with a bias toward action. * Ability to clearly communicate complex findings to technical and non-technical audiences alike. * Comfortable owning projects end-to-end and collaborating cross-functionally to drive impact. * Experience building or scaling experimentation infrastructure. * Familiarity with dashboarding tools (e.g., Sigma, Looker). * Experience in credit, lending, or card products. * Exposure to lifecycle marketing or prescreen modeling. * Competitive compensation and equity packages * Flexible vacation policy * Fully covered, high-quality healthcare including fully covered dependent coverage * Additional health coverage includes access to One Medical and option to enroll in an FSA * 16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents * Access to industry-leading technology across all of our business units — stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity Imprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let’s move the world forward, together.

The Spotify Podcast R&D team consists of Data Scientists, Analytics Engineers, and User Researchers dedicated to improving the experience of podcasts for both creators and users of the platform.This role will support our Product team in evaluating the performance of exciting features from Spotify fo

___ is a creative tool for growth. Our mission is to help businesses grow — without huge investments in tooling or manual labor. We’re already helping over 100,000 people grow their business with Clay. From local pizza shops to enterprises like Anthropic and Notion, our tool lets you instantly translate any idea that you have for growing your company into reality. We’re looking for sharp, low-ego people to help us turn every business's creative ideas into a reality. Check out our ___ to learn more about the product. Why is Clay the best place to work in New York? * Customers love the product (100K+ users and growing) * We’re growing a lot (10x YoY for the past two years) * Incredible culture (our customers keep applying to work here) * In-person work (beautiful office space in Flatiron) * Well-resourced (raised a ___ expansion in Winter 2024 from investors like Sequoia and Meritech) We’re looking for a data science "Olympian" to own full-funnel insights—from shaping our data infrastructure and asking the right questions to running experiments and delivering sharp analyses. You'll play a pivotal role in driving strategic decisions and building a data-driven culture. Our data stack is best in class (we use Snowflake, dbt, Dagster, Hex, Sigma, Eppo, and Census) * Drive strategic insights: Own the full-funnel insight process, transforming data into actionable recommendations for go-to-market and product * Deliver clarity: Translate complex data findings into simple, actionable insights that resonate with both technical and non-technical stakeholders * Set up data infrastructure: Contribute to building and scaling our data transformation and orchestration capabilities, ensuring accurate and timely data delivery * Empower self-serve analytics: Develop a robust self-serve analytics platform that empowers all teams to access and leverage data effectively * Champion a data-driven culture: Establish best practices that encourage non-data teams to use insights effectively * Experiment: Design and set up experiments that test hypotheses and measure impact, driving continuous improvement in processes and products * 4+ year experience * Expert in SQL and Python or R * Robust understanding of statistical and machine learning methods * Experience with data transformation tools (dbt) and data orchestration tools (Dagster or Airflow) * Live in New York (or willing to relocate) Based out of a central office on 19th Street in Manhattan's Flatiron District. We love the energy of in-person collaboration while also offering the flexibility to work from home when needed. * Competitive salary and role trajectory: Roles, responsibilities, and comp grow as we do * Health insurance: Fully funded, high quality health, dental & vision coverage (including 80-100% therapy coverage) * Visa sponsorship: We get it - it's an arduous process, but we're not scared of it * Paid time off: We expect team members to take at least 3 weeks fully-disconnected per year, with a flexible vacation policy beyond that * Free lunch: Lunch is provided in office every day * Parental leave & fertility support: IVF fertility benefits, egg freezing, and 4 months of paid parental leave Learn more about Clay and what it’s like to work with us ___ Learn more about Clay and what it’s like to work with us

Operations Research, Mathematics, Statistics, Industrial Engineering, Mechanical Engineering, Physics, or related field.

Deep dive into complex, legacy codebases; you should be comfortable navigating and improving existing systems. Comfortable navigating large, complex legacy codebases and proposing changes to production systems.

Sia Partners is a next-generation management consulting firm. We offer a unique blend of AI and design capabilities, augmenting traditional consulting to deliver superior value to our clients. Counting 3,000 consultants in 19 countries, we expect to achieve USD 420 million in turnover for the current fiscal year. With a global footprint and expertise in more than 30 sectors and services, we optimize client projects worldwide. Through our Consulting for Good approach, we strive for next-level impact by developing innovative CSR solutions for our clients, making sustainability a lever for profitable transformation. Data-driven marketing has become a central element of strategy for many companies. At Sia Partners, we recognize the growing importance of data analysis in marketing, as it provides a deep understanding of consumer behaviors, optimizes marketing campaigns, and informs strategic decision-making. Our data marketing initiatives cover a wide range of domains, including luxury, energy, FMCG, banking, and insurance. Why Join The Sia Village? Excellence | Entrepreneurship | Innovation | Teamwork | Care & Support | Employee Wellbeing These are the ___ that guide all our actions. As an expression of our values, our Sia Village concept describes our commitment to fostering a sense of community within and among our offices. We believe that knowledge sharing is the key, not only to innovation, but to the growth and development of our people. Your experience at Sia Partners will be enriched by a(n): • Entrepreneurial journey, • Career advocacy program that supports achieving professional development goals through guidance, and real-time feedback, • Continuous learning & development opportunities, • Diversity, equity, and inclusion programs with an ever-growing list of global affinity initiatives To support its growth, Sia Partners is recruiting a Data Scientist Consultant with strong expertise in Marketing, Client, and Product challenges. Attached to the Data Science BU of Sia Partners, you will support the operational teams and marketing departments of our clients in defining their data needs and analyzing their data using data science techniques. This support takes various forms: Data Analysis, Strategic Support, Machine Learning & Statistics, Data Engineering & DevOps, Data Visualization, Data Transformation & Acculturation... The use cases can thus be varied: • Customer Loyalty:, • Customer Segmentation: Deepen the understanding of customers. Identify homogeneous customer profiles using clustering techniques, thus enabling optimal personalization of marketing campaigns., • Predictive Marketing: Develop and implement predictive models to anticipate customer behaviors, optimize marketing campaigns, and support customer retention strategy., • Define hyper-personalized marketing plans., • Enhanced Customer Experience:, • Using NLP models, analyze the causes of dissatisfaction from customer feedback, and extract structured information., • Leverage the latest AI models to offer hyper-personalized customer experiences (Personalized products, Recommendation engines, Connected objects)., • Pricing & Product:, • Contribute to pricing strategy, product development, and assortment optimization, as well as enhancing cross-selling strategies., • Capitalize on Generative AI to boost the creation of innovative products., • Geomarketing & Open Data:, • Integrate open data and geomarketing data into analyses to optimize targeting and campaign impacts., • Understand and anticipate the performance of the retail network., • Supply Chain & Operations:, • Predict sales to adjust production and inventory., • Developing or enhancing our offerings through training, working groups, internal and external communications, and R&D work., • Enhancing the firm's visibility by contributing to the publication plan (sector blogs, studies, press releases...) and marketing events., • Supporting business development by helping to define needs and participating in commercial activities., • Graduated with a master's degree in engineering or business school with a specialization in data analysis, statistics, and marketing. Ideally, you have initial experience in data analysis in a marketing context., • Excellent programming skills in Python, SQL, and data modeling., • Good knowledge and mastery of Data Science and Machine Learning algorithms (supervised methods, unsupervised methods, clustering…)., • Strong interest in marketing challenges and a good understanding of the luxury, FMCG, energy, banking, and insurance sectors., • Excellent communication and project management skills, with the ability to lead projects from conception to completion., • Proficiency in BI tools (Power BI, Tableau, Qlik…) and Python visualization tools (dash, plotly)., • Knowledge of a Cloud environment is appreciated (GCP, AWS, or Azure)., • Professional proficiency in English is required., • Joining Sia Partners means:, • Working on high-impact missions in various sectors (Energy, luxury, transportation, retail, finance…)., • Benefiting from a wide range of trainings and certifications in data, ensuring constant skill updates., • Evolving in a stimulating and dynamic professional environment with high value-added missions and internal R&D topics., • Joining a company committed to climate transition. Compensation & Benefits • Salary + Annual Discretionary Bonus, • Healthcare coverage that includes medical, dental, vision and life insurance policies, • Generous time off, • Parental leave paid at 100% of base pay for all new parents regardless of gender, • Future Moms Program, • 9 Company Holidays + 1 Floating Holiday, • 401(k) matching, • College save-up plan & college loan repayment plan, • Monthly cell phone stipend, • Commuter Benefits Compensation for this role is between $122,000 to $129,000 per year. Actual compensation within that range will be dependent upon the individual’s skills, experience, qualifications, and market location Our Commitment To Diversity Diversity, equity, inclusion, and belonging (DEIB) are part of Sia Partners’ DNA. Thanks to our expertise in several sectors and our international growth, our teams include a variety of experiences and cultures. We’re confident that promoting DEIB creates an environment in which everyone can reach their full potential. Our global network, DEIB@Sia Partners, brings together our people worldwide to facilitate local and global progress, focused on the following areas: • Gender equality (global Gender Equality Index score of 93/100 for 2023), • LGBTQ+, • Race & Ethnicity, • Working Parents Sia Partners maintains its hybrid workplace arrangements and provides a flexible workplace environment that is driven by client and business/market needs. At this time, in-person requirements are issued by departments (Business Unit/Business Line) and vary by office location. Consultants are expected to have the ability to be flexible with work location depending on business needs and live within a reasonable distance to the office. Work Authorization & Sponsorship At this time, Sia Partners does not intend to pursue employment with applicants who will require now or in the future visa by our company for work authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status). Sia Partners is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Hiring Rate: $74,536.00/Flat Rate The Early Intervention Program (EIP) is a comprehensive interagency program that supports infants and children with developmental delays in their efforts to realize their full potential. It reduces the likelihood of delays among at-risk children, assists and empowers families to meet their child's and their own needs, and entitles children, regardless of race, ethnicity or income to services through the program. The EIP is legally mandated under Title II-A, 2552, of Article 25 of the NYS PHL to ensure that eligible children receive therapeutic services as soon as possible, and it has been recognized as an essential service during COVID-19 by NYS. The process of getting children to services includes processing referrals to the EIP, scheduling evaluations and Individualized Family Service Plan (IFSP) meetings, convening IFSP meetings, and authorizing services. Children continue to receive IFSP meetings every six (6) months for as long as they are in the Program. The Bureau of Early Intervention oversees provision of therapeutic services to 30,000 children ages birth to 3 years each year. At the borough level, contracted service agencies are monitored by the Regional Office. The Assistant Data Analyst will report to the Assistant Director of the Research and Analysis Unit and be responsible for developing and running routine and ad hoc data reports. DUTIES WILL INCLUDE BUT NOT BE LIMITED TO: Learn EI program operations as they pertain to this role. Learn both the front and back ends of the EI-Hub data management system including the relational table structure, commonly used tables and fields, and approaches for investigating new inquiries. With increasing independence, write, execute, and troubleshoot analyses in both SAS and R and call and write macros, match and merge data, and clean and prepare tables for analysis in both SAS and R. Output accurate, well-formatted and completely documented reports. Accurately and comprehensively carry out quality assurance and data management activities including copying and pasting data between two data systems, compiling data from multiple sources into clean and actionable spreadsheets, manual cleaning of free text data fields, manual review of matches, address verification, repetitive production of standardized reports, etc. Produce data visualization products including slides, dashboards and maps. Provide administrative and research support to the Director of Research and Analysis, including completing administrative paperwork (e.g., emergency contact lists, requests for office supplies, travel requests and justifications), taking and distributing meeting minutes, orienting new staff to Data Unit roles and functions, searching the internet, carrying out ad hoc investigations, preparing IRB materials, conducting literature reviews, and drafting, reviewing and editing written materials. Provide ad hoc support to and coverage for other Data Unit members PREFERRED SKILLS: Proficiency in the use of SAS for data management and statistical analysis Experience in the use of R preferred Excellent oral, written, and visual communication skills Attention to detail Strong conceptual thinking and the ability to quickly learn a complex new content area Organizational and time-management skills and ability to work independently Proven ability to work collaboratively An interest in and familiarity with the Early Intervention Program A commitment to promoting equitable access to Early Intervention services Why you should work for us: • Work From Home Policy: Depending on your position, you may be able to work up to two days during the week from home., • Job Security - you could enjoy more job security compared to private sector employment and be able to contribute to making NYC a healthy place to live and work. Established in 1805, the New York City Department of Health and Mental Hygiene (NYC Health Department) is the oldest and largest health department in the U.S., dedicated to protecting and improving the health of NYC. Our mission is to safeguard the health of every resident and cultivate a city where everyone, regardless of age, background, or location, can achieve their optimal health. We provide a wide array of programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and social justice initiatives. As the primary population health strategist and policy authority for NYC, with a rich history of public health initiatives and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 pandemic, we serve as a global leader in public health innovation and expertise. Come join us and help to continue our efforts in making a difference in the lives of all New Yorkers! The NYC Health Department is an inclusive equal opportunity employer committed to providing access and reasonable accommodation to all individuals. To request reasonable accommodation to participate in the job application or interview process, contact Sye-Eun Ahn, Director of the Office of Equal Employment Opportunity, at ___ or 347-396-6549. CITY RESEARCH SCIENTIST - 21744 2. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or, 3. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or, 4. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above. NOTE: Probationary Period Appointments to this position are subject to a minimum probationary period of one year. The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

About Daydream Daydream is the first chat-based shopping agent built exclusively for fashion. Designed to redefine how people search and discover fashion, Daydream offers a personalized, conversational experience powered by advanced AI and natural language understanding. Backed by top-tier investors including Forerunner Ventures, Index Ventures, Google Ventures, and True Ventures, our team is committed to shaping the future of shopping. About the role Are you passionate about the intersection of high fashion and cutting-edge artificial intelligence? As a Data Scientist at Daydream, you will be a foundational member of the team building the brain behind our AI Personal Stylist. You will leverage the latest advancements in Large Language Models to create a truly magical, intuitive, and sophisticated conversational experience. This is a unique opportunity to solve complex technical challenges while directly shaping a product that will revolutionize how people shop online. What you’ll do: * Design, build, and deploy core features for our AI stylist using advanced techniques like Retrieval-Augmented Generation (RAG) and LLM-powered agents. * Own the end-to-end lifecycle of our models, from data processing and fine-tuning to creating robust evaluation frameworks that measure quality and accuracy. * Masterfully craft and iterate on prompts to shape the AI's persona, ensuring it embodies the voice and expertise of a world-class fashion consultant. * Collaborate closely with product, design, and engineering teams to translate user needs and creative concepts into tangible, production-ready AI features. * Champion rapid, hypothesis-driven experimentation, embracing the freedom to take calculated risks, test bold ideas, and pivot quickly to discover breakthrough user experiences. * Stay at the forefront of the rapidly evolving AI landscape, researching and prototyping new architectures and techniques to continuously elevate our product. Who you are * You have hands-on experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, programmatic API usage, and building evaluation frameworks. * You have a strong interest or background in the fashion, retail, or luxury goods industry. You possess a keen eye for aesthetics and an intuitive understanding of the user you're building for. * You possess a strong background of machine learning fundamentals, including classification, regression, clustering, and the principles behind embeddings and gradient descent. You are proficient in Python and a major deep learning framework such as PyTorch or TensorFlow. * You are a pragmatic and proactive builder who thrives in a fast-paced, autonomous environment, capable of driving projects from a simple idea to a fully realized feature. * You are an empathetic and collaborative teammate, skilled at communicating complex technical ideas and passionate about building products that users genuinely love. What we offer * Competitive salary, equity and benefits (medical, dental, vision, 401k, etc.) * Flexible vacation and remote working * The opportunity to be part of a groundbreaking, AI-focused company * Collaborative work environment with a team of talented, fun-loving individuals. * Opportunity to learn and grow in your career while shaping the future of fashion, shopping and technology Commitment to Diversity Daydream is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, gender, sexual orientation, gender identity, age, national origin, or disability status.

Salary: Flat Rate - 72,190.00 (Annual) The Division of Disease Control's mission is to safeguard the health of New Yorkers through identification, surveillance, treatment, control, and prevention of infectious diseases, which is achieved through varied and interrelated endeavors of its seven Bureaus. The Bureau of Hepatitis, HIV, and Sexually Transmitted Infections' (BHHS) mission is to improve the lives of New Yorkers by ending transmission, illness, stigma, and inequities related to viral hepatitis, HIV, and sexually transmitted infections. BHHS accomplishes its mission through testing initiatives; prevention, care, and treatment programming; epidemiology and surveillance; training and technical assistance; community engagement; social marketing; policy advocacy; and racial equity and social justice initiatives. The Health Department coordinates NYC's response to the HIV epidemic. This includes HIV testing initiatives; prevention, care and treatment programming; surveillance; training and technical assistance; policy advocacy; community engagement; social marketing; and racial equity and social justice initiatives. Building upon the New York State Blueprint for Ending the Epidemic (ETE) and aligning with the U.S. Department of Health and Human Services' 2019 Ending the HIV Epidemic: A Plan for America, the Health Department's 2020 NYC Ending the Epidemic Plan includes five strategies to reduce the number of new HIV infections and improve the health and well-being of New Yorkers with HIV. BHHS's HIV Care and Treatment Program (CTP) is the Recipient of the Ryan White HIV/AIDS Program (RWHAP) Part A grant, the HOPWA grant, and the Ending the HIV Epidemic (EHE) cooperative agreement. CTP consists of six units: 1) Quality Management & Program Implementation, 2) Program Planning & Compliance, 3) EHE Initiative Services, 4) Housing Services, 5) Special Projects & Initiatives, and 6) Research and Evaluation. The HIV Care and Treatment Program seeks a Data Analyst in the Research and Evaluation Unit to contribute to process and outcome evaluation and reporting for the Ryan White Part A (RWPA) program and assist on other projects as needed. This opening offers a rare opportunity to join a stellar team of analysts in advancing health practice, policy, and science through the effective use and communication of data. DUTIES WILL INCLUDE BUT NOT BE LIMITED TO: • Supporting data-driven management and standardized, federally and state-compliant HIV services provider reporting., • Contributing to data systems specifications, documentation, testing, data collection tools, and/or user support/technical assistance., • Assisting with developing, maintaining, and presenting standard reports for the HIV Care and Treatment Program and its stakeholders., • Participating in core unit activities, including cleaning, managing, matching, analyzing and displaying process and outcomes data, and responding to ad-hoc data requests using analytic software packages (SAS or R)., • Helping integrate data from different systems as needed to ensure data quality and completeness., • Contributing to every stage of the research and evaluation process, from building systems for data collections, to analysis, to producing reports, presentations, presentations, and papers for public dissemination., • Supporting local public health responses to emergencies such as COVID-19. PREFERRED SKILLS: • Strong analytical, organizational, and communication skills., • Knowledge of SAS or R (programming and analysis), Tableau (data visualization), Adobe Acrobat, as well as Microsoft Excel, PowerPoint, and other MS Office software., • An appreciation for data quality and program quality management., • Ability to work effectively with a diverse staff of scientists, IT specialists, planners, clinicians, program managers, and service providers within the NYC Health Department and at external agencies, as well as clients/consumers who participate in community planning and research review processes., • Capacity to maintain multiple projects and function effectively both independently and as part of a team., • Knowledge of HIV prevention and treatment, populations most affected by HIV, and how structural oppression affects vulnerability to poor HIV outcomes. Why you should work for us: • Work From Home Policy: Depending on your position, you may be able to work up to two days during the week from home., • Job Security - you could enjoy more job security compared to private sector employment and be able to contribute to making NYC a healthy place to live and work. Established in 1805, the New York City Department of Health and Mental Hygiene (NYC Health Department) is the oldest and largest health department in the U.S., dedicated to protecting and improving the health of NYC. Our mission is to safeguard the health of every resident and cultivate a city where everyone, regardless of age, background, or location, can achieve their optimal health. We provide a wide array of programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and social justice initiatives. As the primary population health strategist and policy authority for NYC, with a rich history of public health initiatives and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 pandemic, we serve as a global leader in public health innovation and expertise. Come join us and help to continue our efforts in making a difference in the lives of all New Yorkers! The NYC Health Department is an inclusive equal opportunity employer committed to providing access and reasonable accommodation to all individuals. To request reasonable accommodation to participate in the job application or interview process, contact Sye-Eun Ahn, Director of the Office of Equal Employment Opportunity, at ___ or 347-396-6549. CITY RESEARCH SCIENTIST - 21744 2. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or, 3. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or, 4. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above. NOTE: Probationary Period Appointments to this position are subject to a minimum probationary period of one year. The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

mParticle by Rokt is widely recognized as one of the leading customer data platforms, serving hundreds of global brands and helping them turn data to insights and insights to action. Built on top of end-to-end streaming architecture, we are committed to empowering businesses to deliver personalized and engaging experiences to their customers across all screens and devices. We believe that the opportunity to help teams activate insights from their customer data to deliver more relevant and adaptive experiences is more important than ever. In January 2025 mParticle merged with Rokt and became mParticle by Rokt. Together, our AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions, connecting 400 million customers across the world’s leading companies. We are Rokt, a hyper-growth ecommerce leader. We enable companies to increase value by unlocking real-time relevancy in the moment that matters most, when customers are buying. Together, our AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions connecting 400 million customers across the world’s leading companies. In January 2025, Rokt’s valuation increased to $3.5 billion USD, allowing us to expand rapidly across 15 countries. The Rokt engineering team builds intelligent infrastructure and platforms that power mission-critical services. At this scale, excellence in reliability, performance, and developer experience is non-negotiable. At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible. We are looking for a Senior Data Scientist / Machine Learning Engineer Total Compensation between: $300,000-$375,000, which includes a fixed annual salary between $200,000 - $250,000, employee equity plan grant & world class benefits. Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility. About the Role: As a Senior Data Scientist / Machine Learning Engineer on the Identity team, you will play a critical leadership role in shaping and advancing our identity solutions. You will drive data-driven strategies, lead complex analyses for entity resolution, and collaborate cross-functionally to enhance the quality, effectiveness, and scalability of our identity systems. • Spearhead complex analyses applying advanced statistical methods and machine learning techniques to large-scale identity data, uncovering actionable insights to significantly improve the effectiveness and quality of our identity solutions and drive initiatives to completion, • Independently identify, scope, and champion high-impact opportunities for innovation within the identity space, developing novel analytical approaches and data-driven strategies., • Test and run experiments to determine impact on model relevancy, • Define key metrics for tracking the health and performance of identity systems; Design, build, and maintain robust data pipelines to support machine learning model deployment and large-scale data processing for identity use cases, • Conduct proactive analysis, modeling, and automation of improvements to entity resolution in areas such as geography, linkage, fraud detection, and risk assessment., • Partnering closely with product and engineering teams to develop the strategy for evolving our identity graph, • 6+ years of industry experience as a Data Scientist (or 3+ years with a PhD), including significant work with identity, fraud, or security data, • Master’s degree in Statistics, Econometrics, Machine Learning, or related fields., • Demonstrated project leadership, mentorship, and ability to tackle highly ambiguous technical and business problems, • Strong knowledge of online AB testing and experimentation, • Strong knowledge of Python 3 (data science libraries) and SQL;, • Experience with distributed computing frameworks, particularly Spark is preferred, • Experience with Kubeflow is preferred, • Understands prompts for AI and is comfortable with using AI to improve day to day productivity, • Experience with identity-focused data science projects (e.g., authentication, fraud, user verification, KYC)., • Strong analytical / modeling experience tied to business outcomes, • Applied use of visualization tools such as matplotlib, seaborn, tableau, Python visual libraries, • Experience with common Python data science libraries such as pandas, numpy and scipy As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks, or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency, and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. About the Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it: • Accelerate your career. We offer roadmaps to leadership and an annual training allowance, • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office., • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and great health benefits for you and your dependents., • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

The Role: We are seeking a full stack Senior Data Scientist who will help shape business strategy and product development decisions through data-driven insights for SoFi’s financial services products. This is an exciting role for someone to make a direct impact on the product strategy and revenue of SoFi. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: you know how to plow through data with SQL/Python/R/Tableau, surface insights using math/statistics/ML techniques, and measure the business impact using efficiency/conversion/profit metrics. You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together. What you’ll do: • Work with amazing product and business managers to identify strategic opportunities, measure KPIs to craft compelling stories, make data-driven recommendations, and drive informed actions., • Own end-to-end product analytics workflow including formulating success metrics, socializing them across the organization, and creating dashboards/reports., • Act as a curator of data by defining, instrumenting, and tracking necessary analytics of our products by working cross functionally with engineering and product teams., • Craft, analyze, and present customer behavior metrics, such as funnel conversion, user churn, features engagement, product LTV, and cross-sell metrics. Work with product and marketing partners to design tests to improve these metrics., • Working with seasoned business leaders to understand revenue, costs and profitability across various revenue streams., • Analyze and perform statistical analysis on data that underlies our product experiments., • Build exploratory & predictive models to help decision makers understand customer behaviors and segmentation, • You stay focused on what’s best for the company – sometimes that requires being flexible, other times it requires being steadfast. What you’ll need: • Bachelor’s degree required (Masters preferred) in Computer Science, Math, Physics, Engineering or quantitative field., • 4+ years of relevant work experience, • Intellectual curiosity and aptitude to pick up new technical skills, • Exceptional problem-solving skills, • High EQ with ability to influence outcomes and communicate technical content to general audiences, • Ability to initiate and drive projects to completion with minimal guidance, • Ability to communicate assertively and succinctly therefore being able to influence stakeholders to make data driven decisions., • Strong programming skills in SQL, Python and proficiency in Tableau, • Experience with experimentation and hypothesis testing, • Ability to work in a dynamic, cross-functional environment, with strong attention to detail, • Strong relationship building and collaborative skills Nice to have: • Experience in a financial organization, • Experience in working with growth-focused products, • Familiarity & interest in Generative AI systems, including RAG and LLMs

Cinder is seeking our first dedicated Data Scientist to help us unlock insights, drive product direction, and scale our impact.This role will align closely with our full stack and data platform engineers and will require fluent communication with our customer success team and our customers directly.

Tatari is on a mission to revolutionize TV advertising. We work with some of your favorite disruptor brands—like Calm, Vuori, Rocket Money, and hundreds more—to grow their business using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience. Our technology and services are pushing the industry forward, enabling businesses of any size to advertise on TV. Named one of the 16 Hottest Ad Tech Companies by Business Insider and ___by Inc. Magazine, Tatari is experiencing rapid growth. Our executive team is comprised of former founders and senior leaders at fast-rising startups like Shazam, TrueCar, AdapTV, and LiveRail and larger, more established tech companies like Amazon, Google, Meta, Microsoft, and Yahoo. We’re looking for a Research Data Scientist to join the team! In this role, you will work in a fast-paced environment, with diverse data sets and technologies to produce production quality, scalable, automated solutions to a diverse set of challenging data problems. You will have the freedom to utilize the latest technologies to solve challenging problems, create innovative applications from the ground up and understand exactly what it takes to create a reliable online experience for our customers. This role collaborates closely with our technology and client-facing teams to optimize our business, with the ultimate goal of helping Tatari redefine marketing analytics for tv and streaming video media buying. Description: • Collaborating closely with our engineering and technology teams, the Data Scientist will build predictive models, measurement algorithms, and deep analyses to provide insights for optimizing our business., • Specifically, the job duties will include the following:, • Applying fluent understanding of state-of-the-art machine learning techniques to build predictive models and recommender systems;, • Applying deep understanding of statistics and probability to devise improvements to existing algorithms;, • Contributing to developing and maintaining internal analysis software libraries;, • Developing new intellectual property;, • Analyzing large amounts of data to identify relationships and trends, translating them into actionable insights for our product team and clients;, • Reporting findings, both orally and in writing Qualifications: • Masters’ degree in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.), • Advanced experience in data manipulation tools (e.g., Python, pandas, pyspark, SQL), • Deep knowledge of statistics, probability, and machine learning techniques, • Experience building/testing/validating ML models using state-of-the-art tech, • Strong background designing and developing software to implement advanced analytic algorithms, • A quick learner, with the ability to work independently and adaptably in a fast-paced environment, • Strengths in creativity & open-ended problem-solving-- able to identify what's important (and not important) to focus on in order to construct effective approaches to challenging problems, • Strong strategic thinking capabilities and project management skills, • Strong communication skills, both written and oral, • Nice to have:, • PhD in a technical field, • Industry experience with development and deployment of predictive models or recommendation systems Benefits: • Competitive salary ($130,000 - 160,000/annually), • Equity compensation, • Health insurance coverage for you and your dependents, • 401K, FSA, and commuter benefits, • $150 monthly spending account, • $1,000 annual continued education benefit, • $500 WFH reimbursement, • Unlimited PTO and sick days, • Monthly Company Wellness Day Off, • Snacks, drinks, and catered lunches at the office, • Team building events, • Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated. #LI-HYBRID

Join our experienced roster of consultants that support Hedge Funds and Family Offices. Arootah is a personal and professional development leader in the Investment and Financial Services industry. Our mission is to provide top business advisory services to our hedge fund client base. We focus our Business Consulting on the multi-faceted needs of Hedge Funds and Family Offices. Arootah was founded by Rich Bello, the Co-Founder and COO of the industry-leading $10 billion hedge fund, Blue Ridge Capital. Rich brings more than 30 years of experience, including leadership positions at Morgan Stanley, Tiger Management, and Ernst & Young. Visit us at ___ for more information. WHO WE NEED: Arootah is searching for experienced Data Scientists to consult to our highly prestigious client base. As a consultant, you will work with our Hedge Fund and Family Office clients to provide expert advice. Having previously served in this leadership role, you have specific, hands-on experience developing the data infrastructure, tools, and analysis to bolster and accelerate the investment processfor a leading Hedge Fund or Family Office. \n What You'll Do • Best practice reviews., • Developing realistic and effective action plans., • Breaking apart goals into actionable steps., • Advising on vendor selection and oversight., • Creating and implementing policies, procedures, and control measures., • Evaluating each client’s advancement toward goal actualization through key performance indicators (KPIs) and scoring matrices., • Special projects or other areas of need. Who You Are • Scope, build, and lead the investment data science and analysis practice for the investment team of a Hedge Fund or Family Office., • Perform exploratory analyses as well as clustering and modeling of large structured and unstructured datasets in order to deploy production-ready models in the domains of lead scoring, look-a-like, retention and more, including post-deployment monitoring., • Partner closely with a firm’s investment team to turn datasets into actionable insights by attending weekly pipeline meetings and working 1:1 with investment team leads to support the sourcing, selection and monitoring of all investment targets., • Build portfolio company dashboards to track all relevant KPIs and value creation metrics for existing portfolio investments., • Track and benchmark existing companies or investment alternatives in the pipeline by building a platform to help analyze datasets across all target investments., • Maintain and update all internal datasets for comparable valuation metrics across all investment team funds and strategies., • Work closely with the Technology and IT team to develop a best-in-class technology stack to enable the firm's data science practice., • Investigate data quality issues affecting investment analytics and risk metrics; coordinate resolution with other groups as required., • Promptly respond to investment data requests from key customers, including Traders, Portfolio Managers, and investment personnel., • Continually investigate new tools and techniques, as well as emerging standards to support investment data controls and operational readiness for investment mandates. Qualifications • A Bachelor’s Degree in Computer Science, Data Science, Engineering, Information Systems, or a related field., • Master’s Degree in a quantitative field (e.g. Computer Science, Mathematics, Statistics, or other related field) is a plus., • 6+ years of proven experience as a Data Scientist at a Hedge Fund, Investment Management firm or Family Office., • Proficiency in Python, R, and SQL as well as data visualization and dashboarding tools (e.g. Tableau, Looker, QlikView) and Big Data technologies such as Apache Spark and cloud computing platforms., • Hands-on expertise and knowledge of emerging data science techniques, technologies, and potential business applications for Machine Learning/Artificial Intelligence., • Demonstrated understanding of financial concepts, different asset classes, investment vehicles, security types, and application of data science in financial domain., • Comfort with high volumes of unstructured and structured data, with the ability to leverage multiple datasets to draw both granular and big picture conclusions, • Strong written and spoken communications skills; ability to communicate ideas clearly and confidently, articulate issues and recommend solutions. \n$150 - $350 an hour\n Become part of a well-funded disruptor in the finance and technology space. The ability to work remotely. Flexible hours and the ability to choose your assignments. The hourly consulting rate of pay is expected to be a minimum of $150 and a maximum of $350, per hour. The hourly rate will be determined by several factors which may include, but are not limited to, the length of the individual engagement, level of difficulty, level of specialization required, professional designations, skills, and years of experience.

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. Its open-source technology is trusted by over 20,000 organizations worldwide - including more than half of the Fortune 500 - H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, ___ aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. About This Opportunity Are you a data scientist or machine learning engineer who enjoys solving real-world problems by applying cutting-edge Gen AI/ML algorithms? Are you passionate about working with customers to solve their business challenges? Can you explain complex machine learning concepts in simple business terms? If the answer is “yes”, then we are looking for you! We are looking for a Senior AI Solutions Engineer to join our customer-facing team. In this role, you’ll combine deep technical expertise in Machine Learning and Generative AI with strong pre-sales solutioning skills to help enterprise customers design, adopt, and scale AI using the H2O.ai platform. You’ll work hand-in-hand with Sales, Product, and Customers - leading technical discovery, designing architectures, running demos and pilots, and guiding customers through their end-to-end AI journey This position is based in New York, NY, and open to candidates in Boston, MA, and the Washington, D.C. area. What You Will Do • Partner with Sales to drive pre-sales success: lead discovery sessions, identify customer needs, design technical solutions, and build winning proposals., • Deliver compelling demos, workshops, and proof-of-concepts (POCs) across the H2O.ai platform (Driverless AI, Feature Store, EnterpriseGPT, Wave, h2oGPT, LLM Studio, ML Ops, and open-source tools)., • Build and present custom AI/ML/GenAI solutions tailored to industry verticals (banking, finance, insurance, healthcare, manufacturing, retail, public sector)., • Showcase hands-on expertise with LLMs: fine-tuning, evaluation, RAG pipelines, guardrails, and LLMOps best practices., • Design reference architectures and deployment strategies for enterprise customers across cloud (AWS, Azure, GCP), hybrid, and on-prem., • Guide customers on MLOps, Kubernetes deployments, CI/CD integration, monitoring, and governance to ensure production readiness., • Work closely with Product Management to influence product roadmap based on customer and field insights., • Contribute to thought leadership by creating solution blueprints, best practices, and reusable assets; represent H2O.ai at events, roundtables, webinars, and conferences.What We Are Looking For, • 5+ years in pre-sales, sales engineering, or solution architecture roles for enterprise AI/ML platforms., • Strong hands-on expertise in Generative AI and ML: LLM fine-tuning, evaluation, pipelines, predictive ML algorithms., • Proven experience with cloud-native deployments (AWS, Azure, GCP), Kubernetes, and enterprise integration., • Ability to design and explain AI/ML solution architectures to both technical and executive stakeholders., • Strong programming skills in Python (preferred), with familiarity in R or Java., • Excellent presentation and communication skills: confident in front of C-level executives and technical teams., • Experience with H2O.ai products or similar enterprise AI/ML platforms is a plus., • Willingness to travel up to 50% to support strategic accounts.How to Stand Out from the Crowd, • Experience running POCs, pilots, and executive workshops that accelerate AI adoption., • Familiarity with enterprise security, compliance, and governance in AI deployments., • Demonstrated thought leadership (talks, blogs, open-source contributions)., • Vertical domain expertise (e.g., BFSI, telco, pubic sector, manufacturing, retail).Why H2O.ai?, • Market leader in total rewards, • Remote-friendly culture, • Flexible working environment, • Be part of a world-class team, • Career growth H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit______ to learn more.

We’re looking for a Data Scientist to join Native Ads within the Music Mission.Native Ads is focused on building visual promotional formats that empower artist teams to build audiences of fans with formats, targeting & measurement tools that are purpose built for music.In this role, you will partn

About Fundwell: Fundwell is a modern business financing platform helping small and medium-sized businesses access the capital they need to grow. By combining cutting-edge technology with unmatched speed and simplicity, we deliver fast, trusted funding solutions that empower our customers to succeed. Role Overview: We’re looking for a motivated Data Scientist to join our analytics and data engineering team. In this role, you’ll work at the intersection of data modeling, analytics, and business operations — leveraging tools like BigQuery, Fivetran, and Retool to build scalable pipelines, create insights, and empower stakeholders with actionable data. Key Responsibilities: * Design, build, and maintain robust data pipelines using Fivetran and BigQuery to support reliable, real-time analytics. * Develop and maintain data models and dashboards in Retool to provide self-service reporting and decision support to teams across Fundwell. * Perform exploratory data analysis and advanced analytics to identify trends, opportunities, and improvements within our underwriting and customer operations. * Collaborate with stakeholders to define KPIs, build metrics, and ensure data integrity. * Partner closely with engineering and AI/ML teams to ensure data availability and consistency across systems. * Continuously improve data processes, documentation, and best practices. What We’re Looking For: * Hands-on experience with BigQuery or other cloud data warehouses. * Proficiency with ETL tools like Fivetran or similar modern data integration tools. * Strong SQL skills and a solid understanding of data modeling concepts. * Experience building internal tools or dashboards with platforms like Retool is a plus. * Ability to translate complex data into clear insights and recommendations for business teams. * Strong communication and collaboration skills. Why Join Fundwell: * Make a real impact helping small businesses thrive through data-driven insights. * Work in a supportive, fast-paced environment with a collaborative team. * Competitive compensation, benefits, and opportunities for professional growth at a rapidly scaling fintech company.

IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more.

TRS is seeking a driven, analytical, and technically capable Entry-Level Data Scientist to support our growing portfolio of artificial intelligence, automation, and data-driven initiatives.This role is ideal for someone passionate about applying data science and machine learning to drive practical,

Alexander Group: Decades of experience growing revenue for global companies.Alexander Group provides management consulting services to the world’s leading organizations.When clients need to grow revenue, they look to Alexander Group for data-driven insights, actionable recommendations, and most im

Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how. We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re on the Forbes Cloud 100 list and a Great Place to Work accredited company. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow. Important note: Please submit CVs in English The role We empower businesses in the digital economy, and we know that every payment counts. Our Payment Performance team’s mission is to manage and optimise merchants’ payment flow, to achieve optimal conversion, compliance and cost. Checkout.com is looking for a Senior Data Analyst to join our Payment Success team to craft an all-encompassing payments strategy tailored specifically for our Tier-1 merchants. You will be the main point of contact for a merchant regarding their payment performance. You will play a critical role in defining, delivering and building tools for the right insights to showcase the value of our optimal payment strategies. You will work closely with Payment Performance engineers and data scientists leveraging cutting-edge technology and data insights. You will also collaborate regularly with other teams and cross-functional stakeholders to establish priorities and drive merchant performance improvements. Hybrid Working Model: All of our offices globally are onsite 3 times per week (Tuesday, Wednesday, and Thursday). We’ve worked towards enabling teams to work collaboratively in the same space, while also being able to partner with colleagues globally. During your days at the office, we offer amazing snacks, breakfast, and lunch options in all of our locations. How you’ll make an impact • Deliver expertise and guidance to our key merchants by crafting optimal payments strategy., • Conduct deep-dive exploratory data analysis to uncover insights and anomalies, • Conduct experiments and A/B tests to improve performance, including ML based solutions., • Develop cutting-edge automation tools aimed at monitoring and optimising merchants’ performance., • Implement robust measurements to assess how proposed solutions impact merchants' performance and revenue, providing valuable insights for both internal and external ROI., • Collaborate with various teams across the company to ensure an outstanding merchant experience and feed requirements for product development, • Elevate internal awareness, particularly within the executive team, regarding the full spectrum of merchant services and benefits provided, • Drive a culture of cross-team learning and knowledge sharing 5+ years experience as data scientist, working with large and diversified data sets * Bachelor’s degree, preferably in Mathematics / Statistics / Computer Science / Engineering, Finance or equivalent * SQL/ Python knowledge to extract & analyse data from our Data Warehouse * Experience with Git & Spark, Databricks, Retool, API * Ability to find creative and effective solutions for business problems * Flexible, adaptable and has a willingness to learn * Payments or Fintech experience is a plus If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values Please submit CVs in English. Additional Information New York City law requires Checkout.com to include in job postings a reasonable estimated salary range for this position. However, exact compensation may vary subject to several factors such as a candidate’s level, relevant experience, qualifications, skills and proficiency for the role. The information provided here is applicable to those working in the New York City office. However, this role may also open to applicants from other US locations and will be advised on the relevant pay for that location. For regular full-time employees in New York City, the estimated base salary for this role is $138,720 -163,200 per year. Our competitive salaries are just one component of Checkout.com’s total compensation package. Additional benefits include: health, vision, dental insurance, 401k, vacation and sick and safe time, learning days and volunteer days. To view more details of what you can look forward to, visit our careers page: ___. Apply without meeting all requirements statement If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values. We believe in equal opportunities We work as one team. Wherever you come from. However you identify. And whichever payment method you use. Our clients come from all over the world — and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success. When you join our team, we’ll empower you to unlock your potential so you can do your best work. We’d love to hear how you think you could make a difference here with us. We want to set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. We’ll be happy to support you. Take a peek inside life at Checkout.com via • Our Culture video ___, • Our Culture video, • Our careers page ___, • Our careers page, • Our LinkedIn Life pages___, • Our Instagram___, • Our Instagram

Alexander Group: Decades of experience growing revenue for global companies.Alexander Group provides management consulting services to the world’s leading organizations.When clients need to grow revenue, they look to Alexander Group for data-driven insights, actionable recommendations, and most im

Nielsen Global Media collects billions of data points on what consumers watch and buy. We study consumers in more than 100 countries, and help our clients globally identify unmet needs, develop new products and deliver them in an engaging way. We are constantly evolving, not only in terms of where we measure, or who we measure, but in how our insights can help drive profitable growth. DESCRIPTION Develop and apply machine learning and predictive models to enhance digital measurement. Engineer predictive features for use in our current data modeling pipelines. Manage projects through all phases, including data quality, analysis design, algorithm/feature development, predictive modeling, summarization, visualization, and communication of results. Enhance and evolve existing solutions to meet changing business needs with agility. Independently develop custom production level Python and SQL code. Use Git and cloud development tools extensively to iterate and improve data science work streams. Write well documented production level Python scripts and participate in code reviews. Collaborate with our software engineers and product leaders as you integrate and test new or updated modules in production pipelines. Identify gaps in data capture or data quality, and surface the value attached to filling those gaps. Perform deep dive analysis of key business trends from different perspectives and package the insights into easily consumable presentations and documents using visualization tools such as Tableau. Serve as critical Data Science subject matter expert, initiate methodology discussions with relevant stakeholders, and provide final Data Science recommendations. Remote work permitted five (5) days a week from within New York area, NY. QUALIFICATIONS: Master’s degree (foreign equivalent degree acceptable) in Mathematics, Statistics, Computer Science, Engineering, Machine Learning, Information Science or related field and two (2) years of experience in a data science role. Must have two (2) years of experience in/with: advanced coding in Python and SQL; code development using Git and code versioning; cloud-based environments, including AWS; Microsoft Excel or Google Sheets; and Tableau; building and maintaining Machine Learning or Deep Learning based methodologies. Remote work permitted five (5) days a week from within New York area, NY. Salary: $119,600 to $155,000/year, M-F, 40 hours a week. About Nielsen: Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. #LI-DNI #IND-DNS \n \n

___ empowers hospitals with an advanced care delivery operations platform, leveraging intelligent data analysis, predictive insights, and AI-driven recommendations. By holistically assessing operational factors, we help healthcare organizations: Optimize resource allocation Adapt to fluctuations in patient flow and demand Enhance operational efficiency Improve care coordination and delivery Our recent growth highlights: Team expansion from 70 to 130 professionals Quadrupled Annual Recurring Revenue (ARR) Strong capital efficiency, backed by a $___ investment from Goldman Sachs Now targeting $100M+ ARR, we’re seeking a skilled Data Scientist to help drive our next phase of growth. \n In this role, you’ll: • Model RSSI-BLE signals to enable digital asset tracking and contact tracing solutions., • Analyze real-time sensor data (e.g., time series, histograms) using statistical and deep learning methods to extract actionable insights., • Experiment with input signals and metadata (e.g., device models, power levels, signal strength) to improve accuracy and performance., • Leverage machine learning and cloud technologies to build scalable data science solutions., • Collaborate closely with product leaders and subject matter experts to develop analytics-driven solutions, enhance product features, and address business challenges. Job Requirements • University degree in Computer Science, Mathematics, Statistics, AI, Physics, or a related field., • Proven experience applying advanced analytics and machine learning to real-world business challenges., • Proficiency in Python programming., • Strong knowledge of data science and machine learning concepts, including:, • Clustering, regression, classification, and forecasting., • Neural networks and hyperparameter optimization., • Stochastic real-time data modeling and anomaly detection., • Data storytelling and visualization skills using tools like Apache Superset, Tableau, or QuickSight., • Customer-focused, results-oriented mindset with creative problem-solving skills., • Start-up mentality, with the ability to adapt quickly and take initiative., • Ability to work independently and deliver complex projects. \n We Make Things Easy Easy to Use. Simplicity is harder than complexity. Each of our apps focuses on a single user and a specific problem. We create solutions for everyone to help them get things done. Easy to Buy. We simplify pricing with a single, per-bed or per-room model that encompasses all the necessary products and services to achieve your desired outcomes. Easy to Deploy. Using AI, cloud, and mobile technologies, our equipment autonomously communicates and validates itself without the need for human intervention, cutting deployment time from months to weeks or even days. We Deliver Fast Outcomes Industry’s #1 Time To Value. We accelerate your ROI and deliver positive outcomes to users faster than anyone else, thanks to how easy things work with our AI- and cloud-based platform. Delivered As A Service. Delivering everything from devices to apps to support, our as-a-service model allows you to add new use cases with a simple click. Gain agility and speed like never before. Outcome Driven. We deliver outcomes, not boxed equipment. From on-site installation to monitoring, all the way to service-level agreements, our approach is uniquely designed to ensure the outcomes you need. We Ensure Unmatched Scalability Priced for Scaling. We offer scalable pricing, regardless of your project size. Enabling our customers to create value cost-effectively is a key element of our success. A Platform for Scaling. Lower TCO, quicker adoption of new use cases, extensive cloud scalability, and future-proofing your IT investments are among the many reasons why ___ is right for you. Managed for Scaling. SOC-2 and HIPAA compliant, our platform integrates with your wireless and security infrastructure, allowing you to use your current IT network with confidence and uninterrupted functionality.

OUR STORY: Equinox Group is a high growth collective of the world's most influential, experiential, and differentiated lifestyle brands. We restlessly seek what is next for maximizing life - and boldly grow the lifestyle brands and experiences that define it. In addition to Equinox, our other brands, SoulCycle and Equinox Hotels are all recognized for inspiring and motivating members and employees to maximize life. Our portfolio of brands is recognized globally with locations within every major city across the United States in addition to London, Toronto, and Vancouver. OUR CODE: We are passionate about high performance living and we practice what we preach – investing time in our own health and fitness. We believe that everyone has untapped potential within them and it takes a disruptive approach to unleash it. We dream big and don’t settle for the status quo. We sweat the details. We never accept less than 110% to help each other deliver the Equinox experience and enable our members to get great results. We are obsessed with what’s new, what’s now, what’s next. Never following, always leading, and living ahead of the moment in fashion, culture, and consumer behavior. We aren’t just a company; we’re a community vested in each other’s success. We value humility and a team approach at every level of the company. If you are a high performing individual who is passionate about winning and inspiring others then we are excited to discuss career opportunities with you. We are seeking an experienced Data Scientist to join our team in developing and implementing advanced analytics solutions and recommendation systems. This role will focus on creating forecasting and classification models to drive business decisions, particularly in the domains of sales optimization and customer retention. As a Data Scientist on our team, you will be responsible for developing and maintaining a diverse portfolio of machine learning models, including classification, forecasting, and regression systems for critical business applications. A key focus of this role will be creating and implementing propensity models to help optimize our conversion funnels. You'll also build predictive models for attrition analysis and lifetime value estimation. The role involves extensive data exploration and analysis to support various business initiatives, working in close collaboration with our Sales, Marketing and Operations teams to understand and meet their requirements. You'll focus on automating and productionizing machine learning pipelines to ensure scalable solutions while also designing and executing experiments to measure them. Your expertise will be instrumental in driving data-driven decision-making processes across the organization. You will also be heavily involved in building content recommender systems, generative AI applications, A/B testing, natural language processing, data product development, and data platform development. Experience with developing and deploying data pipelines, software development, writing unit tests, git, CI/CD, and DAG tools will be valuable skills towards these initiatives. You will work closely with fellow data scientists, analysts, data engineers, and product managers on the broader tech team. This role reports to the Head of Data Science. • A degree in a computational field (Ph.D. preferred), • 3+ years of experience in Data Science, ML Engineering or related field, • Expertise in building models to aid business forecasting and decisions (e.g., lifetime value, churn, seasonality, likelihood to convert, utilization, pricing), • Expertise with optimization algorithms and problem formulation, • Expertise in measuring predictions via A/B tests and other experiments, • Exceptional Python experience as well as common libraries for data exploration, data cleaning, machine learning and statistical analyses, • Advanced SQL, • Databricks, • Recommender systems, • Natural Language Processing, • Cloud infrastructure (we work on AWS and deploy infrastructure using Terraform. Common services we user are Athena, Redshift, Lambda, Dynamo, S3, API Gateway, CloudWatch, Bedrock, Amazon Personalize), • Event-driven and batch data pipeline architectures, • Workflow orchestration tools (we use Prefect and Rundeck), • Version control (we use GitHub), • CI/CD build and deployment tools (we use Travis and Jenkins), • Writing unit tests, • Proven track record in developing and deploying machine learning models and predictive software applications AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • Complimentary Club membership Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at ___ All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

The New York City Department of Health and Mental Hygiene (DOHMH) is expanding home visiting in NYC and streamlining how providers, organizations, and community residents can access quality home-visiting services. The goal is to improve maternal and child health and well-being by matching families' assessed risks to evidence-based (EB) or evidence-generating (EG) home visiting (HV) models that are most appropriate for them based on their needs, and to connect them to other resources as needed. Racial, ethnic, and socioeconomic inequities create disparate outcomes in certain neighborhoods as compared with the rest of the city, and providing services beginning in the prenatal through postpartum period is vital to improving these outcomes. In addition, recent attention to inequities in maternal morbidity and mortality, especially in New York City, points to the need for more respectful maternity care and greater agency for people during childbirth, both of which the program's staff will facilitate, in partnership with NYC doula organizations. DOHMH's New Family Home Visits (NFHV) is an innovative initiative that will strengthen how we will serve families from pregnancy through the postpartum period. Through the NYC Coordinated Intake and Referral System NYC CI&R) we are streaming the manner in which clinical and community-based providers can connect their families to home visiting services. A subset of families will also be offered labor and delivery support by a certified doula. NFHV incorporates a strong mental-health and chronic-disease focus, including screening for diabetes, hypertension, maternal depression, and anxiety, along with referrals to needed services. The citywide program will continue to serve families residing in DHS shelters as well as families residing in the Taskforce on Racial Inclusion and Equity (TRIE) neighborhoods and residents of NYCHA. These are neighborhoods and communities burdened by adverse maternal and child health outcomes will be prioritized; however, all first-time expectant parents are eligible. DUTIES WILL INCLUDE BUT NOT BE LIMITED TO: Oversee data quality assurance, including data checking, cleaning, recoding of variables and create and maintain SAS programs and datasets. Perform analysis of program and Unit data, run routine reports, collaborate with program staff to develop metrics to measure success and outcomes. Support and collaborate with the Research and evaluation Unit on program evaluation and preparation of reports and responses to internal and external stakeholders, including Agency, Divisional and Bureau leadership. Produce tables, graphs, charts, and reports as requested for monitoring of program implementation quality and for use in presentations and reports. Document all processes and procedures utilized in creating and maintaining database(s). Collaborate with technology platform model developers, as needed, to support the development of the Program database and refinement maintenance of the Coordinated Intake and Referral System databases to ensure they are accessible and usable in support of program operations. Train other staff, as needed, in data entry and data support procedures. Maintain up-to-date understanding of relevant data security and compliance protocols. Collaborate with relevant Bureau and Program staff to identify conference and journal submission opportunities. Attend project-specific meetings. Perform other related duties associated to the work described. PREFERRED SKILLS: Knowledge of maternal and infant health and home visiting programs Proficient in SAS Strong writing skills with experience in writing publications, presenting and prepare public facing documents Excellent Communication skills Ability to work on a multi-disciplinary team Why you should work for us: • Work From Home Policy: Depending on your position, you may be able to work up to two days during the week from home., • Job Security - you could enjoy more job security compared to private sector employment and be able to contribute to making NYC a healthy place to live and work. Established in 1805, the New York City Department of Health and Mental Hygiene (NYC Health Department) is the oldest and largest health department in the U.S., dedicated to protecting and improving the health of NYC. Our mission is to safeguard the health of every resident and cultivate a city where everyone, regardless of age, background, or location, can achieve their optimal health. We provide a wide array of programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and social justice initiatives. As the primary population health strategist and policy authority for NYC, with a rich history of public health initiatives and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 pandemic, we serve as a global leader in public health innovation and expertise. Come join us and help to continue our efforts in making a difference in the lives of all New Yorkers! The NYC Health Department is an inclusive equal opportunity employer committed to providing access and reasonable accommodation to all individuals. To request reasonable accommodation to participate in the job application or interview process, contact Sye-Eun Ahn, Director of the Office of Equal Employment Opportunity, at ___ or 347-396-6549. CITY RESEARCH SCIENTIST - 21744 2. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or, 3. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or, 4. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above. NOTE: Probationary Period Appointments to this position are subject to a minimum probationary period of one year. The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

At Oura, our mission is to empower every person to own their inner potential. With our award-winning Oura Ring and app, we help over 2.5 million people turn insights about sleep, activity, and readiness into healthier, more balanced lives. We believe that starts from within — by creating a culture where our team feels supported, included, and inspired to do their best work. ___ guide how we show up for each other and our community every day. We are looking for a Staff Machine Learning Data Scientist to join our Science team. This high-impact role will focus on building robust, scalable, and accurate physiological machine learning models from large-scale wearable and health datasets. You’ll work closely with cross-functional partners across product, software engineering, and testing teams to develop the next generation of Oura's health insights. This is a remote US role with a slight preference for candidates based on the East Coast. We have offices in San Francisco and San Diego for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations. What you will do: • Design and develop scalable data generation pipelines that prioritize robustness, reproducibility, and quality across diverse physiological signals., • Research, prototype, and implement novel ML architectures for large-scale time-series modeling of health and physiological data., • Build scalable training pipelines to support high-throughput model development and iteration., • Design comprehensive evaluation strategies for model performance and clinical validity., • Collaborate cross-functionally with engineering, product, and validation teams to bring scientific models to production., • Have a PhD in machine learning, artificial intelligence, biomedical engineering, or a closely related field., • Bring 5+ years of relevant industry experience (post-PhD) working with applied ML in a product setting., • Have hands-on experience developing and deploying large time-series models, especially those built on sequential physiological or wearable data., • Demonstrate strong programming skills in Python and experience with cloud-based ML (e.g., AWS, Github, Pytorch, Docker)., • Possess a deep understanding of scalable ML workflows, including data pipelines, evaluation frameworks, and deployment to production., • Self-starter and vision-driven with strong collaboration and communication skills and thrive in cross-functional settings., • (Bonus) Have a background in physiology, health sensing, or digital biomarkers., • (Bonus) Have experience shipping ML models in production environments and conducting real-world validation. At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: • Competitive salary and equity packages, • Health, dental, vision insurance, and mental health resources, • An Oura Ring of your own plus employee discounts for friends & family, • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off, • Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. • Region 1 $182,000 - $228,000, • Region 2 $169,000 - $211,000 We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: • Our jobs are listed only on the ŌURA Careers page and trusted job boards., • We will never ask for personal information like ID or payment for equipment upfront. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

permanent Position: Data Scientist Company Overview: Florvets Structures is a leading construction company specializing in the design and construction of innovative and sustainable structures. We are committed to delivering high-quality projects that exceed our clients' expectations and contribute to the betterment of communities. Job Overview: We are seeking a highly skilled and experienced Data Scientist to join our team. As a Data Scientist at Florvets Structures, you will be responsible for analyzing complex data sets to identify patterns, trends, and insights that will inform our business decisions. You will work closely with our project managers, engineers, and other team members to develop data-driven solutions that will improve our processes and drive business growth. Key Responsibilities: • Collect, organize, and analyze large and complex data sets from various sources, • Develop and implement data models and algorithms to extract insights and create predictive models, • Identify patterns and trends in data and communicate findings to relevant stakeholders, • Collaborate with project managers and engineers to develop data-driven solutions that improve project efficiency and quality, • Develop and maintain data dashboards and reports for tracking project performance and identifying areas for improvement, • Stay up-to-date with industry trends and advancements in data science and bring new ideas and techniques to the team, • Ensure data integrity and security by following best practices and implementing necessary protocols, • Present findings and recommendations to senior management and other stakeholders in a clear and concise manner Qualifications: • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field, • Minimum of 3 years of experience as a Data Scientist or in a similar role, • Strong proficiency in data analysis and statistical modeling, • Proficiency in programming languages such as Python, R, and SQL, • Experience with data visualization tools such as Tableau or Power BI, • Knowledge of machine learning techniques and algorithms, • Excellent communication and presentation skills, • Strong problem-solving and critical thinking abilities, • Ability to work independently and in a team environment, • Experience in the construction industry is a plus Why Join Florvets Structures: • Opportunity to work on innovative and sustainable projects, • Collaborative and supportive work environment, • Competitive salary and benefits package, • Career growth and development opportunities, • Make a positive impact on communities through your work If you are a highly motivated and skilled Data Scientist looking to join a dynamic and growing company, we encourage you to apply for this exciting opportunity at Florvets Structures. We look forward to hearing from you! Health Insurance Workers Compensation

ABOUT FANDUEL FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product. In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico. The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT). THE POSITION Our roster has an opening with your name on it FanDuel is looking for a data scientist who specializes in marketing modeling to join our team. In this role you will develop and evolve our internal marketing mix model, help create a roadmap to support its evolution, and deliver actionable insights driving business and marketing KPI. This role requires a strong background in data science, machine learning, and a deep understanding of marketing analytics. It is expected in this role to take ownership of open-ended ambiguous problems and reach an optimal solution by narrowing multiple options into the best approach. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs. THE GAME PLAN Everyone on our team has a part to play • Develop and manage mix models to report on effectiveness of campaigns across all our products, • Build robust predictive models, showing capabilities of feature and model selection; develop, iterate and take to production advanced machine learning models, • Identify appropriate tools, systems, and models to solve large data problems and improve efficiency in the data infrastructure; choose the 'best' approach given available resources, • Create tools and models to generate actionable insights on Marketing campaigns, • Troubleshoot and resolve coding and modeling problems presented by others, • Work with agencies, vendors and in-house data engineers to source and manage all the data elements required for marketing mix modelling and channel attribution, • Partner with decision-makers across the company to understand their goals, identify opportunities to use data to develop new insights, and improve business results, • Present to senior leaders confidently and with impact THE STATS What we're looking for in our next teammate • Minimum of 5 years of industry experience in data science, analytics or engineering preferred, • Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data science preferred, • Strong analytical and quantitative skills, with high proficiency in Python and SQL (or coding language of choice), • Experience creating and managing models for marketing mix and channel attribution, • Experience with Databricks or similar cloud-based data science platform. Bonus points for experience optimizing compute based on model specifications, • Experience with Git, at least familiar with concepts such as branches, commits, and pull requests, • Familiarity with on- and off-line marketing data, • Experience using simulations for scenario analysis and recommendations, • Experience delivering model result to business users and have recommendation implemented, • Knowledge of sports and/or experience working within a heavily regulated industry is a plus, • Strong verbal and written communication skills – demonstrable track record of influencing marketing strategy through your insights PLAYER BENEFITS We treat our team right We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: ___. *Benefits differ across location, role, and level. FanDuel is an equal opportunities employer and we believe, as one of our principles states, "We are One Team!". As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. The applicable salary range for this position is $149,000 - $195,300 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. #LI-Hybrid

Hiring Rate: $72,192.00 (Flat Rate) The mission of the Bureau of Tuberculosis Control is to prevent the spread of tuberculosis and to eliminate it as a public health problem in New York City. Reporting to the Director of Disease Investigation and Case Management (DICM) the Data Analyst will perform data analysis on case management activities captured in the TB registry to generate reports, identify and track trends, area of concerns, and conduct routine quality assurance reviews. DUTIES WILL INCLUDE BUT NOT BE LIMITED TO: • Perform medium to high level data analysis on case data entered in the Electronic Disease Surveillance System (TB registry)., • Prepare routine and episodic reports including but not limited to, monthly case management activity statistics, Monthly DOT statistics, quarterly report for NY State, and CDC reports, etc., • Perform medium to high level quality assurance on CM data and identify trends., • Perform DICM evaluation activities and assist with DICM research efforts, • Maintain, /manage DICM data files, spread sheets and databases. PREFERRED SKILLS: • Excellent data management skills, experience cleaning, manipulating and analyzing large data set using statistical software such as SAS, SQL and R., • Strong oral and written communication skills and comfortable in preparing and delivering presentations to medium to large groups., • Strong problem- solving skills., • Ability to manage competing priorities and track progress to adhere to set timelines., • Proficient in using Microsoft Excel, Word, and PowerPoint., • Excellent interpersonal skills., • Ability to handle multiple and diverse assignments. Why you should work for us: • Work From Home Policy: Depending on your position, you may be able to work up to two days during the week from home., • Job Security - you could enjoy more job security compared to private sector employment and be able to contribute to making NYC a healthy place to live and work. Established in 1805, the New York City Department of Health and Mental Hygiene (NYC Health Department) is the oldest and largest health department in the U.S., dedicated to protecting and improving the health of NYC. Our mission is to safeguard the health of every resident and cultivate a city where everyone, regardless of age, background, or location, can achieve their optimal health. We provide a wide array of programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and social justice initiatives. As the primary population health strategist and policy authority for NYC, with a rich history of public health initiatives and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 pandemic, we serve as a global leader in public health innovation and expertise. Come join us and help to continue our efforts in making a difference in the lives of all New Yorkers! The NYC Health Department is an inclusive equal opportunity employer committed to providing access and reasonable accommodation to all individuals. To request reasonable accommodation to participate in the job application or interview process, contact Sye-Eun Ahn, Director of the Office of Equal Employment Opportunity, at ___ or 347-396-6549. CITY RESEARCH SCIENTIST - 21744 2. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or, 3. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or, 4. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above. NOTE: Probationary Period Appointments to this position are subject to a minimum probationary period of one year. The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

Luminary Group is currently partnered with a leading life science company who are seeking a highly skilled and experienced Senior Data Scientist with expertise in Real World Evidence (RWE) to join their team. As a Senior Data Scientist, you will be responsible for driving the analysis and interpretation of real-world data to generate valuable insights and support evidence-based decision making in the healthcare industry. • Lead and guide the development and implementation of data mining and statistical modeling techniques to analyze complex real-world evidence (RWE) datasets., • Preprocess and clean large-scale real-world data to ensure data quality and integrity., • Apply advanced statistical and machine learning algorithms to extract meaningful insights and patterns from RWE data., • Develop predictive models to forecast outcomes and trends based on real-world evidence., • Collaborate with cross-functional teams to interpret analysis findings and communicate results to stakeholders., • Stay up-to-date with the latest research and advancements in data science and real-world evidence., • Implement data visualization techniques to effectively communicate analysis results., • Lead the development of data-driven products and solutions for the healthcare industry., • Mentor and provide guidance to junior data scientists., • Bachelor's degree in data science, computer science, statistics, or a related field; advanced degree preferred., • Minimum of 5 years of experience as a Data Scientist, preferably with a focus on real-world evidence (RWE) and the healthcare industry., • Proven track record of successfully leading and implementing data science projects., • Strong knowledge of data mining, statistical modeling, and machine learning algorithms., • Proficiency in programming languages such as Python or R for data manipulation and analysis., • Experience with data visualization tools, such as Tableau or Power BI., • Solid understanding of database systems and SQL for data querying and manipulation., • Excellent analytical and problem-solving skills, with the ability to find insights in complex datasets., • Strong communication and collaboration skills, with the ability to work effectively in a team environment., • Experience with healthcare data and familiarity with healthcare data standards is highly desirable., • Understanding of regulatory requirements and ethics related to data analysis in healthcare.

ORGANIZATIONAL PROFILE: The Mayor’s Office of Community Mental Health (OCMH) coordinates and develops citywide policies and strategies to fill critical gaps in mental healthcare so every New Yorker, in every neighborhood, has the support they need. OCMH was codified into the City Charter by Executive Order 68 and Local Law 155 by the City Council in December of 2021, becoming the first mayoral office dedicated to addressing the mental health of New Yorkers. OCMH coordinates the development of citywide policies and strategies to fill critical gaps and reduce barriers in mental healthcare with a focus on underserved communities. OCMH’s priorities are rooted in equity, racial justice, and cultural responsiveness. It adopts a strength-based and community-centered approach that recognizes diverse perspectives, lived experiences, resilience, and the unique needs of New Yorkers. OCMH’s priorities are: • Improving Access to Mental Health Care and Equitable Distribution of Resources, • Partnering with Communities to Elevate Mental Health Promotion and Community Resilience, • Building and Supporting the Behavioral Health Workforce in NYC, • Developing a Coordinated Mental Health Crisis Response System Overall, OCMH plays a critical role in advancing mental health services and policies in the community, and its work is instrumental in improving mental health outcomes for all New Yorkers. JOB RESPONSIBILITIES: The Mayor’s Office of Community Mental Health is seeking a Data Analyst that will support the development of a portfolio of critical research and evaluation projects related to the Office’s work and priorities. The Data Analyst will report to the Director of Research. The ideal candidate will be passionate about community mental health and have excellent analytic and project management skills. Additionally, the Data Analyst will have the following main responsibilities: • Work closely with the Director, Research, along with the Mental Health Access and Strategic Initiatives teams to set priorities for collecting, managing and analyzing data, • Skillfully employ quantitative methods to perform analytical tasks such as data querying, analysis, and report generation, ensuring accuracy, timeliness, and clear presentation., • Develop Key Performance Indicators (KPIs) to assess the impact of policies and construct informative management dashboards., • Deliver comprehensive documentation and support to end users on relevant metrics and processes., • Contribute to the refinement of programmatic outcome measures and support performance management and reporting when needed, • Summarize key research findings on particular issues related to the Office priority areas- scanning and summarizing (for an internal audience) the evidence for effective interventions that address the City's mental health needs, • Support in preparing materials for public reporting by the office, • Incorporate community input and feedback into OCMH data collection and evaluation efforts, to ensure they are guided by an equity perspective. Preferred Qualifications: • A baccalaureate degree in social science, behavioral science, health services, mental health or relevant discipline; an advanced degree is a plus,, • 2+ years of experience in the fields of public health, community mental health or a relevant field preferred, • Experience working in government a plus, • Ability to think critically and strategically, consider multiple perspective, articulate priorities, and execute plans to achieve OCMH’s strategic priorities as related to research and evidence building., • Excellent interpersonal and coordination skills, including the ability to work as part of a highly collaborative team within the organization and build positive rapport with key stakeholders across agencies and externally, • Demonstrated cultural proficiency and experience working with communities of color in urban, underserved neighborhoods that bear a disproportionately high burden of illness and premature death Preferred Skills: • Strong quantitative and problem solving skills, • Excellent written and oral communication skills., • Knowledge of a programming language like SQL, Python or R., • Understanding of data warehouses, data lakes, and other data storage locations, • Proficiency in Microsoft PowerPoint, Excel, Power Query and Access, • Experience with data visualization tools, such as Tableau or Power BI., • Working knowledge statistical packages (e.g. R or SPSS), • Working knowledge of Geographic Information Systems (e.g., ArcGIS, Carto, or R) preferred. Why you should work for us: • Work From Home Policy: Depending on your position, you may be able to work up to two days during the week from home., • Job Security - you could enjoy more job security compared to private sector employment and be able to contribute to making NYC a healthy place to live and work. Established in 1805, the New York City Department of Health and Mental Hygiene (NYC Health Department) is the oldest and largest health department in the U.S., dedicated to protecting and improving the health of NYC. Our mission is to safeguard the health of every resident and cultivate a city where everyone, regardless of age, background, or location, can achieve their optimal health. We provide a wide array of programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and social justice initiatives. As the primary population health strategist and policy authority for NYC, with a rich history of public health initiatives and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 pandemic, we serve as a global leader in public health innovation and expertise. Come join us and help to continue our efforts in making a difference in the lives of all New Yorkers! The NYC Health Department is an inclusive equal opportunity employer committed to providing access and reasonable accommodation to all individuals. To request reasonable accommodation to participate in the job application or interview process, contact Sye-Eun Ahn, Director of the Office of Equal Employment Opportunity, at ___ or 347-396-6549. CITY RESEARCH SCIENTIST - 21744 2. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or, 3. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or, 4. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above. NOTE: Probationary Period Appointments to this position are subject to a minimum probationary period of one year. The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2025 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team? About The Role As a senior data scientist on the Risk and Data Science team, you will be responsible for data science projects in the risk domain. You will be directly developing machine learning models with the goal of maximizing customer LTV (Lifetime Value). What You’ll Do • Develop and implement cutting-edge risk management models, leveraging advanced statistical and machine learning techniques to effectively manage fraud/ credit financial loss on both consumers and partners sides., • Work on the ed-to-end life cycle data science projects, from data collection and preprocessing to model development and deployment., • Design and build model monitoring system and model governance., • Collaborate cross-functionally with key stakeholders to understand business objectives and translate them into actionable data science strategies., • Collaborate with engineers, compliance and product to deploy models., • Stay up to date with the latest developments in data science and machine learning and evaluate how they can be applied to enhance our lending processes., • Experience in both the credit and fraud domain is a plus. Key Qualifications • 5+ years of relevant data science experience is required., • Proficiency in Python, SQL, or another analytical tool is a must., • Experience in developing risk models and consumer behavior models., • Proficiency in statistical analysis, machine learning, and data visualization tools., • Experience collaborating with cross-functional teams and effectively communicating data-driven recommendations to non-technical stakeholders., • In-depth knowledge of model governance principles and practices., • Advanced degree in a quantitative field such as statistics, mathematics, or computer science. This is a hybrid position with on-site expectations of 3 days per week in our New York Headquarters. For candidates outside the NY/NJ area, you may be eligible for our relocation assistance program. The salary compensation range for this role will be commensurate with the candidate's experience and Flex's internal leveling guidelines and benchmarks. For working locations in NY/NJ/CA, the base salary pay range will be $161,000-175,000 Life at Flex: We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace. We offer many employee benefits. For full time, U.S. based employees we offer: • Competitive pay, • 100% company-paid medical, dental, and vision, • 401(k) + company equity, • Unlimited paid time off + 13 company paid holidays, • Parental leave, • Flex Cares Program: Non-profit company match + pet adoption coverage, • Free Flex subscription For full time non-US employees, we offer • Competitive Pay, • Company Equity, • Unlimited PTO

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on ___ and ___, and discover the projects we’re solving on our ___. Be sure to explore our ___ to learn how to ace our interview process. The Community Discovery Machine Learning (CDML) team powers the systems that help millions of active viewers find the creators and communities they'll enjoy most. Powering the home page recommendations, browse, search, and feed ranking experiences, this team and its algorithms are at the heart of enabling the connections that make Twitch a great place for so many users. Data is critical to the algorithms that power the recommendation, search, and ranking systems. It's also critical to making decisions, especially working on systems that are themselves data-driven. As a Senior Data Scientist on the CDML team, you'll be responsible for helping drive improvements to the machine learning systems as well as analytics to drive decision-making. While there is a team of Applied Scientists building and shipping the algorithms themselves, data science can help improve these systems directly. In this role, you can identify and build new signals to input into the models. We're also working on the value model that the algorithm optimizes, and your input will be critical to understanding the tradeoffs and balancing multiple objectives in a scientific way. We also still have big unanswered analytics questions to solve. How often do viewers just want to get to the content they already know they want to watch, and when are they open to exploring new channels? These are the sorts of questions you'll be tackling. You can work in San Francisco, CA; New York, NY; or Seattle, WA. • Inform product strategies by defining and updating core metrics for each initiative, • Estimate the opportunity sizing of new features the team could take on, • Identify and build new signals to incorporate into the algorithms driving recommendations, search, and feed ranking at Twitch, • Identify metric tradeoff ratios that help inform value model choices, long-term impact from early-growth-funnel users, and other product decisions, • Establish analytical framework for your team: ad-hoc analysis, automated dashboards, and self-service reporting tools to surface key data to stakeholders, • Design A/B experiments to drive product direction with iterative innovation and measurement, • Work hand-in-hand with business, product, engineering, and design to proactively influence and inform teammates' decisions throughout the product life cycle, • Distill ambiguous product or business questions, find clever ways to answer them, and to quantify the uncertainty, • BA/BS in Analytics, Data Science, Computer Science, Mathematics, or equivalent industry experience, • 5+ years of experience as a data scientist or data analyst in a high velocity, data-driven environment, • 5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience, • Expert SQL skills and proficiency in Python/R, • Experience using data to create insight, drive business decisions and influence leadership, • MS/MA or higher in Analytics, Data Science, Computer Science, Mathematics, or a related technical field, • Experience working on algorithms powering large-scale consumer services, • Experience in a data science team working on customer software products, analytics, and insights, • Experience working with software development and operational event data, • Familiarity with Twitch, either as a viewer or creator (or both!), • Medical, Dental, Vision & Disability Insurance, • 401(k), • Maternity & Parental Leave, • Flexible PTO, • Amazon Employee Discount We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Twitch values your privacy. Please consult our ___, for information about how we collect, use, and disclose personal information of our candidates. Job ID: TW8683 Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit ___. Applicants should apply via our internal or external career site. US Pay Per Year$153,300—$247,400 USD

OffDeal is the world’s first AI-native investment bank for small businesses. Instead of selling AI to Goldman Sachs, we’re building what Goldman itself would have looked like if it launched in 2025. Wall Street's playbook works well, but only for billion-dollar deals - it breaks where most businesses actually exist. Traditional firms run oversized teams on outdated software, making smaller M&A transactions uneconomical. This leaves millions of small business owners with nowhere to turn for the most important sale of their lives… Until now. Our engineers built software to automate 80%+ of analyst work with AI, so our in-house bankers can focus where it counts - on earning owners’ trust and closing deals. We recently closed a $12M Series A ($17M in total funding) from Radical Ventures and Y Combinator and are scaling really fast. In less than a year, our team has already launched over 30 sell-side M&A transactions and has delivered numerous life-changing exits to our clients - and we’re just getting started. The Role As a Data Engineer, you'll be the architect of our data infrastructure, powering everything from AI-driven business valuations to strategic decision-making across the company, using data science. You'll work directly with our founders and cross-functional teams to build and maintain the data layer that enable our investment bankers to be 10x more productive. Your work will directly impact how we leverage data to transform the $10 trillion small business M&A market. What You'll Do * Build and maintain our core data infrastructure including Looker dashboards, BigQuery data warehouse, and all data pipelines from external and internal tools * Create product analytics dashboards that powers our business intelligence and lead generation efforts * Conduct data readouts for experiments and perform ad-hoc analyses to drive strategic decisions * Maintain and enhance OffDeal’s data lake by assessing new data vendors, cleaning and integrating external data sources, and improving accuracy of derived metrics using ML-based approaches * Build the golden datasets needed for effective prompt experimentation and A/B testing of LLM-based workflows * Improve search and ranking algorithms across all products * Handle all Revenue Operations infrastructure, including CRM data models, data hygiene, and marketing attribution to ensure clean, actionable business metrics We're Looking for Someone Who Has / Is a… * 3+ years of experience as a Data Engineer, Data Scientist, or similar role, at a technology company * Proficiency in SQL and experience with machine learning frameworks for data quality and ranking improvements * Experience working with a modern business intelligence data stack, especially BigQuery and Looker * Familiarity with of CRMs, marketing attribution, and revenue operations workflows * Experience with A/B testing frameworks and statistical analysis for product experimentation * High conscientiousness and meticulous attention to detail, ensuring data accuracy and reliability across all systems * Experience working with LLMs and prompt optimization is a plus Why Join OffDeal * We only hire best-in-class engineers, and are offering compensation to reflect it * Top-tier benefits, including medical, dental, vision, and unlimited PTO * 401K Matching * Perks like free food, Equinox membership, and NYC relocation allowance * Work with bleeding edge AI on a modern codebase * Opportunity to be a foundational team member at a well-funded, high-growth startup * Be part of a mission to shape the future of small business ownership and to promote American entrepreneurship

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 ___, • 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.

Eight Sleep is the world’s first sleep fitness company. Our mission is to fuel human potential through optimal sleep. We use innovative technology, detailed design, and proven science and data to personalize and improve each night for everybody—changing the way people sleep forever and for the better. With our flagship product, the Pod, we are addressing critical sleep issues such as temperature regulation, bed elevation, snoring reduction, and the wake-up experience. Hundreds of thousands of customers around the world sleep better every night thanks to the Pod. But we’re just getting started. We’re committed to developing more groundbreaking products to tackle additional sleep problems, changing the role sleep plays in our lives forever. We’re excited about the journey ahead and the impact we can make as we continue to innovate and expand our offerings to fulfill our mission. We are backed by leading Silicon Valley investors like YC Combinator, Founders Fund, Valor, and Khosla Ventures, and we have been recognized as one of Fast Company’s Most Innovative Companies in 2018, 2022, and 2023. The Pod was also recognized two years in a row by TIME's “Best Inventions of the Year.” We currently sell the Pod in the United States, Canada, the United Kingdom, Europe, and Australia. Before you apply Eight Sleep is an intense environment: we’re demanding and ambitious, which means we ask a lot of ourselves and one another. This means fantastic learning opportunities, achievements, and career growth, but it also requires a significant commitment. Our dedication, drive, and intensity rival those of Olympic athletes. At Eight Sleep, we embody Kobe Bryant’s mamba mentality: we always aim to be at the top 1% of what we do. If you’re looking for a 9-5, this is not for you. Our employees report working up to 60 hours per week. If you want to be challenged and pushed harder than ever before, we invite you to apply. About the role We are looking to hire an experienced Data Scientist with a passion for scaling consumer brands. The ideal candidate will combine strong analytical skills with marketing acumen to guide optimizations to our growth strategies. Reporting to the CFO, the candidate will have an exceptional track record working as an individual contributor with sales and marketing data to build complex predictive demand and Media Mix models. How you’ll contribute * Work closely with the CFO, CEO, Growth and Finance teams, providing insights into business opportunities for incremental revenue growth * Develop and maintain predictive models for sales growth, customer behavior and lifetime value * Create a Media Mix Model that allows us to assess various scenarios for allocating spend across our various channels * Lead the quantitative analysis to provide insights that help the CEO, CFO, and VP of Growth understand marketing performance and member behavior * Create and maintain dashboards for key marketing metrics * Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools * Identify opportunities for growth and efficiency in our marketing funnel * Translate complex data insights into actionable recommendations * Translate product objectives to data science problems and vice versa * Build analytical ETLs to power data science models Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own ___, along with*: * Full access to health, vision, and dental insurance for you and your dependents * Supplemental life insurance * Flexible PTO * Commuter benefits to ease your daily commute * Paid parental leave *List of benefits may vary depending on your location At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Please note: This role is open to applicants in the US, Canada, LATAM, UK, or Europe. Compensation (salary and equity) is competitive based on location.