Post job

Explore jobs

Find specific jobs

Explore careers

Explore professions

Best companies

Explore companies

Data scientist jobs in Union, NY - 2,130 jobs

All
Data Scientist
Data Engineer
Actuary
Senior Data Scientist
Data Architect
Actuarial Analyst
Analytical Data Miner
Data Science Internship

  • Principal Data Scientist, Agentic AI Professional Services

    Amazon 4.7company rating

    Data scientist job in New York, NY

    AWS is seeking an exceptional Principal Data Scientist to join our Agentic AI ProServe Experience (APEX) team. This role calls for an individual ready to tackle large-scale agentic AI challenges and drive innovative ML/AI practices that transform professional services delivery and address real-world customer needs. Reporting directly to the leader of APEX, this position is essential for revolutionizing AWS Professional Services' delivery capabilities through advanced agent-based AI systems. In addition to building ProServe Agents, you will driving their adoption across the ProServe builder community, enabling transformative customer engagements and partner enablement through AWS tools and services such as Kiro, AWS Transform, Strands, Bedrock, and Agentcore. The ideal candidate will possess extensive experience in agentic AI systems, multi-agent architectures, and complex data science environments, developing solutions that advance the state-of-the-art in agent-based professional services delivery. Proficiency with Machine Learning, Large Language Models, reinforcement learning, and advanced analytics techniques is essential, along with the ability to convey these technical concepts in simple terms to diverse stakeholders. The role demands both deep technical expertise and exceptional communication skills to drive adoption across the ProServe organization and partner ecosystem. Key job responsibilities Scientific Leadership * Define and drive the scientific vision and roadmap for ProServe Agents and the agentic AI professional services portfolio * Lead research and development initiatives to advance the state-of-the-art in agent-based AI systems for professional services workflows * Collaborate with senior scientists across AWS to pioneer novel approaches to agent learning, reasoning, and interaction * Publish innovative research at top-tier conferences and influence the broader scientific community * Evaluate emerging research and identify opportunities to integrate techniques into ProServe Agent architecture Technical Excellence * Architect complex multi-agent systems that can effectively understand, reason about, and execute professional services workflows at enterprise scale * Lead the integration of Gen AI and ML-based methods across ProServe delivery practices, spearheading AI-driven agent development and adoption initiatives * Establish rigorous evaluation frameworks and metrics for measuring agent effectiveness, safety, and business impact * Develop production-ready agentic solutions leveraging AWS tools including Kiro, AWS Transform, Strands, Bedrock, and Bedrock AgentCore Customer & Business Impact * Translate complex technical concepts into clear business value propositions for ProServe builders, customers, and partners * Lead high-visibility technical delivery for strategic customers, demonstrating ProServe Agent capabilities * Drive adoption of ProServe Agents across the AWS Professional Services builder community, transforming delivery methodologies * Enable AWS partners on agentic delivery mechanisms and best practices * Analyze complex enterprise problems and design AI agent solutions that deliver measurable business outcomes * Collaborate effectively with ProServe delivery teams, product, engineering, and design teams to create and launch innovative agent-based solutions Communicate complex agentic AI concepts clearly to diverse audiences across ProServe, customers, and partners Leadership & Mentorship * Provide thought leadership and technical direction on agentic AI strategies and their applications in professional services * Drive innovation by sharing new technical solutions and product ideas across AWS teams * Mentor and guide the data science, ML engineering, and ProServe builder communities * Foster collaboration with key stakeholders to enhance the AWS ProServe experience Basic Qualifications - Master's degree in Math, Statistics, Computer Science, or related Science field, or experience in data science, machine learning or data mining - Experience building machine learning models or developing algorithms for business application Preferred Qualifications - 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience - 4+ years of practical machine learning experience - 2+ years of working with or evaluating AI systems experience - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience debugging, profiling, and implementing best software engineering practices in large-scale systems - Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications - Have publications at top-tier peer-reviewed conferences or journals - Experience with AWS or cloud technologies - Experience in technical leadership of development, testing, and implementation of large-scale, complex technology projects - Experience driving collaborative projects from conception to delivery, or experience in development or technical support - Experience creating and delivering written and oral communications for technical and non-technical audiences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ******************************* . USA, CA, Mountain View - 217,800.00 - 294,700.00 USD annually USA, CA, San Diego - 189,400.00 - 256,200.00 USD annually USA, GA, Atlanta - 189,400.00 - 256,200.00 USD annually USA, MA, Boston - 189,400.00 - 256,200.00 USD annually USA, NY, New York - 208,300.00 - 281,800.00 USD annually USA, TX, Austin - 189,400.00 - 256,200.00 USD annually USA, TX, Dallas - 189,400.00 - 256,200.00 USD annually USA, VA, Arlington - 189,400.00 - 256,200.00 USD annually USA, WA, Seattle - 189,400.00 - 256,200.00 USD annually
    $92k-140k yearly est. 1d ago
    • Job icon imageJob icon image 2

    Looking for a job?

    Let Zippia find it for you.

  • Senior Data Scientist - Experimentation

    Apple 4.8company rating

    Data scientist job in New York, NY

    **Weekly Hours:** 40 **Role Number:** 200*********** At Apple, we work every day to create products that enrich people's lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads in App Store and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. Ads Experimentation team is seeking a Machine Learning Engineer and Statistician who will help drive innovation. This is a hands-on role for developing & supporting a state of the art ads experimentation platform. This role requires partnering with cross-functional teams to effectively coordinate the complex interdependencies inherent in application development. A successful candidate has strong technical skills and is eager to create intuitive user experiences; they have a keen eye for the details that surprise and delight our customers. While understanding our product features, you will perform rigorous analyses, measure performance and make data-driven decisions and develop scalable tools that facilitate quick and accurate decision making. **Description** Design and build a new generation of experimentation platform for the Ads Platform organization. Apply leading-edge technologies to enable safe and data driven launch of features that help connect Apple users and advertisers while delivering on Apple's privacy commitment through experimentation. Collaborate with stakeholders and data scientists to design experiments and statistical methods that account for the marketplace dynamics and yield reliable treatment effects. Provide expert technical guidance to engineers and scientists on statistical techniques, experiment design and data engineering. You will join and contribute to a culture that emphasizes observability and understandability, reliability, resiliency, simplicity, reusability, extensibility, scalability, velocity and productivity. We are one team, nurturing each other's growth and supporting each other in delivering for our customers and Apple. **Minimum Qualifications** + 8+ years of experience in software and data science or statistics with an in-depth understanding of SQL and causal inference. Industry experience in SDLC is preferred. + Analysis: Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights and improve treatment effect estimates. + Experience with A/B testing infrastructure and methodologies and deep understanding of the assumptions of randomized control trials. Experience in marketplace experimentation is a bonus. + Familiarity with causal machine learning tools and technologies. Well versed in observational causal techniques like regression, propensity score matching, Diff in Diff, regression discontinuity and instrumental variables. + Design and analyze controlled experiments or counterfactual causal inference studies to estimate the incremental and long term impact of interventions. Experience in measuring advertiser value from campaigns or algorithmic changes is a huge plus. + Proficiency in SQL and Pyspark or Scala to conduct analyses and build data products (pipelines and dashboards) to automate experiment reporting at scale. + Lead the design, development, and maintenance of scalable and reliable data pipelines. Implement robust data quality checks, monitoring systems, and data lineage tracking. Advocate best practices for data engineering. + Strategic Partnership: Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high-impact questions. **Preferred Qualifications** + Advanced Degree in Computer Science, Statistics, Applied Math or related field. + Skilled at operating in a cross-functional organization. + Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action. + Curious business attitude with a proven ability to seek projects with a sense of ownership. + Excellent communication, social and presentation skills. + Desire to work in a fast-paced and challenging work environment. + Mentor junior engineers and scientists on the team. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (*********************************************************************************************** .
    $122k-162k yearly est. 1d ago

  • Lead Data Scientist (AI/ML/NLP)

    4 Staffing Corp

    Data scientist job in New York, NY

    About the job Lead Data Scientist (AI/ML/NLP) Our client is in search of a talented Lead Data Scientist to play a pivotal role in reshaping their approach to data-driven decision-making and innovation. In this role, you will collaborate with cross-functional teams to develop cutting-edge data science solutions using machine learning and artificial intelligence. Your contributions will drive enterprise-wide innovation, enhance risk management, and improve overall financial performance. Qualifications: Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics, or related field. PhD with 6+ years of experience or Master's degree with 8+ years of experience, preferred. 7+ years of hands-on ML modeling/development experience. Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP). Hands-on experience with GPU, distributed computing, and applying parallelism to ML solutions. Strong programming skills in Python including PyTorch and/or Tensorflow. Solid background in algorithms and a range of ML models. Experience leading teams of four or more Data Scientists. Excellent communication skills and the ability to collaborate cross-functionally with Product, Engineering, and other disciplines at both leadership and hands-on levels. Excellent analytical and problem-solving abilities with superb attention to detail. Proven leadership in providing technical guidance and mentoring to data scientists, with strong management skills to ensure enterprise success. Locations: Northeastern USA - Hybrid/Remote (2-3 days per/week)
    $83k-117k yearly est. 1d ago

  • Data Scientist

    Agentio Inc.

    Data scientist job in New York, NY

    About Agentio Agentio enables marketers to buy creator led ads as easily and scalably as Meta or Google ads-automating sourcing, pricing, contracting, delivery, and measurement with AI-so work that took months now happens in minutes. We're on a mission to transform a $800B digital ad ecosystem by shifting digital ad spend into the hands of creators. That means better outcomes for marketers and enabling creators to live off their work-finally being paid in proportion to the value they create. That shift is accelerating: Unilever's CEO has said the company will move roughly half of its ad budget into social and creators-Unilever is among the world's largest advertisers, spending around $9-10B annually. As these dollars move, they need performance-grade pipes; Agentio is how those dollars flow to creators with the speed, control, and measurement marketers expect. We enable brands like Uber, DoorDash, and Bombas to run creator campaigns with the same rigor, control, and accountability as their core performance channels. Agentio has raised $56M to date at a $340M valuation, including a recent Series B led by Forerunner, which followed our Series A within a calendar year. Our investors also include Benchmark, Craft, and AlleyCorp. Agentio has been named to Forbes' Next Billion Dollar Startups, 2025, and our platform is already used and loved by the world's leading marketers and creators. We are just getting started! Data is Our Growth Engine Our platform routes budgets to the right creators, at the right price, with clear attribution. We ingest rich first-party signals across creative briefs, audiences, content, and outcomes; link them to conversions; and train LLM-driven ranking and pricing models that guide every step-from discovery and acceptance likelihood to pacing and scale. Each campaign feeds back new data, creating a compounding learning loop that makes matching, forecasting, and measurement more efficient with every use. We're expanding our data practice and hiring foundational teammates. Whether you analyze behavior, model outcomes, run experiments, or build robust data and ML tooling, you'll have an immediate impact-shaping product decisions, improving measurement, and delivering the pipelines and services that power the platform. At Agentio, data drives decisions-what we build, how we price, and where we scale-so creators and brands win together. If you're curious, collaborative, and excited to own outcomes in a fast-moving environment, let's talk. You Nimble, hungry, humble, and adaptive to change Excited to learn and grow in a fast-paced environment Proven track record of applying analytical/statistical methods to tackle real-world problems using big data. A true problem-solver and self-starter, with incredible ambition and drive Competitive and highly motivated to exceed expectations Ready to roll up your sleeves, get things done, and work harder than you've likely ever worked before - with far greater reward A positive, honest, empathetic, and curious teammate You understand that Agentio is building in-person, and is in-office 5 days/week What You'll Get The opportunity to build a first-of-its kind business as an early team-member and make a meaningful impact in the way brands share their stories and creators live off their work. Crash-course in what it takes to scale a start-up with first-hand exposure to the different foundational business drivers and needs. The chance to work with an exceptional team and help build our engineering culture A collaborative, transparent, and engaging work environment. Benefits & Perks Flexible PTO - Take the time you need to recharge Comprehensive Health Coverage - Top medical plan through Aetna Dental & Vision Plans - Protect your smile and your sight with coverage from Guardian 401(k) Retirement Plan - Invest in your future while you build your career $100 Monthly Lifestyle Credit - Use it to shop with our amazing Agentio Brand Partners Free Lunch 3x a week! - We order lunch as a team on Mondays, Wednesdays, and Fridays Gym in the building! - Your workout, right downstairs The estimated base compensation for this role is between $225,000 & $350,000. Individual compensation is determined by skills, qualifications, and experience. In addition, this role is eligible for equity and competitive benefits.
    $83k-117k yearly est. 1d ago

  • Lead Data Scientist

    Airops

    Data scientist job in New York, NY

    AirOps helps brands get found and stay found in the AI era. As the first end-to-end content engineering platform, we give marketing teams the systems to win visibility across traditional and AI search with one durable advantage: quality. Thousands of marketers use AirOps to see how their brand shows up across the new discovery landscape, prioritize the highest-impact opportunities, and create accurate, on-brand content that earns citations from AI platforms and trust from humans. We are building the platform and profession that will equip a million marketers to lead the next chapter of marketing, where creativity and intelligent systems work together and quality becomes the strategy that lasts. AirOps is backed by Greylock, Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, Alt Capital, and more than a dozen top marketing leaders, with hubs in San Francisco, New York, and Montevideo. About the Role As Lead Data Scientist at AirOps, you'll shape how brands win in AI-driven search environments through advanced machine learning and data science. This role combines technical depth with strategic thinking: you'll build production-grade ML systems that directly impact how companies create and optimize content for AI agents and improve their search visibility. You'll work at the intersection of NLP, search algorithms, and large language models to create solutions that help content teams drive measurable business results. This is a hands-on leadership position where you'll both architect systems and write code. You'll partner with product, engineering, and customer success teams to identify opportunities where ML can transform our platform's capabilities. Your work will directly influence how thousands of brands adapt to the rapidly changing search landscape where AI shapes discovery and engagement. Key Responsibilities Technical Leadership: Design and deploy end-to-end machine learning systems including NLP models, search and recommendation algorithms, and LLM-based applications. Search and Content Intelligence: Build ML systems that analyze AI search behavior, identify content opportunities, and predict performance across different AI-driven platforms. Create algorithms that help brands understand and optimize for how AI agents discover and rank content. Cross-functional Partnership: Collaborate with product managers to translate business requirements into technical solutions. Qualifications 5+ years building production machine learning systems with demonstrated business impact; strong background in NLP and search/recommendation systems required Deep expertise across ML approaches: classical models (XGBoost, random forests), modern deep learning architectures (transformers, graph neural networks), and reinforcement learning systems Proven ability to take models from research to production, including optimization for latency and cost at scale Experience with ML infrastructure and tooling: model serving frameworks, experiment tracking, feature stores, and monitoring systems Track record of technical leadership: influencing architecture decisions, improving team practices, and driving cross-functional projects without direct authority Excellent communication skills with ability to explain complex technical concepts to non-technical stakeholders and align ML initiatives with business outcomes Our Guiding Principles Extreme Ownership Quality Curiosity and Play Make Our Customers Heroes Respectful Candor Benefits Equity in a fast-growing startup Competitive benefits package tailored to your location Flexible time off policy Parental Leave A fun-loving and (just a bit) nerdy team that loves to move fast!
    $83k-117k yearly est. 1d ago

  • Data Scientist

    Applied Physics 4.5company rating

    Data scientist job in New York, NY

    Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join our dynamic and multidisciplinary team of independent and entrepreneurial computer scientists and engineers. In this role, you will collaborate with scientists and researchers in various areas, including data analysis, compression, text processing, graph analysis, machine learning, information visualization, as well as others. Responsibilities: Collaborate with scientists and researchers in various areas to develop state-of-the-art algorithms, software, and computer systems solutions to challenging problems. Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory. Engage with other developers frequently to share relevant knowledge, opinions, and recommendations, working to fulfill deliverables as a team. Design technical solutions independently, participating as a member of a multidisciplinary team to analyze client requirements and designs, and implementing software and performing analyses to address these needs. Develop and integrate components for creating an operational information and knowledge discovery system. Requirements Bachelor's degree in computer science, computer engineering, or related field, or the equivalent combination of education and related experience. Comprehensive knowledge of one or more of the following: high-performance computing, scientific data analysis, statistical analysis, computer security, systems programming, and/or large-scale data management. Skilled in all phases of software development, including but not limited to feasibility requirements, design, implementation, integration, testing, and deployment. Experience developing software with C++, C, Java, Python, R, or Matlab, software applications in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches, relational databases, or machine learning algorithms. Ability to successfully handle multiple time-sensitive projects across several disciplines. Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information. Benefits We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.
    $81k-109k yearly est. 1d ago

  • Senior Data Scientist

    Angi 4.1company rating

    Data scientist job in New York, NY

    At Angi, we've had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need - and connecting pros with homeowners who have the jobs they want. Angi at a glance: A new homeowner turns to Angi every second Our network has 150,000+ skilled pros in 50+ service categories 150,000,000+ projects brought to Angi (and counting) Why join Angi: Angi is defining the future of the home services industry, creating an environment where homeowners, service professionals and employees benefit from more jobs done well. For homeowners, our platform makes it easier than ever to find a skilled pro for repairs, renovations, and everything in between. For pros, we're a business partner who helps them find the work they want and grow their business. We believe home is the most important place on earth, and so we work hard for our homeowners and our pros - making a real impact on families, communities, and livelihoods. Angi is an amazing place to call home. We can't wait to welcome you. About the role: Angi is seeking an exceptional Senior Data Scientist who can enable our transformation into a world-class online marketplace. The role is on our Data Science & Machine Learning team, tackling challenges such as search ranking, paid marketing optimization, and leveraging predictive models to enhance our product and consumer experience. What you'll do: Model Development & Data Strategy: Lead development of predictive models and algorithms to improve our Service Professional product and operations. Success in these areas will impact user experience & engagement, retention, and sales conversion rates - critical metrics for business success. Model Deployment: Implement robust MLOps practices to ensure the seamless deployment and scalability of predictive models. This includes automating model training, versioning, monitoring, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments. Model Evaluation: Develop robust design of experiment and statistical frameworks to evaluate and measure the impact of your data science solutions. Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, product managers, sales directors, and designers to build scalable and high-impact solutions. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services. Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems. Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage innovation and knowledge sharing to enhance the team's capabilities in advanced data science techniques from both industry and academia. Who you are: You have a Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields). You have 5+ years of experience in data science & machine learning, ideally within the tech industry & marketplace environments. You are an expert in machine learning and statistical model development and have experience designing experiments to evaluate and measure the impact of your models. You have a proven track record of deploying highly impactful machine learning models into production environments. You are proficient in SQL and Python, and have experience with cloud ML solutions. You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. We value diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Compensation & Benefits: The salary band for this position ranges from $150,000 to $220,000, commensurate with experience and performance. Compensation may vary based on factors such as cost of living. This position will be eligible for a competitive year end performance bonus & equity package. Full medical, dental, vision package to fit your needs Flexible vacation policy; work hard and take time when you need it Retirement plan with company match (401K) and parental leave benefits The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world #LI-Remote #BI-Remote
    $150k-220k yearly 1d ago

  • Senior Data Scientist

    3DS Dassault Systems

    Data scientist job in New York, NY

    Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week in accordance with Company policy. About our Company: Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating 25 years of ground-breaking technological innovation across more than 36,000 trials and 11 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million users trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. Discover more at ***************** About the Team: Platform AI organization is building pioneer innovative AI products based on the largest collection of clinical data in the world. Our AI teams are staffed with passionate technology and scientific experts looking to solve the most complex questions facing drug development through the use of machine learning and AI. We are looking for individuals who will solve the most complex questions facing the industry today innovative ML techniques based on both classical and GenAI approaches. The AI features developed will power modern clinical trial study design and study conduct with Rave and Patient Cloud products. You will report to Senior Manager of Data Science, and partner with all of the partner functions including Data Science, Product, and Engineering. Responsibilities: Your are an experienced Data Scientist who will design, implement, and productionize new AI driven features integrated with Medidata products Design, develop and validate machine learning models for novel clinical trial applications. Interact with product team to grasp product needs and provide AI solution (data, modeling strategies, and model serving). Develop prototypes that communicate how models can be used within customer facing products Evaluate and assess novel tools, algorithms, and technologies to be an AI community enabler. Build end-to-end machine learning pipelines from data curation, processing, model building, model evaluation, to model deployment for production. Lead junior developers in implementations of AI tasks and drive technical decisions across teams. Qualifications: Master's or PhD is required in a computational field such as Data Science, Computer Science, Mathematics, Statistics, or related field and a minimum of 5 years of experience Proficiency using Python, SQL, Linux shell scripting, AWS, Docker, and Git Experience with AI service development, familiar with different model serving strategies and service basics (performance, latency, scalability, etc) Technical leadership in both hard and soft skills, proactive, clear, and efficient in communication Experience with deep learning is preferred Previous experience with deploying GPU based models to AWS is a plus Nice to have(s) but not required... Experience with LLM or transformer based algorithms and methods Familiarity with NLP in healthcare data datasets in production Familiarity with machine learning infrastructure and frameworks, CI/CD, and MLOps The salary range posted below refers only to positions that will be physically based in New York City. As with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location. Pay ranges for candidates in locations other than New York City, may differ based on the local market data in that region. The base salary pay range for this position is $114,750-$153,000. Base pay is one part of the Total Rewards that Medidata provides to compensate and recognize employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides best-in-class benefits, including medical, dental, life and disability insurance; 401(k) matching; flexible paid time off; and 10 paid holidays per year. Equal Employment Opportunity: In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Medidata are based on merit, qualifications and abilities. Medidata is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age, disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. Medidata will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Applications will be accepted on an ongoing basis until the position is filled. #LI-Hybrid #LI-MM1
    $114.8k-153k yearly 1d ago

  • Senior Data Scientist

    3Ds 3.8company rating

    Data scientist job in New York, NY

    Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week in accordance with Company policy. About our Company: Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating 25 years of ground-breaking technological innovation across more than 36,000 trials and 11 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million users trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. Discover more at **************** . About the Team: Platform AI organization is building pioneer innovative AI products based on the largest collection of clinical data in the world. Our AI teams are staffed with passionate technology and scientific experts looking to solve the most complex questions facing drug development through the use of machine learning and AI. We are looking for individuals who will solve the most complex questions facing the industry today innovative ML techniques based on both classical and GenAI approaches. The AI features developed will power modern clinical trial study design and study conduct with Rave and Patient Cloud products. You will report to Senior Manager of Data Science, and partner with all of the partner functions including Data Science, Product, and Engineering. Responsibilities: Your are an experienced Data Scientist who will design, implement, and productionize new AI driven features integrated with Medidata products Design, develop and validate machine learning models for novel clinical trial applications. Interact with product team to grasp product needs and provide AI solution (data, modeling strategies, and model serving). Develop prototypes that communicate how models can be used within customer facing products Evaluate and assess novel tools, algorithms, and technologies to be an AI community enabler. Build end-to-end machine learning pipelines from data curation, processing, model building, model evaluation, to model deployment for production. Lead junior developers in implementations of AI tasks and drive technical decisions across teams. Qualifications: Master's or PhD is required in a computational field such as Data Science, Computer Science, Mathematics, Statistics, or related field and a minimum of 5 years of experience Proficiency using Python, SQL, Linux shell scripting, AWS, Docker, and Git Experience with AI service development, familiar with different model serving strategies and service basics (performance, latency, scalability, etc) Technical leadership in both hard and soft skills, proactive, clear, and efficient in communication Experience with deep learning is preferred Previous experience with deploying GPU based models to AWS is a plus Nice to have(s) but not required... Experience with LLM or transformer based algorithms and methods Familiarity with NLP in healthcare data datasets in production Familiarity with machine learning infrastructure and frameworks, CI/CD, and MLOps The salary range posted below refers only to positions that will be physically based in New York City. As with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location. Pay ranges for candidates in locations other than New York City, may differ based on the local market data in that region. The base salary pay range for this position is $114,750-$153,000. Base pay is one part of the Total Rewards that Medidata provides to compensate and recognize employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides best-in-class benefits, including medical, dental, life and disability insurance; 401(k) matching; flexible paid time off; and 10 paid holidays per year. Equal Employment Opportunity: In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Medidata are based on merit, qualifications and abilities. Medidata is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age, disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. Medidata will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Applications will be accepted on an ongoing basis until the position is filled. #LI-Hybrid #LI-MM1 Inclusion statement In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history. Salary Pay Transparency Compensation for the role will be commensurate with experience. The total expected compensation range will be between $114750 and $153000, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.
    $114.8k-153k yearly 1d ago

  • Reinsurer Actuary

    BJRC Recruiting

    Data scientist job in New York, NY

    Pricing Reinsurance Actuary New York, USA Our Client Our client is a modern reinsurance company specializing in data-driven portfolios of Property & Casualty (P&C) risk. The firm's approach combines deep industry relationships, a sustainable capital structure, and a partner-first philosophy to deliver efficient and innovative reinsurance solutions. As the company continues to grow, Northern is seeking a Pricing Actuary to strengthen its technical and analytical capabilities within the underwriting team. This is a unique opportunity to join a collaborative and forward-thinking environment that values expertise, precision, and long-term partnerships. Responsibilities Lead the pricing of reinsurance treaties, with a primary focus on U.S. Casualty Programs, and expand to other lines as the portfolio grows. Provide core input into transactional and portfolio-level underwriting decisions. Conduct peer reviews of pricing models and assumptions prepared by other team members. Support quarterly loss ratio analyses to monitor portfolio performance, identify trends, and inform capital management strategies. Contribute to the annual reserve study process and present insights to the executive leadership team. Execute benchmark parameter studies and communicate findings to management to support strategic planning. Participate in broker meetings and client visits, helping to structure and negotiate optimal treaty terms. Enhance portfolio monitoring and efficiency through process improvement, automation, and the development of analytical tools and dashboards. Some travel may be required. Qualifications Degree in Actuarial Science, Mathematics, Statistics, or a related field. FCAS or ACAS designation (or international equivalent) strongly preferred. Minimum of 8-10 years of actuarial experience in Property & Casualty reinsurance or insurance pricing. Proven expertise in casualty and specialty lines, including professional liability, D&O, and E&O. Strong analytical and problem-solving skills, with demonstrated experience in data modeling, pricing tools, and portfolio analytics. Excellent communication and collaboration abilities, capable of working closely with underwriting, finance, and executive teams. The Ideal Profile A technically strong, business-minded actuary who thrives in a dynamic, collaborative, and data-driven environment. Recognized for analytical rigor, attention to detail, and the ability to translate complex models into actionable insights. Values teamwork, intellectual curiosity, and innovation in solving industry challenges. Seeks to contribute meaningfully to a growing, entrepreneurial organization shaping the future of reinsurance. Why Join the Team This is a rare opportunity to join a modern, high-growth reinsurer where your analytical insight and strategic thinking will directly influence underwriting decisions and company performance. Northern offers a collaborative culture, flexible hybrid work model, and the chance to shape cutting-edge reinsurance strategies in partnership with leading underwriters and actuaries. REF# WEB1429
    $91k-142k yearly est. 2d ago

  • Data & Performance Analytics (Hedge Fund)

    Coda Search│Staffing

    Data scientist job in New York, NY

    Our client is a $28B NY based multi-strategy Hedge Fund currently seeking to add a talented Associate to their Data & Performance Analytics Team. This individual will be working closely with senior managers across finance, investment management, operations, technology, investor services, compliance/legal, and marketing. Responsibilities This role will be responsible for Compiling periodical fund performance analyses Review and analyze portfolio performance data, benchmark performance and risk statistics Review and make necessary adjustments to client quarterly reports to ensure reports are sent out in a timely manner Work with all levels of team members across the organization to help coordinate data feeds for various internal and external databases, in effort to ensure the integrity and consistency of portfolio data reported across client reporting systems Apply queries, pivot tables, filters and other tools to analyze data. Maintain client relationship management database and providing reports to Directors on a regular basis Coordinate submissions of RFPs by working with RFP/Marketing Team and other groups internally to gather information for accurate data and performance analysis Identifying opportunities to enhance the strategic reporting platform by gathering and analyzing field feedback and collaborating with partners across the organization Provide various ad hoc data research and analysis as needed. Desired Skills and Experience Bachelor's Degree with at least 2+ years of Financial Services/Private Equity data/client reporting experience Proficiency in Microsoft Office, particularly Excel Modeling Technical knowledge, data analytics using CRMs (Salesforce), Excel, PowerPoint Outstanding communication skills, proven ability to effectively work with all levels of Managment Comfortable working in a fast-paced, dead-line driven dynamic environment Innovative and creative thinker Must be detail oriented
    $68k-96k yearly est. 2d ago

  • P&C Reinsurance Actuary - PR12960

    Pryor Associates Executive Search

    Data scientist job in Philadelphia, PA

    P&C Reinsurance Actuary opening in NY, PA, IL, or MN. Perform reinsurance pricing, stochastic modeling, and portfolio optimization analysis involving large account Property, Casualty, Professional Liability, and/or Cyber lines; collaborate and communicate strategic insight and pricing results with key shareholders. Ideal candidate is FCAS, ACAS, or near ACAS with 5-12 years of any P&C pricing experience; must be dynamic, personable, and articulate; exposure to R, Python, or SQL a plus. (PR12960)
    $70k-108k yearly est. 4d ago

  • Principal Data Engineer

    Fresh 3.6company rating

    Data scientist job in New York, NY

    Principal Data Engineer - New York (Hybrid, 3 days on-site) Package: Competitive - Looking for experienced ICs, package will be based on interview performance. We are partnering with a fast-growing global Data and AI Consultancy to hire Principal Data Engineers. This is an exciting opportunity for someone who loves complex problem-solving, cutting-edge technology and working across multiple clients and industries (predominantly regulated spaces: finance, insurance and health care + more). The ideal candidate is passionate about data engineering and has a background in building robust pipelines, and helping businesses leverage their data for meaningful impact. Key Responsibilities Design, build, and maintain data pipelines to ingest, transform, and load data reliably. Implement and manage data lakes and warehouses for scalable and secure access. Ensure systems are reliable, secure, and cost-effective. Collaborate closely with analysts, ML engineers, and platform teams to deliver impactful solutions. Work with modern data tools and cloud platforms to optimise performance and scalability. Technical Skills & Experience Strong experience in Python, Spark, and Airflow. Hands-on knowledge of Snowflake, Databricks, BigQuery, or Neo4J. Familiarity with dbt, Fivetran, Terraform and other data engineering frameworks. Cloud experience with AWS, Azure, or GCP. Proven track record building scalable, reliable, and secure data solutions. Comfortable problem-solving across large, complex datasets and systems. STEM degree from a top university We're open to candidates with and without consulting backgrounds but you must be excited about working with leading global brands and directly with customers. If you're interested in hearing more about this opportunity, please include you most up to date CV.
    $105k-128k yearly est. 4d ago

  • Assistant Actuary II

    Argonaut Management Services, Inc.

    Data scientist job in New York, NY

    Argo Group International Holdings, Inc.and American National, US based specialty P&C companies, (together known as BP&C, Inc.) are wholly owned subsidiaries of Brookfield Wealth Solutions, Ltd. ("BWS"), a New York and Toronto-listed public company. BWS is a leading wealth solutions provider, focused on securing the financial futures of individuals and institutions through a range of wealth protection and retirement services, and tailored capital solutions. Job Description American National is seeking an exceptional Reserving Actuary to join our dynamic and forward-thinking team at American National, where innovation meets collaboration! We are a leading company in the insurance industry, dedicated to shaping the future with our flagship Farm and Ranch product. Our team is passionate about delivering exceptional results and making a real impact. We are seeking a talented and motivated Assistant Actuary II to join our collaborative Reserving team. In this role you will have the opportunity to work on exciting and challenging projects while shaping the future of our team. Responsibilities * Perform monthly/quarterly reserve reviews, including analysis of loss development trends and reserve adequacy. * Collaborate with other functional areas (Claims, Finance, Underwriting, Pricing) to understand trends impacting reserve analyses and provide insights on key loss drivers. * Assist the Appointed Actuary on the Statement of Actuarial Opinion and other financial reporting requirements. * Prepare presentations/communications of analyses to various audiences. * Proactively monitor relevant trends. Track and report on appropriate metrics. * Persistent pursuit of improvement including streamlining processes, data, exploration of new methods, techniques, and practices. Qualifications * A Bachelor's degree in mathematics, statistics, economics, or a related field with a strong mathematical background is required. * 2 or more exams with desire to obtain ACAS * Prior experience with SQL, Python, or R strongly preferred. Position is posted between 90k and 137K Level of role, Assistant Actuary I or II, will be commensurate with experience PLEASE NOTE: Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas. If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at . Notice to Recruitment Agencies: Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions. We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics. The collection of your personal information is subject to our HR Privacy Notice Benefits and Compensation We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.
    $91k-142k yearly est. 5d ago

  • Data Engineer

    Beauty By Imagination (BBI

    Data scientist job in New York, NY

    About Beauty by Imagination: Beauty by Imagination is a global haircare company dedicated to boosting self-confidence with imaginative solutions for every hair moment. We are a platform company of diverse, market-leading brands, including Wet Brush, Goody, Bio Ionic, and Ouidad - all of which are driven to be the most trusted choice for happy, healthy hair. Our talented team is passionate about delivering high-performing products for consumers and salon professionals alike. Position Overview: We are looking for a skilled Data Engineer to design, build, and maintain our enterprise Data Warehouse (DWH) and analytics ecosystem - with a growing focus on enabling AI-driven insights, automation, and enterprise-grade AI usage. In this role, you will architect scalable pipelines, improve data quality and reliability, and help lay the foundational data structures that power tools like Microsoft Copilot, Copilot for Power BI, and AI-assisted analytics across the business. You'll collaborate with business stakeholders, analysts, and IT teams to modernize our data environment, integrate complex data sources, and support advanced analytics initiatives. Your work will directly influence decision-making, enterprise reporting, and next-generation AI capabilities built on top of our Data Warehouse. Key Responsibilities Design, develop, and maintain Data Warehouse architecture, including ETL/ELT pipelines, staging layers, and data marts. Build and manage ETL workflows using SQL Server Integration Services (SSIS) and other data integration tools. Integrate and transform data from multiple systems, including ERP platforms such as NetSuite. Develop and optimize SQL scripts, stored procedures, and data transformations for performance and scalability. Support and enhance Power BI dashboards and other BI/reporting systems. Implement data quality checks, automation, and process monitoring. Collaborate with business and analytics teams to translate requirements into scalable data solutions. Contribute to data governance, standardization, and documentation practices. Support emerging AI initiatives by ensuring model-ready data quality, accessibility, and semantic alignment with Copilot and other AI tools. Required Qualifications Proven experience with Data Warehouse design and development (ETL/ELT, star schema, SCD, staging, data marts). Hands-on experience with SSIS (SQL Server Integration Services) for building and managing ETL workflows. Strong SQL skills and experience with Microsoft SQL Server. Proficiency in Power BI or other BI tools (Tableau, Looker, Qlik). Understanding of data modeling, performance optimization, and relational database design. Familiarity with Python, Airflow, or Azure Data Factory for data orchestration and automation. Excellent analytical and communication skills. Preferred Qualifications Experience with cloud data platforms (Azure, AWS, or GCP). Understanding of data security, governance, and compliance (GDPR, SOC2). Experience with API integrations and real-time data ingestion. Background in finance, supply chain, or e-commerce analytics. Experience with NetSuite ERP or other ERP systems (SAP, Oracle, Dynamics, etc.). AI Focused Preferred Skills: Experience implementing AI-driven analytics or automation inside Data Warehouses. Hands-on experience using Microsoft Copilot, Copilot for Power BI, or Copilot Studio to accelerate SQL, DAX, data modeling, documentation, or insights. Familiarity with building RAG (Retrieval-Augmented Generation) or AI-assisted query patterns using SQL Server, Synapse, or Azure SQL. Understanding of how LLMs interact with enterprise data, including grounding, semantic models, and data security considerations (Purview, RBAC). Experience using AI tools to optimize ETL/ELT workflows, generate SQL scripts, or streamline data mapping/design. Exposure to AI-driven data quality monitoring, anomaly detection, or pipeline validation tools. Experience with Microsoft Fabric, semantic models, or ML-integrated analytics environments. Soft Skills Strong analytical and problem-solving mindset. Ability to communicate complex technical concepts to business stakeholders. Detail-oriented, organized, and self-motivated. Collaborative team player with a growth mindset. Impact You will play a key role in shaping the company's modern data infrastructure - building scalable pipelines, enabling advanced analytics, and empowering the organization to safely and effectively adopt AI-powered insights across all business functions. Our Tech Stack SQL Server, SSIS, Azure Synapse Python, Airflow, Azure Data Factory Power BI, NetSuite ERP, REST APIs CI/CD (Azure DevOps, GitHub) What We Offer Location: New York, NY (Hybrid work model) Employment Type: Full-time Compensation: Competitive salary based on experience Benefits: Health insurance, 401(k), paid time off Opportunities for professional growth and participation in enterprise AI modernization initiatives
    $90k-123k yearly est. 1d ago

  • Data Engineer (Databricks & Azure)

    Insight Global

    Data scientist job in Newtown, PA

    A leading healthcare payor is actively seeking to hire a Azure Data Engineer with Databricks experience to help shape the future of data innovation. This is your chance to join a growing Enterprise Data Office where your work will directly impact patient outcomes, operational efficiency, and data-driven decision-making. Key responsibilities include: Design, develop and implement end-to-end data solutions using Azure Databricks. Convert legacy SQL workflows into modern Python-based pipelines. Maintain and optimize high-volume data pipelines in production. Write, test, and tune PySpark and SQL scripts for performance and scalability. Ensure data quality and integrity through robust validation and cleansing processes. PLEASE NOTE: We are looking for someone who values in person collaboration and is willing to come onsite twice a week in Newtown Square, PA 19073. Compensation: $58/hr to $65/hr. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
    $58 hourly 1d ago

  • Data Architect

    IPG Mediabrands

    Data scientist job in New York, NY

    We areseekingan experienced and forward-thinking Solution Architect - Data Engineeringto lead the design and implementation of scalable, secure, and high-performance data solutions. The ideal candidate will have deep expertise with Python and SQL, experience with data warehouses (Snowflake or something similar), a strong command ofengineering best practices(includinglinters and code formatters, project organization, and managing environments), and practical experience building CI/CD pipelinesto ensure robust, automated delivery of data pipelines and services. Responsibilities Architect Scalable Data Solutions Design and implement end-to-end data engineering architectures that are scalable, maintainable, and performant across batch and real-time processing systems. Engineering Leadership Lead by example with high-quality Python code,utilizinglinters (e.g.,pylint,flake8,black) and enforcing code cleanliness, readability, and best practices across teams. CI/CD Pipeline Development Build, manage, and optimize CI/CD pipelines using tools such as GitHub Actions,GitLab CI,CircleCI, or Jenkinsto automate testing, code quality checks, and deployment of data engineering components. Data Governance & Quality Establish data validation, logging, and monitoring strategies to ensure data integrity and reliability at scale. Collaborate Cross-Functionally Work closely with data scientists, software engineers, DevOps, and business stakeholders to translate requirements into technical solutions and ensure alignment with overall enterprise architecture. Mentorship & Code Reviews Provide guidance to junior developers, lead technical reviews, and enforce clean coding standards throughout the data engineering team. Required Skills & Experience 7+ years of experience in software or data engineering, with 3+ years in an architectural or technical leadership role. Expert-levelproficiencyin Python and SQL, with a deep understanding of best practices, performance tuning, and maintainable code patterns. Proven experience withlinters,formatters, and other static analysis tools to ensure code quality and compliance. Hands-on experience designing and implementing CI/CD pipelinesfor data pipelines, APIs, and other backend services. Solid knowledge of modern data platforms and technologies (e.g., Spark, Airflow,dbt, Kafka, Snowflake,BigQuery, etc.). Strong understanding of software engineering practices such as version control, testing, and continuous integration. Desired Skills & Experience Experience working in cloud environments (AWS, GCP, or Azure). Familiarity with Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Understanding of security, compliance, and governance in data pipelines. Excellent communication and documentation skills. Strong leadership presence with the ability to mentor and influence teams. Problem-solver with a focus on delivering value and simplicity through technology. Wage and Benefits We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family.The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee's/applicant's skill set, level of experience, and qualifications. Employment Transparency It is the policy of our company to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. Please note this is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions. For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with our company, please email . Salary Range$200,000-$220,000 USD
    $200k-220k yearly 2d ago

  • Senior Data Engineer

    Net2Source (N2S

    Data scientist job in Reading, PA

    Role: Senior Data Engineer Term: Contract The Team You will be part of a high-performing Data Engineering & Analytics team responsible for building scalable, cloud-native data platforms on AWS. The team partners closely with product, analytics, and business stakeholders to deliver reliable data pipelines that support advanced analytics, reporting, and data-driven decision-making. This team emphasizes modern data engineering practices, reusable frameworks, performance optimization, and production-grade data solutions. As a Senior Data Engineer, you will design, build, and maintain end-to-end data pipelines leveraging Talend Cloud (8.0), PySpark, and AWS services. You will play a key role in ingesting, transforming, and optimizing large-scale structured and unstructured datasets while ensuring scalability, performance, and data quality across the platform. Key responsibilities include: Designing and developing ETL/ELT workflows using Talend 8.0 on Cloud Integrating data from APIs, flat files, and streaming sources Ingesting and managing data in AWS S3-based data lakes Developing PySpark jobs for large-scale data processing and transformations Implementing Spark SQL for complex transformations and schema management Building and supporting cloud-native data pipelines using AWS services such as Glue, Lambda, Athena, and EMR Applying performance tuning and optimization techniques for Spark workloads What You Will Bring 10+ years of experience in data engineering, big data, or ETL development roles Strong hands-on expertise with Talend ETL (Talend Cloud / Talend 8.x) Advanced experience in PySpark and Spark SQL for large-scale data processing Proficiency in Python, including building reusable data transformation modules Solid experience with AWS data services, including: S3 for data lake storage and lifecycle management Glue for ETL/ELT orchestration Lambda for event-driven processing Athena for serverless analytics EMR for Spark/PySpark workloads Strong understanding of ETL/ELT patterns, data lakes, and distributed systems Ability to optimize performance, ensure data quality, and build production-ready pipelines Excellent collaboration skills and experience working with cross-functional teams
    $81k-110k yearly est. 3d ago

  • Data Science Intern - Summer 2026

    GNY Insurance Companies

    Data scientist job in New York, NY

    The purpose of this job is to explore external data resources, to extract discovered data through web scraping, and to evaluate the effectiveness of the external data on model improvement. Essential Duties and Responsibilities: Explore potential useful external data resources. Extract external data through web scraping. Evaluate the effectiveness of external data on model improvement. Participates in special projects and performs additional duties as required. QualificationsEducation and Experience: College student from an accredited institution preferably in Computer Science or Data Science Experience in web scraping preferred. Experience to pull data using API call preferred. Experience with developing regression model a plus. Skills: Proficient in programming Python, R, or SQL. Proficient in Microsoft Office Suites. Understand data structures. Good verbal and written communication skills. The salary range for this role is $16.50/hr - $30/hr. The listed annual salary range posted for this position is subject to change and may vary depending on performance, education, experience, skills, geographic location, travel requirements, demonstrated proficiency in the competencies required for the role and business needs. Base pay is just one component of GNY's total compensation package for employees. Other rewards include eligibility for an annual discretionary bonus based on performance.
    $16.5-30 hourly 2d ago

  • Lead Data Scientist - Forecasting

    CVS Health 4.6company rating

    Data scientist job in Homer, NY

    At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. **Position Summary** The Forecasting Center of Excellence (COE) at CVS Health develops scalable forecasting solutions that power smarter pricing, promotions, and assortment decisions across the retail business. As a Lead Data Scientist, you will play a key role in advancing forecasting models, deploying production-ready pipelines, and guiding junior team members. This role requires strong technical expertise in time-series modeling, machine learning, and MLOps practices, along with hands-on ability to design, implement, and scale models. You will also collaborate closely with data engineering, merchandising, pricing, promotions, and assortment teams to integrate diverse datasets (including coupon and external data) and translate modeling insights into measurable business impact. **In this role, you will have the opportunity to:** + Build, optimize, and deploy scalable forecasting models that support pricing, promotions, and assortment strategies across multiple product categories + Apply advanced statistical, machine learning, and deep learning methods (e.g., ARIMA, Prophet, gradient boosting, LSTMs, hybrid ensembles) for forecasting at SKU, category, and chain levels + Implement robust MLOps practices for model deployment, monitoring, and retraining using cloud platforms (Azure, GCP, AWS) + Integrate multiple internal and external data sources (e.g., coupon redemption, merchandising, competitive, and macroeconomic data) into forecasting pipelines + Collaborate with data engineering to ensure scalable, high-quality data pipelines + Partner with business stakeholders in pricing, promotions, and assortment to design and validate forecast-driven decision workflows + Coach and mentor junior data scientists, sharing best practices in forecasting, MLOps, and applied analytics + Monitor forecast accuracy, perform backtesting, and refine models to reduce error rates and improve stability + Develop frameworks for scenario planning and simulation to measure business impact of promotions, pricing strategies, and assortment changes **Required Qualifications** + 7+ years of experience in data science, forecasting, or applied predictive modeling + 4+ years of experience building and deploying time-series forecasting models using methods such as ARIMA, Prophet, gradient boosting, LSTMs, or hybrid ensembles + 4+ years of experience with Python and SQL for large-scale data processing + 3+ years of experience with MLOps tools and practices (e.g., GitHub/GitLab, Docker, Kubernetes, Kubeflow, CI/CD pipelines) + 3+ years of experience using cloud platforms (Azure, AWS, or GCP) and distributed computing frameworks (e.g., Databricks, Spark) + Proven track record of deploying at least 2 production forecasting models that delivered ≥10% improvement in accuracy (e.g., reduction in MAPE, WMAPE, or sMAPE + Experience working with cross-functional teams (engineering, merchandising, pricing, assortment) to deliver at least 2+ enterprise-level data-driven solutions from design to production **Preferred Qualifications** + Experience forecasting across multiple hierarchy levels (SKU, category, store, chain) and handling temporal aggregation challenges + Exposure to promotion, pricing, and assortment data as forecast drivers + Familiarity with simulation frameworks for what-if analysis and demand scenario planning + Experience applying generative AI (e.g., embeddings, LLMs, foundation models) to forecasting, feature engineering, or automation + Strong ability to communicate technical results to senior leadership and business stakeholders + Experience mentoring junior team members, setting standards for modeling practices, and guiding code reviews + Experience with end-to-end forecast lifecycle management (versioning, retraining, data drift monitoring) **Education** + Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or related field (Master's/PhD preferred) **Pay Range** The typical pay range for this role is: $142,140.00 - $284,280.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. **Great benefits for great people** We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: + **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** . + **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. + **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ***************************************** We anticipate the application window for this opening will close on: 02/22/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
    $93k-122k yearly est. 7d ago

Learn more about data scientist jobs

How much does a data scientist earn in Union, NY?

The average data scientist in Union, NY earns between $71,000 and $135,000 annually. This compares to the national average data scientist range of $75,000 to $148,000.

Average data scientist salary in Union, NY

$98,000
Job type you want
Full Time
Part Time
Internship
Temporary
Data Scientist related careers
Popular data scientist job locations
What similar roles do
Resume for related jobs