data analyst

data engineer

software engineer

data engineer ii

ai engineer

senior software engineer analytics

Louis Vuitton

<div>
 
 About The Job
 
 
 
 Louis Vuitton Americas is seeking a Senior Data Scientist &ndash; Analytics and AI Data to join our Digital team based in New York City. This individual will act as a hybrid data scientist, MLOps engineer, BI SME, business analyst, and data engineer, while owning the roadmap of analytics and AI solutions that can be industrialized and scaled by central teams. You will sit at the intersection of local business needs and global data/AI strategy, ensuring solutions are impactful, scalable, and aligned with enterprise priorities.
 
 
 Job responsibilities
 
 
 <ul>
 <li>
 Product Strategy &amp; Cross-Functional Roadmap:
 
 </li>
 <ul>
 <li>
 Lead the comprehensive analytics and AI roadmap, guiding it from opportunity identification and prioritization through delivery and transition to central teams.
 </li>
 <li>
 Collaborate with diverse functional stakeholders (e-commerce, retail, CRM, supply chain, finance, etc.) to identify use cases, define problem statements, and translate these into clear data product requirements.
 </li>
 <li>
 Establish success metrics, measure value realization, and continuously refine the roadmap based on impact and feedback.
 
 </li>
 </ul>
 <li>
 Data Science &amp; Advanced Analytics:
 
 </li>
 <ul>
 <li>
 Design and lead predictive models and analytical solutions utilizing Python and SQL.
 </li>
 <li>
 Conduct thorough exploratory data analysis, feature engineering, model training, validation, and comprehensive documentation.
 </li>
 <li>
 Develop reusable analytical assets (scores, segments, KPIs) for broad application across various markets and functions.
 
 </li>
 </ul>
 <li>
 MLOps &amp; Data Engineering:
 
 </li>
 <ul>
 <li>
 Collaborate with MLOps and Data Engineering teams to develop, orchestrate, and maintain robust data and machine learning pipelines, leveraging tools such as Dataiku and Google BigQuery.
 </li>
 <li>
 Implement best practices for testing, version control, monitoring, and observability to ensure the creation of reliable, production-grade solutions.
 </li>
 <li>
 Partner with central data engineering and platform teams to align initiatives with enterprise standards and promote scalability.
 </li>
 <li>
 Work alongside business, local, and central Data Engineering teams to facilitate data integration and validation, effectively addressing diverse business challenges.
 
 </li>
 </ul>
 <li>
 BI, Insights &amp; Business Analysis:
 
 </li>
 <ul>
 <li>
 Act as a Business Intelligence Subject Matter Expert, contributing to the definition of semantic layers, Key Performance Indicators (KPIs), and data models that enable self-service analytics.
 </li>
 <li>
 Guide or develop insightful dashboards and reports using tools like Power BI, Tableau, or Looker, ensuring their actionability and broad adoption across the organization.
 </li>
 <li>
 Perform business analysis, meticulously gathering requirements, mapping processes, and transforming analytical findings into clear recommendations and compelling narratives for various stakeholders.
 
 </li>
 </ul>
 <li>
 Collaboration with Central / Global Teams:
 
 </li>
 <ul>
 <li>
 Prepare and package local or cross-functional solutions, including code, design specifications, documentation, and KPIs, for industrialization and ongoing maintenance by central teams.
 </li>
 <li>
 Contribute to the continuous evolution of global data and AI standards, reference architectures, and best practices.
 </li>
 <li>
 Represent cross-functional analytics and AI needs in global forums, effectively highlighting dependencies, potential risks, and opportunities for scaling solutions.
 
 
 </li>
 </ul>
 </ul>
 Profile
 
 
 We are excited to speak to skilled and experienced data professional with 3+ years of hands-on experience in data science, analytics, or data engineering, demonstrating end-to-end ownership of data products. The ideal candidate will possess strong proficiency in Python (pandas, NumPy, scikit-learn), advanced SQL skills, and experience with cloud data warehouses such as Google BigQuery. Practical experience with enterprise data processing platforms like Dataiku is also essential. Candidates should have demonstrated expertise in at least three of the following areas: data science/machine learning, BI/reporting and metric design, business analysis/stakeholder management, data engineering/data processing, or Gen AI/Agentic AI product deployment. Strong communication and storytelling abilities are crucial for fostering collaboration between business and technical teams.
 
 
 Preferred qualifications include experience in retail, luxury, fashion, or consumer environments, familiarity with experimentation (A/B testing), customer analytics (segmentation, propensity, churn, LTV), or marketing attribution. Exposure to Generative AI/LLMs and their application to customer experience and productivity, along with experience in a hub-and-spoke operating model, are also highly valued. Core competencies for this role include transversal product thinking, technical breadth spanning data science, MLOps, BI, data analysis, and data engineering, the ability to lead initiatives effectively across functions and geographies, and a strong outcome orientation focused on measurable business value and long-term maintainability.
 
 
 The appointed candidate will be offered a base salary within the range USD $140,000 - $160,000, a comprehensive benefits package including: medical, dental, vision, short and long-term disability, various paid time off programs, employee discount/perks and two retirement plans both with employer contributions.
 
 
 <ul>
 <li>
 Please note that restrictions may apply to part-time employees
 
 
 </li>
 </ul>
 
 The position requires 4 days per week on site in the Louis Vuitton Corporate Office, located in the heart of Midtown, Manhattan.
 
 
 
 Additional information
 
 
 Louis Vuitton is a company that respects the uniqueness of each employee and offers everyone the means to find their place and prosper. We promote initiatives aimed at supporting professional equality for everyone. We strive to go above and beyond purely symbolic measures by building a culture passionate about meaningful strategies aimed at crafting an inclusive workforce.
 
 
 In addition to a generous benefits package, unparalleled career development opportunities, both locally &amp; globally, as an employee at Louis Vuitton, you can expect to be provided with industry leading training which will offer you an in-depth insight into the luxury and retail environment.
 
 
 Reference LVM32143
</div>

Senior Data Scientist – Analytics and AI Data

Data Engineer, Product Analytics

JPMorganChase

<div>JOB DESCRIPTION 
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer - Precious Metals / Front Office / Athena at JPMorgan Chase within the Commercial and Investment Banking - Precious Metals and Agriculture - Commodities Tech team, you will be an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities<ul><li>
Works closely with Trading, Quantitative Research, Sales and Middle Office teams to deliver quality code in a fast paced environment</li><li>
Acts as the regional lead for the Precious Metals and Agricultural products team supporting the regional needs of the precious metals business while remaining aligned with the global team and global priorities.
</li><li>Acts as the direct manager for the NYC based software engineering team, helping drive business results through the team</li><li>
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors</li><li>
Develops secure and high-quality production code, and reviews and debugs code written by others</li><li>
Drives decisions that influence the product design, application functionality, and technical operations and processes</li><li>
Promotes and drives cross-functional collaboration with Core Technology teams and Business teams to deliver innovative, scalable solutions
</li><li>Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle</li><li>
Influences peers and project decision-makers to consider the use and application of leading-edge technologies</li><li>
Adds to the team culture of diversity, opportunity, inclusion, and respect</li></ul>
Required qualifications, capabilities, and skills<ul><li>
Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise</li><li>
Degree in Computer Science, Information Systems, Math or equivalent training and relevant experience</li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability</li><li>
Experience in performant, large-scale system development in an object-oriented or functional language such as Python, Java, etc.</li><li>
Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, object-oriented programming, full stack development - end to end, quantitative finance, etc.)</li><li>
Ability to tackle design and functionality problems independently with little to no oversight</li><li>
Must have a strong understanding of end-to-end business processes</li><li>
Enthusiastic to keep learning and growing, in technical aptitude and business understanding</li><li>
Previous software engineering team management experience</li></ul>
<div>Preferred qualifications, capabilities, and skills</div><ul><li>
Software development experience in commodities, finance, or investment banking preferred, or willingness to rapidly learn the business domain</li><li>
Willingness to become proficient and develop in Python if not already a primary language</li><li>
Ability to collaborate with other technology teams to deliver end to end solutions to the business in a constantly changing environment</li><li>
Excellent interpersonal skills to interact confidently and credibly with business users, to understand and agree business requirements and their prioritization</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Senior Lead Software Engineer - Precious Metals / Front Office / Athena

X Development

<div><div><div><div>Software EngineeringNew York, NY
</div>
</div></div><div><div><div>About Tapestry

Tapestry is Alphabet&rsquo;s moonshot for the electric grid, working at the frontier where energy&rsquo;s complexity meets AI&rsquo;s potential. We were born at X, the innovation lab responsible for breakthrough technologies like Waymo, Verily and Google Brain.

To keep pace with humanity&rsquo;s growing energy needs, the world needs a grid that is visible and understandable. We provide that clarity by building advanced, AI-enabled analytical and planning tools that allow the entire energy ecosystem to plan smarter, move faster, and operate more efficiently&mdash;ensuring electricity remains reliable and affordable for everyone.

This is a global effort. Tapestry is proud to support partners in the U.S., U.K., Chile, New Zealand, Australia and Brazil as they build a cleaner, more resilient energy future.
Joining Tapestry allows you to do the best work of your life as part of a multidisciplinary team of experts in AI, energy systems, software engineering and product design&mdash;all collaborating to reshape energy on a global scale. If you want to tackle problems that matter and build tools with real impact, we would love to meet you. Learn more about our team and our mission here.

About the role

As a senior backend software engineer building Tapestry&rsquo;s Agentic Data Platform you will build a data platform to serve the needs of all of Tapestry. You will design and implement LLM-enabled semantic ingestion, enrichment, and discovery of multi-modal data so that the platform is Agentic aware from inception. You will work closely with other software engineers, machine learning experts, power systems domain experts, and product managers to plan, coordinate, and integrate your work.

This is your dream job if you are passionate about building the foundational data services that bridge real-world physical assets with cloud-scale AI, ensuring our mission-critical services are ready to serve the data needed for the modernization of the global grid.

How you will make 10X Impact
<ul>
<li>Design and implement massive-scale, secure, enterprise-grade data infrastructure and shared backend services that form the core of Tapestry&rsquo;s Agentic Data platform.</li>
<li>Build low-latency streaming infrastructure for large-scale data processing and modeling, ensuring our AI-driven simulations can scale to manage the world's most complex power grids.</li>
<li>Partner with a cross-functional team of engineers, PMs, AI researchers, and power systems experts to translate complex business requirements into products driving real-world impact.
</li><li>Interface with external partners to refine technical requirements, and rapidly develop prototypes to evaluate feasibility.</li>
</ul>
What you should have:
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.</li>
<li>3-5 years of experience building enterprise-grade complex software systems and applications with a strong grasp of foundational computer science concepts to optimize code performance and memory usage.</li>
<li>Excellent problem solving skills and ability to navigate complex/ambiguous situations.</li>
<li>Proficiency in at least one major backend language (Java/Kotlin or Golang preferred).</li>
<li>Experience with microservices architecture, including use of RESTful APIs, gRPC, event-driven design patterns, and Cloud SQL (PostgreSQL/MySQL).
</li><li>Experience managing multi-modal data such as blobs, structured data and free form text, including databases and objects.</li>
<li>Knowledge of logging and monitoring tools (e.g., Prometheus, Grafana, GCP cloud monitoring) to troubleshoot production issues.</li>
<li>Hands-on experience with Google Cloud Platform (preferred) or AWS/Azure.</li>
</ul>
.

It&rsquo;d be great if you also had one or more of these:
<ul>
<li>Working knowledge or background in power systems or electric grid technologies.</li>
<li>Experience with data governance, data protection or data sovereignty.</li>
<li>Experience with building full-stack applications including frameworks such as Angular.</li>
<li>Knowledge of enterprise security architectures, compliance standards and zero-trust security models.</li>
<li>Experience working in high-growth or &quot;zero-to-one&quot; environments.</li>
</ul>
Our values
<ul>
<li>Take charge: We take initiative and own outcomes that move the mission forward.</li>
<li>Transform with purpose: We build solutions that solve real problems and create meaningful impact.</li>
<li>Be a Tapestry, not a thread: We collaborate across diverse skills and perspectives to achieve more than we can individually.</li>
<li>Always fine-tune: We stay curious, seek feedback, and refine our understanding as we learn.</li>
<li>Stay grounded: We listen openly, value different perspectives, and stay focused on what matters most.</li>
</ul>
What we offer

A culture that supports growth, ownership, and meaningful impact, along with:
<ul>
<li>Competitive salary and equity</li>
<li>Medical, dental, and vision coverage</li>
<li>Generous PTO and flexible hybrid work model</li>
<li>401(k) with employer contribution</li>
<li>Professional development</li>
<li>The ability to work on important real-world problems within an Alphabet-backed environment</li>
</ul>
The US base salary range for this full-time position is $161,000 - $194,000 + bonuses + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
 
 
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, or benefits.

</div></div></div><div><div><h2 class="jobSectionHeader">An Equal Opportunity Workplace</h2>

At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

If you have a disability or special need that requires accommodation, please contact us at x-accommodation-request@x.team.</div></div></div>

Senior Backend Software Engineer, Agentic Data Platform (Tapestry)

James Search Group

<div>
 
 
 AI/ML Engineer
 
 
 
 
 Location:
 
 New York, NY
 
 
 
 Compensation:
 
 $135,000 &ndash; $175,000 base + bonus + full benefits, (401(k), and more)
 
 
 
 Industry:
 
 Global P&amp;C Insurance
 
 
 
 
 
 
 About the role and the company.
 
 
 
 James Search Group is working closely with a top-tier global property &amp; casualty insurance carrier to identify an
 
 AI/ML Engineer
 
 to join their enterprise Data and Artificial Intelligence division. This team is driving innovation across the business by developing and scaling AI capabilities that unlock new value and improve decision-making across underwriting, claims, and customer engagement.
 
 
 
 
 
 As an AI/ML Engineer, you'll collaborate with senior team members to build, refine, and deploy predictive models and intelligent systems. The ideal candidate is skilled in analytics, curious by nature, and passionate about transforming complex data into practical solutions that deliver measurable business impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Support the development and deployment of AI/ML models&mdash;including classification, forecasting, uplift and propensity modeling, and foundational model tuning.
 </li>
 <li>
 Collaborate with cross-functional teams to identify use cases where data science can enhance operational efficiency and business performance.
 </li>
 <li>
 Partner with business, IT, and strategy teams to ensure AI models are scalable, impactful, and aligned with organizational goals.
 </li>
 <li>
 Communicate analytical findings clearly to stakeholders with varying levels of technical knowledge.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative discipline; Ph.D. a plus.
 </li>
 <li>
 Minimum of 2 years&rsquo; experience applying advanced analytics methods (e.g., decision trees, logistic regression, neural networks, random forests).
 </li>
 <li>
 Proficiency in R or Python for analytics and model development, including work with both structured and unstructured data.
 </li>
 <li>
 Proven ability to manage and integrate large, complex datasets and an understanding of end-to-end data modeling processes.
 </li>
 <li>
 Strong written and verbal communication skills with the ability to connect technical outputs to business strategy.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Internship or project experience in machine learning, AI engineering, or related roles&mdash;especially in insurance or financial services.
 </li>
 <li>
 Familiarity with actuarial concepts or insurance-specific data models.
 </li>
 <li>
 Enthusiastic about continued learning in AI/ML and staying current with new tools and methodologies.
 </li>
 <li>
 Comfortable in a collaborative, fast-paced, and agile working environment.
 </li>
 </ul>
 
 
 
 
 This is a unique opportunity to grow your career with a highly respected organization investing in next-generation analytics.
 
 
 
 
 
 
 Apply today
 
 to help reshape the future of insurance through data and AI innovation.
 
</div>

Machine Learning Engineer

Gambit Technologies

<div>
 
 
 Senior Data Engineer | NYC Hybrid (4 Days per-week Onsite)
 
 
 
 
 
 
 High-impact role. Real ownership. Build something that actually matters.
 
 
 We&rsquo;re partnering with a large, mission-driven organization tackling complex challenges across public impact initiatives. They&rsquo;re investing heavily in modernizing their data platform and are looking for a senior, hands-on engineer to lead the charge.
 
 
 This is not a maintenance role. You&rsquo;ll help define the future state.
 
 
 
 
 
 What You&rsquo;ll Be Doing
 
 
 You&rsquo;ll sit at the intersection of engineering and strategy, helping transition a legacy BI environment into a modern, cloud-native data platform.
 
 <ul>
 <li>
 Design and build a cloud-based data warehouse or lakehouse from the ground up
 </li>
 <li>
 Lead the migration from an on-prem SQL Server BI stack to scalable cloud architecture
 </li>
 <li>
 Build and optimize data pipelines that actually perform at scale
 </li>
 <li>
 Own data modeling, testing, observability, and CI/CD best practices
 </li>
 <li>
 Reduce technical debt and stabilize production systems during the transition
 </li>
 <li>
 Partner directly with business stakeholders to deliver meaningful insights
 </li>
 <li>
 Help define standards and mentor others on the team
 </li>
 </ul>
 
 Current Environment
 
 <ul>
 <li>
 SQL Server (data warehouse)
 </li>
 <li>
 Tableau (primary BI tool)
 </li>
 <li>
 Evolving toward modern cloud data platforms
 </li>
 </ul>
 
 What You Bring
 
 <ul>
 <li>
 Strong hands-on Tableau experience (non-negotiable)
 </li>
 <li>
 Deep SQL skills, including large-scale query optimization
 </li>
 <li>
 Proven experience with data modeling for analytics/reporting
 </li>
 <li>
 Experience working with business stakeholders, not just hiding behind code
 </li>
 <li>
 Ability to translate messy data into clear, actionable insights
 </li>
 </ul>
 
 
</div>

Senior Data Engineer

Datavant

<div><div>Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world's health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient's request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. 
 
By joining Datavant today, you're stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare.</div>
What We're Looking For

We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data.

You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale.

This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to:
<ul>
<li>Design and develop models to extract entities, detect intents, and understand document structure</li>
<li>Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs</li>
<li>Evaluate model performance where ground truth is partial, uncertain, or evolving</li>
<li>Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions</li>
</ul>
We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out.

What You Will Do
<ul>
<li>Play a key role in the success of our products by developing models for document understanding tasks.</li>
<li>Perform error analysis, data cleaning, and other related tasks to improve models.</li>
<li>Collaborate with your team by making recommendations for the development roadmap of a capability.</li>
<li>Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines.</li>
<li>Understand product use-cases and define key performance metrics for models according to business requirements.</li>
<li>Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.).</li>
</ul>
What You Need to Succeed
<ul>
<li>6+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models.</li>
<li>Expertise with Python</li>
<li>Experience with the latest developments in language models (transformers, LLMs, etc.)</li>
<li>Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc.</li>
<li>Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow</li>
<li>Industry experience shepherding ML/AI projects from ideation to delivery</li>
<li>Demonstrated ability to influence company KPIs with AI</li>
<li>Demonstrated ability to navigate ambiguity</li>
</ul>
What Helps You Stand Out
<ul>
<li>Experience with document layout analysis (using vision or multi-modal approaches).</li>
<li>Experience with Spark/PySpark</li>
<li>Experience with Databricks</li>
<li>Experience in the healthcare industry</li>
</ul>
After 3 Months, You Will&hellip;
<ul>
<li>Have a strong grasp of technologies upon which our platform is built.</li>
<li>Be fully integrated into ongoing model development efforts with your team.</li>
</ul>
After 1 Year, You Will&hellip;
<ul>
<li>Be independent in reading literature and doing research to develop models for new and existing products.</li>
<li>Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed.</li>
<li>Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations.</li>
</ul>
#LI-BC1<div>
To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion.
 
 
This job is not eligible for employment sponsorship. 
 
Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. 
 
At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. 
 
Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. 
<div>
<div><div><div>For more information about how we collect and use your data, please review our Privacy Policy.</div></div></div></div></div></div>

Senior Data Scientist, NLP

Explore 1174+ Senior software engineer analytics in New York this May. Find roles across top companies and apply now to boost your career.