ai/ml engineer (entry position) Jobs in New York

ai/ml engineer (entry position)

associate machine learning engineer Jobs in New York

associate machine learning engineer

computational scientist - ai & human health Jobs in New York

computational scientist - ai & human health

data scientist, generative & agentic ai solutions: senior consultant Jobs in New York

data scientist, generative & agentic ai solutions: senior consultant

director-data science

data scientist generative agentic ai solutions senior consultant

Alvarez & Marsal

<div></div><div><div><div><p>Location: New York, NY, United States<br>
Date Posted: Jan 9, 2026</p></div><p></p><div><div><br>
</div></div></div><div><p><b>Description</b>
</p><p><b>About Alvarez &amp; Marsal</b></p><p>
Alvarez &amp; Marsal (A&amp;M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are why our people love working at A&amp;M.</p><p></p><p><b>
The Team</b></p><p>
Join our growing AI &amp; Analytics (AI&amp;A) team within the Corporate Performance Improvement practice, where you'll drive innovation in AI by leveraging Generative and Agentic technologies to transform business strategies. As a Data Scientist at the Manager level, you will combine strategic consulting with hands-on expertise to design and implement advanced AI solutions. Collaborating across practice areas, you will develop impactful applications that address complex business challenges and deliver measurable results for clients across industries.</p><p></p><p>
This role offers the unique opportunity to serve as both a trusted advisor to clients and a hands-on practitioner, developing and deploying advanced AI applications. You will collaborate closely with client executives, applying your technical skills to deliver tangible results. With access to exceptional career development opportunities, training, and exposure to diverse industries, you&rsquo;ll play a key role in driving innovation and meaningful change.</p><p></p><p><b>
How you will contribute</b></p><ul><li><p>
Lead project workstreams effectively, balancing technical and functional while ensuring quality deliverables</p></li><li><p>
Serve as a hands-on consultant, actively contributing to the development and implementation of AI solutions as needed to achieve project objectives</p></li><li><p>
Apply structured problem-solving frameworks and methodologies to assist leaders to design and execute project plans, ensuring alignment with client goals</p></li><li><p>
Build strong relationships with clients, demonstrating executive presence and professionalism</p></li><li><p>
Support business development efforts, including proposal creation and sales initiatives</p></li><li><p>
Identify client needs and opportunities for A&amp;M, leveraging your network to maintain and grow business relationships</p></li><li><p>
Foster an inclusive and engaging team environment that values collaboration and diverse perspectives</p></li></ul><p></p><p><b>
Qualifications</b></p><ul><li><p>
3+ years of experience with Python, SQL, and AI/ML models, in analytics libraries like Pandas, NumPy, SciKit-Learn, and PyTorch</p></li><li><p>
Proven experience and/or exposure developing Generative AI Solutions, including large language model (LLM) based applications, Retrieval-Augmented Generation (RAG) systems</p></li><li><p>
Experience implementing Agentic AI frameworks, such as CrewAI and LangChain, to build autonomous systems in production settings</p></li><li><p>
Proficiency in building APIs and backend applications with frameworks like FastAPI and Flask</p></li><li><p>
Experience deploying solutions in cloud platforms such as AWS, GCP, or Azure (e.g. provisioning EC2 instances, creating Azure Bloc containers, etc.)</p></li><li><p>
Ability to translate and present complex technical concepts effectively</p></li><li><p>
Prior experience in consulting or a comparable client-facing role</p></li><li><p>
Willingness to travel as required for client engagements</p></li></ul><p></p><p><b>
Your journey at A&amp;M</b></p><p>
We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person&rsquo;s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.</p><p></p><p>
We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&amp;M. The possibilities are endless for high-performing and passionate professionals.</p><p></p><p>
Regular employees working 30 or more hours per week are also entitled to participate in Alvarez &amp; Marsal Holdings&rsquo; fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&amp;D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez &amp; Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type.</p><p></p><p>
The salary range is $90,000 - $130,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&amp;M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance. Please ask your recruiter for details.</p><p></p><p>
Must be authorized to work in the US without the need for employment-based sponsorship now or in the future. A&amp;M will not sponsor applicants for US work visa status for this role.</p>
</div><div><h2 class="jobSectionHeader"><b>Inclusive Diversity</b></h2>
<p>A&amp;M&rsquo;s entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M&rsquo;s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are the main reasons our people love working at A&amp;M. Inclusive Diversity means we embrace diversity, and we foster inclusiveness, encouraging everyone to bring their whole self to work each day. It runs through how we recruit, develop employees, conduct business, support clients, and partner with vendors. It is the A&amp;M way.</p>
<h2 class="jobSectionHeader"><b>Equal Opportunity Employer</b></h2>
<p>It is Alvarez &amp; Marsal&rsquo;s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. .</p>
<h2 class="jobSectionHeader"><b>Unsolicited Resumes from Third-Party Recruiters</b></h2>
<p>Please note that as per A&amp;M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&amp;M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.</p></div></div><p></p>

Data Scientist, Generative & Agentic AI Solutions: Senior Consultant

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
We are seeking an experienced Senior Product Manager-Technical who will drive the future of AI-powered creative generation that enables advertisers to produce professional-quality image, video and audio at speeds never before thought possible. You'll be responsible for leading product strategy and execution for breakthrough generative AI solutions that transform how advertisers create their creative assets.
<br>
<br>
The right candidate will have a strong track record of working with both user experience and science teams, and a deep curiosity about the rapidly evolving generative AI landscape. You'll collaborate closely with machine learning engineers, applied scientists, software engineers, and UX designers to build products that fundamentally change the creative development process for advertisers of all sizes.<br>
<br>
Key job responsibilities<br>
You will:<br>
<ul><li>Think big to define and drive end-to-end product strategy from conception through launch, working backwards from advertiser needs to build roadmaps and user experiences for image, video, and audio creation capabilities for TV, podcasts, Amazon.com and publisher sites.
</li><li>Dive Deep with applied scientists, ML engineers, and software engineers to translate the latest generative AI research into evidence-based, practical advertiser solutions.</li><li>Collect or create content benchmarks, define success criteria, and execute scientific evaluations in partnership with the organization.</li><li>Learn and be Curious to stay current on generative AI trends, research developments, and industry innovations to identify new opportunities and maintain a competitive advantage.</li><li>Write strategic documents including PRFAQs, vision documents, and technical requirements that align leadership and engineering teams on ambitious product goals</li><li>Collaborate cross-functionally with engineering, design, science, creatives, production teams, go-to-market specialists, and external partners to influence priorities and ensure seamless product execution and adoption.</li><li>Monitor and optimize product performance through data analysis, user feedback, and competitive intelligence to continuously improve AI model outputs and user experience</li></ul><br>
About the team<br>
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. The Creative Experience team within Ads is leveraging AI to incubate a creative future where any advertiser&mdash;from emerging brands to global enterprises&mdash;can produce agency-quality video, image, and audio ad content in minutes instead of months. We are first-movers in the industry, democratizing creative access by launching generative AI solutions that act as a full-service creative agency in your pocket. We're investing heavily in the most advanced AI technologies, including latent-diffusion models for stunning visual generation, large language models for creative strategy and copywriting, agentic systems that orchestrate complex tasks, computer vision for product understanding, and multimodal synthesis for seamless audio-visual experiences. Every solution we build moves us closer to a state where creative quality is limited only by imagination, not budget or resources.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree</li><li>3+ years of end to end product delivery experience</li><li>Experience integrating UX research into customer experience, team culture, development process, and design principles</li><li>Experience managing and deploying ML products</li><li>Experience leading engineering discussions around technology decisions and strategy related to a product</li><li>Experience working with data and leveraging analytics to make decisions</li><li>Demonstrated high curiosity for and awareness of the latest generative AI tools and industry trends</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in building and driving adoption of new tools</li><li>Experience in advertising, marketing technologies, or working with creative teams</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Product Manager-Technical - AI Creative Generation, Ads CreativeX

Genpact

<p></p><div><div><div>Ready to build the future with AI?</div><div>
At Genpact, we don&rsquo;t just keep up with technology&mdash;we set the pace. AI and digital innovation are redefining industries, and we&rsquo;re leading the charge. Genpact&rsquo;s AI Gigafactory, our industry-first accelerator, is an example of how we&rsquo;re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies&rsquo; most complex challenges.</div><div>
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquo;s possible, this is your moment.</div><div>
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions &ndash; we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.</div><div>
Inviting applications for the role of Vice President, Data Science and Insights Lead &ndash; Agentic AI</div><div>
We are seeking a visionary Data Science Lead to drive advanced analytics and insights for Agentic AI initiatives. This role will lead the development of intelligent, agent-driven solutions and deliver actionable insights through cutting-edge data science methodologies.</div><div></div><div><br>
Responsibilities</div><ul><li>Leadership in Data Science:</li><li>Define and execute the data science strategy for Agentic AI and SLM domains.</li><li>Lead a team of data scientists and analysts to deliver high-impact solutions.</li><li>Agentic Insights &amp; Analytics Reporting:</li><li>Develop frameworks for agent-driven insights and predictive analytics.</li><li>Design and implement reporting systems that enable real-time decision-making.</li><li>Cross-functional Collaboration:</li><li>Partner with engineering, product, and business teams to align data science initiatives with organizational goals.</li><li>Optional but Preferred Expertise:</li></ul><div>
Experience in data engineering, data services, data quality, and data governance to ensure robust and scalable solutions.</div><div>
Qualifications we seek in you!</div><div>
Minimum Qualifications</div><ul><li>Proven experience in leading data science teams and delivering enterprise-level AI/ML solutions.</li><li>Strong expertise in advanced analytics, predictive modeling, and agent-based systems.</li><li>Familiarity with data engineering and governance practices is a plus.</li><li>Excellent communication and stakeholder management skills.</li></ul><div></div><div><br>
Why join Genpact?</div><ul><li>Lead AI-first transformation &ndash; Build and scale AI solutions that redefine industries</li><li>Make an impact &ndash; Drive change for global enterprises and solve business challenges that matter</li><li>Accelerate your career&mdash;Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills</li><li>Grow with the best &ndash; Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace</li><li>Committed to ethical AI &ndash; Work in an environment where governance, transparency, and security are at the core of everything we build</li><li>Thrive in a values-driven culture &ndash; Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress</li></ul><div>
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.</div><div>
Let&rsquo;s build tomorrow together.</div><div></div><div><br>
The approximate annual base compensation range for this position is [$160,000 to $200,000]. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant&rsquo;s experience, knowledge, skills, and abilities; geographic location; and internal equity</div><div></div><div><br>
Work-from-Anywhere Roles &ndash; &ldquo;Los Angeles California-based candidates are not eligible for this role&rdquo;</div><div>
Location-based Roles (e.g., Richardson roles &ndash; metro area can be adjusted by role location) &ndash; &ldquo;Los Angeles, California based candidates are not eligible for this role. &lt;Dallas Metro&gt; area candidates are eligible for this role only.&rdquo;</div><div></div><div><br>
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.</div><div>
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing</div></div><p></p><p><br>
JobVice President</p><p>
Primary LocationUSA-New York</p><p>
ScheduleFull-time</p><p>
Education LevelBachelor's / Graduation / Equivalent</p><p>
Job PostingJan 9, 2026, 11:42:35 AM</p><p>
Unposting DateMar 10, 2026, 1:29:00 PM</p><p>
Master Skills ListDigital</p><p>
Job CategoryFull Time</p></div>

Vice President, Data Science and Insights Lead – Agentic AI

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Sponsored Products and Brands (SPB) team at Amazon Ads is transforming advertising through generative AI technologies. We help millions of customers discover products and engage with brands across Amazon.com and beyond. Our team combines human creativity with artificial intelligence to reinvent the entire advertising lifecycle&mdash;from ad creation and optimization to performance analysis and customer insights.<br>
<br>
We develop responsible AI technologies that balance advertiser needs, enhance shopping experiences, and strengthen the marketplace. Our team values innovation and tackles complex challenges that push the boundaries of what's possible with AI.<br>
<br>
Join us in shaping the future of advertising.<br>
<br>
Key job responsibilities<br>
This role will redesign how ads create personalized, relevant shopping experiences with customer value at the forefront. Key responsibilities include:<br>
<br>
<ul><li>Design and develop solutions using GenAI, deep learning, multi-objective optimization and/or reinforcement learning to transform ad retrieval, auctions, whole-page relevance, and shopping experiences.</li><li>Partner with scientists, engineers, and product managers to build scalable, production-ready science solutions.</li><li>Apply industry advances in GenAI, Large Language Models (LLMs), and related fields to create innovative prototypes and concepts.</li><li>Improve the team's scientific and technical capabilities by implementing algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.</li><li>Mentor junior scientists and engineers to build a high-performing, collaborative team.</li></ul><br>
A day in the life<br>
As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced&mdash;elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon&rsquo;s rich data and the world&rsquo;s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science.<br>
<br>
About the team<br>
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Demonstrated expertise in Generative AI technologies, including foundation models, LLMs, and model customization for specific business applications</li><li>Hands-on experience building ads ranking, retrieval, recommendation, or personalization systems that operate at web scale</li><li>Technical proficiency in advanced AI approaches such as multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF)</li><li>Track record of designing and implementing online experimentation frameworks, including A/B testing methodologies and performance metrics for advertising or e-commerce</li><li>Proven ability to translate complex technical concepts into clear explanations for diverse audiences, from engineers to executives</li><li>Deep knowledge of computational advertising fundamentals, including auction mechanisms, advertising economics, and advertiser success metrics</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Applied Scientist, Sponsored Products and Brands, Off-Search

Viatouch Media Inc

<p>Senior Data Scientist &mdash; ML/GenAI, Personalization &amp; Real-Time Scoring (Viatouch Vicki AI)Summary</p><p>We&rsquo;re hiring a Senior Data Scientist to build <b>production ML + GenAI</b> that makes <b>Viatouch Vicki</b> smarter in real time: <b>personalized ads/offers/samples</b>, <b>low-latency scoring</b>, and <b>LLM-driven insights</b> that are grounded in our data.</p><p>What You&rsquo;ll Do</p><ul><li><b>Personalization / Next-Best-Action:</b> Build ranking/propensity models to decide what Vicki shows next (content, offer, sample, question) based on context + behavior.</li><li><b>Real-Time Scoring in AWS:</b> Deploy low-latency inference with monitoring, drift detection, versioning, and safe rollback.</li><li><b>LLMs + RAG + Agents:</b> Create data-grounded assistants that answer questions, summarize campaigns, explain anomalies, and analyze open-ended feedback (with traceability/guardrails).</li><li><b>Prompting + Fine-Tuning + Evaluation:</b> Build prompt libraries, run model evaluations, reduce hallucinations, and set quality gates for releases.</li><li><b>Data Modeling for ML + BI:</b> Curate warehouse/lake datasets, create <b>Redshift</b> views, and support <b>QuickSight</b> dashboards used internally and by partners.</li><li><b>Fraud-Aware Signals:</b> Incorporate risk/anomaly signals so personalization and measurement aren&rsquo;t polluted by abuse.</li></ul><p>What You Bring</p><ul><li>Proven experience shipping <b>ML to production</b> (not just notebooks).</li><li>Strong <b>Python + SQL</b>; solid ML fundamentals (classification, ranking, clustering, evaluation).</li><li>Experience with <b>personalization/recommendations</b> and real-time decisioning.</li><li>AWS proficiency (deploying, scaling, monitoring).</li><li>Clear communicator who can lead projects end-to-end.</li></ul><p>Tech Stack (Core)</p><p><b>AWS, Redshift, QuickSight, Python, SQL, TensorFlow</b> (or equivalent), ETL/ELT (Talend a plus), Spark/Hadoop as needed, Bash.</p><p>If you want it even punchier, I can compress this into a <b>10&ndash;12 line posting</b> optimized for LinkedIn/Indeed.</p><p>Job Type: Full-time</p><p>Pay: $108,401.13 - $130,547.59 per year</p><p>Work Location: Hybrid remote in New York, NY 10001</p>

Senior Data Scientist

Oscar Health

<div><p>Hi, we're Oscar. We're hiring a Data Scientist to join our Data team.</p>
<p>
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves&mdash;one that behaves like a doctor in the family.</p>
<p><b>
About the role:</b></p>
<p>
As a Data Scientist I, you will partner closely with our Market P&amp;L, Tech and Legal teams to develop models and tooling to better understand Oscar's medical costs across its networks. You will develop a deep understanding of healthcare reimbursement and use various data sources to inform negotiations, establish reimbursement for out-of-network providers, and help manage medical costs for Oscar members.</p>
<p>
You will report into the Senior Data Scientist.</p>
<p><b>
Work Location: </b>This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid</p>
<p><b>
Pay Transparency: </b>The base pay for this role is: $119,200- $156,450 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.</p>
<p><b>
Responsibilities:</b></p>
<ul>
<li>Responsible for the creation, implementation, and maintenance of data pipelines. This includes ensuring the accuracy, reliability, and timeliness of data flow with the support of a manager.</li>
<li>Support upkeep and enhancement of our models. This involves regular model testing, validation, and refinement to ensure the models remain effective and up-to-date with the latest industry standards and practices.</li>
<li>Develop advanced analytics and validation checks on data and statistical model outputs under the review of a manager at critical points. This includes identifying potential issues, anomalies, or inconsistencies in the data, and implementing corrective measures to ensure the integrity of our models and analyses.</li>
<li>Collaborate closely with data leaders and business teams to enhance overall data processes. This involves understanding their needs and requirements, providing them with the necessary data support, and working together to develop strategies and solutions that improve our risk adjustment processes and outcomes.</li>
<li>Compliance with all applicable laws and regulations</li>
<li>Other duties as assigned</li>
</ul>
<p><b>Requirements:</b></p>
<ul>
<li>A bachelor's degree in a technical field OR 1+ years of relevant work experience</li>
<li>1+ years experience working with SQL or intermediate Python [For example, working with multiple data sources]</li>
<li>1+ years experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis</li>
</ul>
<p><b>Bonus points:</b></p>
<ul>
<li>Master's degree in a technical field</li>
<li>Knowledge of or previous work experience in health care or health insurance</li>
</ul><div><p>
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.</p>
<p>
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care - an experience made whole by our unique backgrounds and perspectives.</p>
<p><b>
Pay Transparency: </b>Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.</p>
<p><b>
Artificial Intelligence (AI): </b>Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.</p>
<p><b>
Reasonable Accommodation: </b>Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.</p>
<p><b>
California Residents:</b> For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.</p></div></div>

Data Scientist I: Network and Contracts

<div><p>Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team.</p>
<p>
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves&mdash;one that behaves like a doctor in the family.</p>
<p><b>
About the role:</b></p>
<p>
Oscar's data team is focused on pushing our understanding of this complex landscape of health insurance. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product.</p>
<p>
As a Data Scientist II, you will partner closely with our Market P&amp;L, Tech and Legal teams to develop models and tooling to better understand Oscar's medical costs across its networks. You will develop a deep understanding of healthcare reimbursement and use various data sources to inform negotiations, establish reimbursement for out-of-network providers, and help manage medical costs for Oscar members.</p>
<p>
You will report into the Senior Data Scientist.</p>
<p><b>
Work Location: </b>This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid</p>
<p><b>
Pay Transparency: </b>The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.</p>
<p><b>
Responsibilities:</b></p>
<ul>
<li>Responsible for the creation, implementation, and maintenance of data pipelines. This includes ensuring the accuracy, reliability, and timeliness of data flow with the support of a manager.</li>
<li>Support upkeep and enhancement of our models. This involves regular model testing, validation, and refinement to ensure the models remain effective and up-to-date with the latest industry standards and practices.</li>
<li>Develop advanced analytics and validation checks on data and statistical model outputs under the review of a manager at critical points. This includes identifying potential issues, anomalies, or inconsistencies in the data, and implementing corrective measures to ensure the integrity of our models and analyses.</li>
<li>Collaborate closely with data leaders and business teams to enhance overall data processes. This involves understanding their needs and requirements, providing them with the necessary data support, and working together to develop strategies and solutions that improve our risk adjustment processes and outcomes.</li>
<li>Ensures processes and policies are aligned with departmental strategies and roadmaps</li>
<li>May mentor junior data scientists and/or analysts</li>
<li>Compliance with all applicable laws and regulations</li>
<li>Other duties as assigned</li>
</ul>
<p><b>Requirements:</b></p>
<ul>
<li>3+ years of industry or other quantitative technical fields (which may include academia).</li>
<li>2+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data</li>
<li>2+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing</li>
</ul>
<p><b>Bonus points:</b></p>
<ul>
<li>Masters degree in a quantitative or technical field</li>
<li>Knowledge of or previous work experience in health care or health insurance</li>
</ul><div><p>
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.</p>
<p>
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care - an experience made whole by our unique backgrounds and perspectives.</p>
<p><b>
Pay Transparency: </b>Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.</p>
<p><b>
Artificial Intelligence (AI): </b>Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.</p>
<p><b>
Reasonable Accommodation: </b>Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.</p>
<p><b>
California Residents:</b> For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.</p></div></div>

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