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machine learning engineer

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machine learning researcher

Morgan Stanley

<div>
 Morgan Stanley's Machine Learning Research Department is responsible for working across the Firms many business units and technology teams to solve mission-critical problems. We are a highly motivated and collaborative team of scientists, technologists, and market practitioners.
 
 
 In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.
 
 
 Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
 
 
 Interested in joining a team that&rsquo;s eager to create, innovate and make an impact on the world? Read on.
 
 
 We are seeking someone capable of independently tackling research problems that have commercial applications. Ideal candidates will be able to apply the technical expertise and research acumen cultivated in their academic careers to real-world financial and operating problems. Please see our research papers for more: https://www.morganstanley.com/about-us/technology/machine-learning-research-team
 
 
 
 What You&rsquo;ll Bring To The Role
 
 
 
 These candidates will have a track record of exceptionally creative, hands-on, high-impact machine learning research and applications, evidenced by publications in competitive venues. We welcome candidates from both industry and academia, and at various levels of seniority, from Ph.D. students nearing graduation to established researchers. Broad experience across multiple fields is a plus.
 
 
 <ul>
 <li>
 Development experience in Python or R (C, C++, Java, etc is a plus)
 </li>
 <li>
 Deep understanding of statistical learning methods
 </li>
 <li>
 Strong communications and organizational skills
 </li>
 <li>
 4+ years of applicable research experience
 </li>
 <li>
 Bachelor's degree required, Ph.D. desired
 
 
 </li>
 </ul>
 
 What You Can Expect From Morgan Stanley
 
 
 
 We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 85 years. At our foundation are five core values &mdash; putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back &mdash; that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. We Firm is differentiated by the caliber of our diverse team. While our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry.
 
 
 
 We're committed to bringing passion and customer focus to the business.
 
 
 
 Expected base pay rates for the role will be between $154,000 and $213,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
 
 
 Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
 
 
 It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
 
 
 Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).
 
 
</div>

Machine Learning Researcher

Mount Sinai Health System

<div>Description
The Windreich Department of AI &amp; Human Health is rapidly advancing the use of technology to improve health outcomes and is at the forefront of AI implementation within the Mount Sinai Health.
Machine Learning Engineer III will oversee the design and development of sophisticated machine learning systems. They will collaborate closely with cross-functional teams to drive innovation and ensure the successful implementation of machine learning solutions. 
Responsibilities
End-to-End System Responsibility:<ul><li>
Assume complete ownership of the entire machine learning system development process.</li><li>
Coordinate closely with other team members and other engineering teams to ensure seamless integration and alignment with broader organizational goals and workflows.</li><li>
Lead the collaborative efforts with cross-functional teams, including data scientists and product managers, to ensure the successful deployment and robust maintenance of machine learning models.</li><li>
Oversee the continuous monitoring and timely updating of deployed models to guarantee enduring performance and reliability.</li></ul>
Technical Leadership:<ul><li>
Exhibit technical leadership and mentorship to Machine Learning Engineer I, II, and other team members.</li><li>
Encourage knowledge exchange and promote professional growth within the team.</li><li>
Establish and enforce best practices for machine learning system development, including coding standards, code reviews, and comprehensive documentation.</li><li>
Serve as the primary contact for technical inquiries related to machine learning within the team, providing expert guidance and solutions.</li></ul>
Problem-Solving:<ul><li>
Utilize advanced problem-solving skills to navigate and resolve complex technical challenges and obstacles.</li><li>
Foster a collaborative environment for brainstorming and implementing effective solutions with the team and other departments.</li></ul>
Research and Development:<ul><li>
Remain up-to-date with the latest advancements and trends in the fields of software engineering and machine learning.</li><li>
Conduct proactive research to uncover new methods and techniques applicable to future projects.</li><li>
Lead initiatives to explore, test, and implement new technologies and frameworks, ensuring the team is always at the forefront of industry innovations.</li></ul>
Collaboration and Communication:<ul><li>
Engage in effective communication and collaboration across various teams within the organization to ensure alignment and coordination in the execution of machine learning projects.</li><li>
Facilitate transparent and timely communication with all relevant stakeholders, ensuring that all are kept informed of project statuses, challenges, and achievements.</li><li>
Work collaboratively with cross-functional teams, fostering a cooperative environment for the seamless integration of machine learning systems into diverse organizational processes and workflows.</li><li>
Contribute to building strong interdepartmental relationships, enabling the efficient exchange of knowledge and expertise, and ensuring the successful realization of machine learning initiatives.</li></ul>
Additional Responsibilities:<ul><li>
Develop and maintain project work plans, including critical tasks, milestones, timelines, interdependencies, and contingencies. Tracks and reports progress. Keeps stakeholders apprised of project status and implications for completion.</li><li>
Prepare clear, well-organized project-specific documentation, including, at a minimum, analytic methods used, key decision points and caveats, with sufficient detail to support comprehension and replication.</li><li>
Mentor other analysts on how to a) determine appropriate statistical analysis methods, b) leverage appropriate programing languages and tools, and c) generate and interpret statistical analysis outputs.</li><li>
Share development and process knowledge with other analysts in order to assure redundancy and continuously builds a core of analytical strength within the organization.</li><li>
Adheres to corporate standards for performance metrics, data collection, data integrity, query design, and reporting format to ensure high quality, meaningful analytic output.</li><li>
Works closely with IT on the ongoing improvement of Mount Sinai&rsquo;s integrated data warehouse, driven by strategic and business needs, and designed to ensure data and reporting consistency throughout the organization.</li><li>
Demonstrates advanced level proficiency with the principles and methodologies of process improvement. Applies these in the execution of responsibilities in support of a process focused approach.</li><li>
Other duties as assigned.</li></ul> 

Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, or a related field.</li><li>
4+ years of relevant experience in machine learning and back-end software development.</li><li>
Demonstrated end-to-end machine learning system development and operation experience, covering the complete Software Development Life Cycle (SDLC).</li><li>
Proficiency in multiple programming languages and machine learning frameworks and tools.</li><li>
Solid experience with both SQL and NoSQL databases.</li><li>
Extensive experience with Big Data technologies like Apache Spark.</li><li>
Hands-on experience in Unix environments.</li><li>
Practical knowledge and experience with at least one cloud system among AWS, Azure, or Google Cloud.</li><li>
Familiarity with continuous development and integration systems such as Jenkins, Git, Azure DevOps, and Terraform.</li><li>
A proven history in developing, deploying, and operating efficient and reliable machine learning systems.</li><li>
Strong leadership and effective communication skills to facilitate cross-functional collaboration throughout the organization.</li><li>
Experience in providing mentorship</li></ul> 
Employer Description
Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai&rsquo;s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time &mdash; discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients&rsquo; medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News &amp; World Report's Best Hospitals, receiving high &quot;Honor Roll&quot; status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News &amp; World Report&rsquo;s &ldquo;Best Children&rsquo;s Hospitals&rdquo; ranks Mount Sinai Kravis Children's Hospital among the country&rsquo;s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek&rsquo;s &ldquo;The World&rsquo;s Best Smart Hospitals&rdquo; ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. 
Compensation
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $132000 - $198065 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</div>

Machine Learning Engineer III - Generative AI - Windreich Department of Artificial Intelligence & Human Health Research

MedReview Inc.

<div>
 
 
 Position Summary:&nbsp;
 
 
 
 
 
 
 
 
 
 MedReview is looking for a talented and experienced
 
 Data Scientist
 
 to join our dynamic team. As a part of our team, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems. As part of a global team of developers and analysts, the Data Scientist will work with a larger team to design, build, validate, refine, and operationalize models.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 
 Problem Identification:
 
 
 
 
 
 &nbsp;Collaborate with stakeholders to identify business challenges that can be solved through data analysis.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 
 Data Collection &amp; Preparation:
 
 
 
 
 
 &nbsp;Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it to ensure accuracy for modeling.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 
 Model Development:
 
 
 
 
 
 &nbsp;Design and implement algorithms and predictive models using machine learning techniques to forecast outcomes or categorize information.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 
 Exploratory Data Analysis (EDA):
 
 
 
 
 
 &nbsp;Analyze datasets to uncover hidden patterns, trends, and anomalies.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 
 Communication &amp; Visualization:
 
 
 
 
 
 &nbsp;Translate technical findings into "data stories" using tools like&nbsp;Tableau&nbsp;or&nbsp;Power BI&nbsp;to influence executive decisions.&nbsp;
 
 
 
 
 
 
 </li>
 </ul>
 
 
 Qualifications:&nbsp;
 
 
 <ul>
 <li>
 
 
 
 
 
 Master&rsquo;s degree or bachelors degree and equivalent experience in a quantitative field (Math, CS, Stats)
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 
 Programming:
 
 
 
 
 
 &nbsp;Proficiency in&nbsp;Python&nbsp;or&nbsp;R&nbsp; along with&nbsp;SQL&nbsp;for database querying.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 
 Mathematics &amp; Statistics:
 
 
 
 
 
 &nbsp;Strong foundation in linear algebra, calculus, and statistical modeling.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 
 Machine Learning:
 
 
 
 
 
 &nbsp;Experience with frameworks like&nbsp;TensorFlow,&nbsp;PyTorch, or&nbsp;scikit-learn.
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 
 Soft Skills:
 
 
 
 
 
 &nbsp;Critical thinking, curiosity, and the ability to explain complex concepts to non-technical audiences.&nbsp;Experience working with global and remote teams
 
 
 
 
 
 
</div>

Data Scientist

Apple

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn&rsquo;t have imagined, and now, can&rsquo;t imagine living without. It&rsquo;s the diversity of those people and their ideas that inspires the innovation that runs through everything we do. 
 
Description 
 
APPLE INC has the following available in New York, New York. Work with Product, Design, Project and Engineering to identify, conceptualize and implement the ML use cases for Apple Sports. Prototype ML and Probabilistic algorithms specific to Sports Data. Analyze the Apple Sports Signals and recognize the relevant probabilistic patterns to enhance existing systems while keeping user privacy intact. Execute Statistical tests to identify strength and weakness of ML systems and address by using appropriate ML techniques. Find patterns in the data to enhance the user experience. Document and keep the Apple Sports teams up to date with ML research. 40 hours/week. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 - $220,900/yr and your base pay will depend on your skills, qualifications, experience, and location. 
 
PAY &amp; BENEFITS: Apple employees also have the opportunity to become an Apple shareholder through participation in Apple&rsquo;s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple&rsquo;s Employee Stock Purchase Plan. You&rsquo;ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits: https://www.apple.com/careers/us/benefits.html. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. 
 
Preferred Qualifications 
 
N/A 
 
Minimum Qualifications 
 
Master&rsquo;s degree or foreign equivalent in Computer Science, Software Engineering, Electrical and Computer Engineering, or related field. 
 
Experience and/or education must include: 
 
Utilizing Python and PyTorch to design, train, and deploy machine learning models for prediction, classification, and generation tasks. 
 
Utilizing modern NLP techniques with Transformer-based architectures including BERT or GPT for text classification and generation. 
 
Applying statistical and probabilistic modeling, including logistic regression, Bayesian inference, and hypothesis testing, to support model development and evaluation. 
 
Designing and executing A/B tests and multivariate experiments to validate machine learning model performance and guide iterative improvements. 
 
Using Scikit-learn, including decision trees, clustering, and ensemble methods to implement classical machine learning algorithms 
 
Utilizing NLTK or similar NLP toolkits for text preprocessing, tokenization, sentiment analysis, and named entity recognition. 
 
Conducting time-series data analysis and pattern recognition using supervised and unsupervised learning techniques. 
 
Using version-controlled scripts and model evaluation frameworks to develop and maintain reproducible machine learning workflows. 
 
Documenting ML research findings and translating experimental results into actionable technical improvements. 
 
Collaborating cross-functionally with engineering, product, and design teams to integrate ML models into user-facing applications. 
 
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 .

Machine Learning Engineer

Learning and Performance Partner

FanDuel

<div>THE POSITION 
Our roster has an opening with your name on it

We are looking for a Product Manager to join our Data Products team within our Technology. This is a key role in a fast-paced environment working with teams and stakeholders across the business to drive the development and enhancement of our Data Science and Machine Learning products. In this role, you'll drive the evolution and adoption of our ML Platform, including experiment tracking, model lifecycle management, observability, and feature engineering capabilities that enable data scientists to build, deploy, and monitor models at scale. If you&rsquo;re excited by this challenge and want to work within a dynamic company, then we&rsquo;d love to hear from you.

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
<ul>
<li>You will take ownership of data products that deliver key insights into our business and drive future business decisions</li>
<li>Lead elicitation of requirements, in the form of user stories &amp; acceptance criteria, prioritizing the product backlog to streamline the execution of program priorities</li>
<li>Work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to ensure our platform aligns with business objectives and delivers advanced machine learning solutions</li>
<li>Partner closely with our Data Science and Machine Learning Data Engineering teams to deliver value through data</li>
<li>Bring fresh ideas to the table when working to solve business problems, using your commercial understanding to generate innovative solutions</li>
<li>Partner with Engineering teams to define solution and approach</li>
<li>Create and maintain user guides, technical documentation, and best practices for the Machine Learning platform, including tooling for experiment tracking, model deployment, feature engineering, and observability</li>
<li>Monitor platform performance, model accuracy, and data quality. Identify and address issues to continuously improve platform efficiency</li>
<li>Be an enabling force driving through effective and sustainable change guiding the business through the journey</li>
<li>Play a key role within the PM community here at FanDuel, sharing your industry best practice and fostering a culture of knowledge sharing and cross-skilling</li></ul> 


THE STATS 
What we're looking for in our next teammate
<ul>
<li>3-6 years of experience as a Product Manager, Product Owner, or Data Scientist delivering impactful data products, with a proven track record of successful project delivery and stakeholder satisfaction.</li>
<li>Experience working with data warehouse and data science technologies, including platforms such as Python, PySpark, Databricks, AWS, and MLflow ensuring efficient data processing and management.</li>
<li>Proficiency with popular machine learning frameworks and tools, such as TensorFlow, PyTorch, or scikit-learn, encompassing model development, training, and deployment to support advanced analytics and predictive modeling initiatives.</li>
<li>Expertise in using Databricks for scalable data engineering and machine learning workflows, leveraging its collaborative environment and optimized Spark clusters for accelerated development and deployment cycles.</li>
<li>Strong proficiency in SQL for querying and manipulating large datasets, combined with advanced programming skills in Python for data preprocessing, feature engineering, and model development tasks.</li>
<li>Hands-on experience with MLflow for experiment tracking, model registry, and model lifecycle management, including integration with Unity Catalog for centralized governance and versioning</li>
<li>Familiarity with ML observability and monitoring tools (e.g., Fiddler, Evidently AI, or similar platforms) for tracking model performance, detecting data drift, and ensuring model health in production environments</li>
<li>Understanding of Infrastructure as Code (IaC) principles and experience with tools such as Terraform for managing ML infrastructure, governance policies, and reproducible deployments</li>
<li>Extensive experience with feature stores, facilitating efficient feature management and reuse across machine learning models, enhancing model accuracy and reducing time-to-market for data-driven solutions.</li>
<li>Demonstrated proficiency in a variety of reporting and data visualization tools, such as Tableau, Power BI, or matplotlib, for creating insightful visualizations and dashboards to communicate key insights and drive data-driven decision-making.</li>
<li>Exceptional analysis skills, with the ability to interpret complex datasets, identify meaningful patterns and trends, and derive actionable insights to inform product strategy and decision-making.</li>
<li>Proven experience conducting stakeholder interviews and facilitating stakeholder workshops, fostering open communication and collaboration to gather requirements, prioritize features, and align product roadmap with business objectives.</li>
<li>Proficient in translating product roadmap features into well-defined product requirements, including features, user stories, and acceptance test criteria, ensuring clear understanding and alignment across cross-functional teams.</li>
<li>Thrives in a fast-paced environment, adapting quickly to changing priorities while driving high standards and delivering value that meets or exceeds challenging goals.</li>
<li>Drives high standards for individual accomplishment and works to meet or exceed challenging goals, fostering a culture of excellence and continuous improvement within the product development team.</li>
<li>Is accustomed to working in a fast-paced environment, adapting quickly to changing priorities and requirements, while maintaining a focus on delivering value and driving outcomes for the organization.</li>
<li>Bachelor's degree in a relevant field preferred (Computer Science, Engineering, Business, or a related discipline). A Master's degree is a plus, providing additional depth and specialization in machine learning, data science, or related fields.</li> 
</ul>
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&rsquo;s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry&rsquo;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&rsquo;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). 

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 &amp; 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: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, &ldquo;We are One Team!&rdquo;. 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 $106,000 - $139,700 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.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. 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 email Benefits@fanduel.com.

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</div>

Data Product Manager

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.<div><div>
Position Summary</div><div>
CVS Health&rsquo;s Analytics &amp; Behavior Change (A&amp;BC) is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&amp;BC leverages advanced analytics, machine learning, modeling, and hypothesis-driven approaches to transform data into actionable, customer-centric insights driving growth, health outcome improvements, and access to health care across all our businesses in CVS Health. Our teams build next generation data and machine learning platforms and software products that help power CVS Health to make healthier happen for 100+ million customers.</div><div>
The A&amp;BC organization is looking to grow its Product team supporting Clinical Data Science &amp; AI. Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages technology and analytics to become the leader in consumer healthcare in the U.S.</div><div>
As a Senior Product Manager within A&amp;BC, you will be responsible for contributing to the creation, launch, and maintenance of AI-powered, clinical data insights across the enterprise. This role requires a strong understanding of product management, clinical data, AI-powered insights acceleration, and cross-team collaboration. The ideal candidate has familiarity with the following areas: development processes of small language models, natural language processing, training models, data annotation, and model validation. This person can work effectively with cross-functional teams, most importantly data scientists and machine learning engineers, to bring clinical data and AI products from inception to production.</div><div>
Responsibilities:</div><div><ul><li>
Develop feature KPIs that are aligned with the overall program KPIs and ensure metrics tracking; use data to drive feature prioritization and alignment with stakeholders on value and prioritization.</li></ul></div><div><ul><li>
Work closely with clinicians and operations to confirm business value, inform problem statements, and quantify the value of your team&rsquo;s potential solution.</li></ul></div><div><ul><li>
Develop go-live timelines with your core data science team and engineering partners; align on timelines and scope with multiple developer teams and stakeholders.</li></ul></div><div><ul><li>
Facilitate cross-team hand-offs including documentation, end-to-end QA planning, and validation.</li></ul></div><div><ul><li>
Create product requirements documents, acceptance criteria, and detailed product specifications to communicate feature requirements to Data Science, Engineering, and Leadership teams.</li></ul></div><div><ul><li>
Support Engineering and Data Science teams to implement features by clarifying requirements, facilitating technical discussions, and helping technical team members to understand the end users and the business problem being solved. Ensure end-to-end insight and collaboration.</li></ul></div><div><ul><li>
Facilitate problem solving and prioritization across teams, factoring in trade-offs between speed, scalability, accuracy, and quality. Be prepared to discuss myriad AI solutions during discovery and make trade-off decisions.</li></ul></div><div><ul><li>
Liaise with clinicians to validate clinical AI model results and to facilitate review and refinement.</li></ul></div><div><ul><li>
Analyze product performance metrics, identifying opportunities for improvement and optimization.</li></ul></div><div><ul><li>
Work with internal customers, end users, and other stakeholders to maintain product roadmaps.</li></ul></div><div><ul><li>
Clarify and coordinate dependencies with other product teams and stakeholders and mitigate the risks and dependencies proactively.</li></ul></div><div><ul><li>
Follow agile best practices including but not limited to working with and leading a scrum team.</li></ul></div><div>
Required Qualifications</div><div><ul><li>
8+ years of overall work experience.</li></ul></div><div><ul><li>
3+ years&rsquo; experience working cross-functionally with Machine Learning Engineering and Data Science.</li></ul></div><div><ul><li>
2+ years&rsquo; Product Management, Product Management-adjacent, or Consulting experience (closely partnering with Data Scientists and Engineers).</li></ul></div><div><ul><li>
2+ years' experience with AI, data analytics, data products, and/or complex analytics utilizing clinical or claims data to accelerate insights and drive value.</li></ul></div></div><div><div><ul><li>
Proven track record of supporting the management of all aspects of a successful product throughout its lifecycle; including a strong understanding of QA best practices.</li></ul></div><div><ul><li>
Ability to drive outcomes in a complex environment and navigate ambiguity.</li></ul></div><div>
Preferred Qualifications</div><div><ul><li>
Familiarity with AI including small language models, large language models, prompt engineering, and machine learning.</li></ul></div><div><ul><li>
Deep knowledge of various types of healthcare data, including experience utilizing clinical and claims data to create a longitudinal patient view or using AI to drive clinical data insights.</li></ul></div><div><ul><li>
Strong interest in the Healthcare sector; the ideal candidate should be passionate about making healthcare more efficient and want to be part of a transformational change in the Healthcare industry.</li></ul></div><div><ul><li>
Technical product management experience and/or experience with general AI/machine learning teams.</li><li>
Demonstrated ability to operate effectively within a complex stakeholder environment, driving consensus and fostering collaborative decision-making processes.</li><li>
Demonstrated ability to communicate (oral and written), with experience in communicating technical concepts and implications to business stakeholders, including clinicians, as well as business concepts and requirements to Data Science, Engineering, and other technical teams.</li></ul></div><div> 
Education</div><div><ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, Physics, Applied Sciences, or a related field</li></ul></div></div>
Pay Range
The typical pay range for this role is:
$130,295.00 - $260,590.00 
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&rsquo;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 &ndash; 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:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
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.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 03/31/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Senior Product Manager - Foundational and Clinical AI

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