prime services technology business analysis senior manager - vice president

data analyst

data scientist

data engineer

prime services technology business analysis senior manager - vice president Jobs in New York

senior business analyst

senior data scientist

Andiamo

<div>
 Senior Data Scientist
 
 
 
 About The Role
 
 
 
 Partner with product and engineering to turn data into decisions. You&rsquo;ll design experiments, build predictive models, and deliver insights that move key metrics.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Frame problems, define success metrics, and design A/B tests or quasi-experiments.
 </li>
 <li>
 Build models for prediction, ranking, segmentation, or forecasting.
 </li>
 <li>
 Develop data pipelines and features with engineering partners.
 </li>
 <li>
 Communicate results clearly to technical and non-technical audiences.
 </li>
 <li>
 Establish best practices for measurement, causal inference, and model monitoring.
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 6+ years in applied data science or analytics.
 </li>
 <li>
 Proficiency in Python, SQL, and ML libraries (pandas, scikit-learn, PyTorch/TensorFlow).
 </li>
 <li>
 Experience with experimentation, causal methods, or time-series.
 </li>
 <li>
 Strong stakeholder management and storytelling with data.
 
 
 </li>
 </ul>
 
 About Andiamo
 
 
 
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 
 
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 
 
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>

Senior Data Scientist - Medical Software Company

CHANEL

<div>
 
 At Chanel, we are focused on creating an inclusive culture that nurtures personal growth, contributing to collective progress. We believe the uniqueness of each individual increases the diversity, complementarity, and effectiveness of our teams. We strongly encourage your application, as we value the perspective, experience and potential you could bring to CHANEL.
 
 
 
 
 About the role:
 
 
 
 CHANEL is now hiring a Data Scientist for our Digital Client Experience (DCX) Data team in New York City. Our ideal Data Scientist is able and experienced to lead advanced analytics and data-driven initiatives that enhance our client experiences digitally and in boutiques. This role will define and execute the data science roadmap, develop machine learning models, and establish best practices&mdash;while operating as a stand-alone contributor within the DCX Data Team.
 
 
 Beyond technical delivery, this role will play a pivotal part in making CHANEL US more AI-driven, piloting Generative AI projects, and driving adoption of advanced analytics across teams through effective change management.
 
 
 
 Required tech:
 
 Python, R, Machine Learning, Big Query, SQL, etc.
 
 
 
 What impact you can create at CHANEL:
 
 
 
 
 <ul>
 <li>
 Own and execute the data science roadmap for CHANEL US, aligned with digital transformation priorities.
 </li>
 <li>
 Design and implement advanced analytics solutions, including predictive modeling, machine learning, and AI-driven use cases.
 </li>
 <li>
 Lead AI adoption initiatives, introducing innovative approaches and piloting Generative AI projects for business impact while protecting the brand.
 </li>
 <li>
 Drive change management to embed advanced analytics into day-to-day workflows, helping teams embrace technology and new ways of working.
 </li>
 <li>
 Establish data science best practices and frameworks for scalable, production-ready models.
 </li>
 <li>
 Execute end-to-end projects: data preparation, feature engineering, model development, deployment, and monitoring.
 </li>
 <li>
 Implement ML Ops practices for model lifecycle management and scalability.
 </li>
 <li>
 Develop data pipelines and automation workflows, including API integrations for system connectivity.
 </li>
 <li>
 Collaborate cross-functionally with Business teams, legal, Tech, and external partners to integrate solutions into production workflows.
 </li>
 <li>
 Manage stakeholders effectively, ensuring alignment and buy-in across Fragrance &amp; Beauty, Fashion, Watches &amp; Fine Jewelry (WFJ) divisions.
 </li>
 <li>
 Communicate complex concepts simply, delivering clear narratives and actionable recommendations to senior leadership.
 </li>
 <li>
 Promote data storytelling and experimentation (e.g., A/B testing) to validate impact and foster a culture of innovation.
 
 
 
 </li>
 </ul>
 
 You are energized by:
 
 
 
 
 <ul>
 <li>
 Exceptional critical and creative thinking skills including evaluating risks and contingencies, developing structure in ambiguity
 </li>
 <li>
 Data-driven decision making for products and services
 </li>
 <li>
 Excellent project management and communication skills
 </li>
 <li>
 Connecting the dots on pain points, bring a key eye for details and expert problem perception with solutions mindset
 </li>
 <li>
 Ability to translate technical jargon into simple business terms
 </li>
 <li>
 Working in a highly collaborative environment
 </li>
 <li>
 Building strong partnerships across business and technology teams in a global organization
 </li>
 <li>
 Championing change and fostering a culture of accountability and innovation
 
 
 
 </li>
 </ul>
 
 What you will bring to the team:
 
 
 
 
 <ul>
 <li>
 Experience with personalization, recommendation of engines, and segmentation
 </li>
 <li>
 API integration and automation skills (e.g., building pipelines, connecting systems) are a strong plus
 </li>
 <li>
 Familiarity with Salesforce CRM systems and digital transformation programs
 </li>
 <li>
 Luxury retail or client-centric industries favorable but not required
 
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 
 <ul>
 <li>
 Minimum of 7 years of experience in data science roles with proven ability to deliver projects independently
 </li>
 <li>
 Expert-level coding skills in Python or R, with strong experience in developing and deploying machine learning models
 </li>
 <li>
 SQL proficiency is mandatory for data manipulation and querying large datasets
 </li>
 <li>
 Hands-on experience with Google Big Query as a core analytics platform
 </li>
 <li>
 Familiarity with Generative AI frameworks and emerging AI technologies
 </li>
 <li>
 Experience with MLOps tools and version control (e.g., Git)
 </li>
 <li>
 Strong business acumen and ability to influence organizational change
 </li>
 <li>
 Exceptional communication and stakeholder management skills, including the ability to simplify complexity for senior leaders
 
 
 
 </li>
 </ul>
 
 Position Logistics:
 
 
 
 
 <ul>
 <li>
 Hybrid work &ndash; required 3 days onsite at CHANEL offices in New York City
 </li>
 <li>
 Minimum of 7 years of experience in data science roles with proven ability to deliver projects independently
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science or equivalent
 </li>
 <li>
 Chanel, Inc. reserves the right to edit, change, or make exceptions on designations where circumstances where deemed appropriate.
 
 
 
 </li>
 </ul>
 
 
 
 Compensation:
 
 
 
 
 <ul>
 <li>
 The anticipated base salary range for this position is $87,500-$190,000. A base salary is one component of the total compensation for this position. Other forms of variable pay [may/will] be offered for this position. Other components [may/will] include bonus potential, benefits, and/or perks.
 
 
 
 </li>
 </ul>
 
 Benefits and Perks:
 
 
 
 
 <ul>
 <li>
 Wellbeing resources include dedicated paid time off for wellbeing (2-week August Office Closure) and a Wellbeing fund
 </li>
 <li>
 Family and care giving benefits (inclusive of parental leave, fertility support, MilkStork, and Care.com Membership)
 </li>
 <li>
 Generous paid time off policies to include vacation, holiday, sick and volunteer days
 </li>
 <li>
 401K and other incentives
 </li>
 <li>
 Robust healthcare offerings; medical, dental, vision, MDLIVE (virtual care), One Medical, Flexible Spending Accounts (Health Care &amp; Dependent Care), Health Savings Account and Employee Assistance Program
 </li>
 <li>
 Life insurance, Accidental Death &amp; Dismemberment, Short Term Disability, Long Term Disability, Health Advocate, International Business Travel Accident &amp; Medical, and Commuter Transit &amp; Parking
 
 
 
 </li>
 </ul>
 
 Additional Information:
 
 
 
 Chanel is a private company whose values are grounded in creating conditions for people to perform at their best and feel fulfilled and confident in their work. We offer a unique work environment where individuals are encouraged to better understand the brand, the business, and motivations, so that together we can unlock the possibilities of growth. This is reflected in:
 
 
 
 Diversity and Inclusion:
 
 
 
 
 <ul>
 <li>
 At CHANEL, we are intentional in promoting Diversity &amp; Inclusion. We foster respect, empathy, and dignity for all. We believe strongly that the diversity of our people across the full spectrum of human differences is essential to our organisation and the connections we have with each other and our clients.
 </li>
 <li>
 We offer Employee Resource Groups in the US that are voluntary, open to all, employee-led groups formed around a shared identity or lived experience, whose aim is to foster a diverse, inclusive, and equitable community aligned with the values and missions of the communities they support.
 
 
 
 </li>
 </ul>
 
 Chanel Community:
 
 
 
 
 <ul>
 <li>
 CHANEL Community empowers our employees to channel their passions, talents and sense of purpose to contribute to and learn from our communities.
 </li>
 <li>
 Employees are encouraged to take time off annually to volunteer through CHANEL Community. CHANEL also matches employee donations to select charitable organizations.
 
 
 
 </li>
 </ul>
 
 Sustainability:
 
 
 
 
 <ul>
 <li>
 CHANEL Mission 1.5&deg; is our climate action plan. It is focused on transforming the business in line with the ambitions of the Paris Agreement on climate change to limit the average global mean temperature increase to 1.5 degrees Celsius above preindustrial levels.
 </li>
 <li>
 Employees are encouraged to contribute to our US Sustainability efforts at the corporate level and within the divisions, through organized taskforces and initiatives.
 
 
 
 </li>
 </ul>
 
 Arts and Culture:
 
 
 
 
 <ul>
 <li>
 We are committed to extending our legacy of cultural engagement. Global support includes the CHANEL Culture Fund, which supports a select group of leading art culture institutions across the globe, and the CHANEL Next Prize for the next generation of creative talent. US support currently includes Annual sponsorship of the MoMA film program, Tribeca Film Festival programs and Through Her Lens, Support of the Academy Gold Fellowship for Women and Sponsorship of the BAAND Together Dance Festival at Lincoln Center.
 
 
 
 </li>
 </ul>
 
 Fondation Chanel:
 
 
 
 
 <ul>
 <li>
 Since 2011, Fondation CHANEL&rsquo;s mission is for women and girls to be free to shape their own destiny.  Through multi-year partnerships with financial and technical support, Fondation CHANEL is committed to improving the safety and autonomy of women and adolescent girls around the world, impacting over a million women and girls in its first 10 years.
 </li>
 <li>
 For more information, please navigate to the Fondation Chanel website here
 
 
 
 </li>
 </ul>
 
 Career and Leadership Development:
 
 
 
 
 <ul>
 <li>
 We have dedicated in-house teams focused on supporting the onboarding of employees, developing leadership skills via custom programs like Imagine Chanel People, Heart of Leadership and group and individual coaching, and blended online and live classes offered on our Bloom platform and by skilled trainers, such as Shape Your Career, to develop career building skills.
 </li>
 <li>
 Chanel, Inc. benefits and perks are dependent on eligibility and subject to modification by Chanel at any time.
 
 </li>
 </ul>
</div>

Data Scientist

ALICE + OLIVIA

<div>
 
 Location: New York, NY or Secaucus, NJ (Hybrid)
 
 
 Decision Science Engineer (Applied Data Scientist)
 
 
 
 
 
 
 POSITION SUMMARY:
 
 
 
 ALICE + OLIVIA is hiring a Decision Science Engineer to build, operationalize, and own predictive models that improve decision making across Planning, Merchandising/Buying, Customer 360, and Inventory Management. Working primarily within Palantir Foundry as the core analytics and deployment platform, this role bridges data science and platform engineering, translating real-world commercial constraints including seasonality, product lifecycle, allocations, replenishment, promotions/markdowns, and customer behavior into practical, production-grade, human-in-the-loop models.
 
 
 
 
 
 This is a highly cross-functional role with direct, ongoing exposure to business stakeholders and end users, from planners and buyers who consume and act on model outputs, to the teams working within Foundry Workshop applications day-to-day. Understanding how outputs are used in real workflows, and staying close to the people using them, is central to how this role operates. Sitting within the IT organization and serving the full business including DTC, wholesale, planning, and supply chain, this position carries direct visibility to executive business stakeholders. This role is focused on applied data science, decision-support modeling, and model operationalization, not reporting or core data engineering, while partnering closely with Engineering, BI, and the broader Enterprise Applications team.
 
 
 
 
 
 
 RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Design, build, and maintain predictive and statistical models supporting retail planning, buying, inventory, and demand forecasting.
 </li>
 <li>
 Operationalize models within Palantir Foundry using Code Workbook and Code Repository, working against Snowflake as the primary data source and ensuring outputs are production-grade and maintainable.
 </li>
 <li>
 Own and evolve analytics logic and assumptions embedded in planning and buying workflows.
 </li>
 <li>
 Partner with Planning, Buying, Merchandising, and DTC teams to translate business needs into model-driven insights, maintaining direct, ongoing relationships with the stakeholders and end users consuming model outputs.
 </li>
 <li>
 Collaborate with the Enterprise Applications team on Workshop app development to ensure model outputs are surfaced effectively in business-facing Foundry applications.
 </li>
 <li>
 Build models for customer segmentation, CLV, retention/churn, propensity, and campaign targeting (Customer 360).
 </li>
 <li>
 Collaborate with Engineering, who owns data pipelines and Snowflake ingestion, to ensure model inputs are reliable, well-governed, and fit for purpose without owning the underlying data infrastructure.
 </li>
 <li>
 Support human-in-the-loop workflows where planners and buyers can interrogate, override, or adjust model outputs in real time.
 </li>
 <li>
 Validate model outputs against business reality and historical performance, closing the loop directly with end users on model accuracy and relevance.
 </li>
 <li>
 Document methodologies and assumptions to support long-term ownership and institutional knowledge.
 </li>
 </ul>
 
 
 
 
 
 QUALIFICATIONS:
 
 
 <ul>
 <li>
 4 to 8+ years of experience in data science, applied analytics, or predictive modeling.
 </li>
 <li>
 Strong experience building predictive or statistical models including forecasting, optimization, regression, and classification.
 </li>
 <li>
 Proficiency in Python for data analysis, modeling, and production-grade code.
 </li>
 <li>
 Strong SQL and hands-on experience with Snowflake or equivalent cloud data warehouse.
 </li>
 <li>
 Experience with Palantir Foundry strongly preferred, including familiarity with the Foundry Ontology layer, analytics and modeling tooling (Code Workbook, Code Repository), and how model outputs are surfaced through business-facing applications. Candidates who can reason within and contribute to an existing Ontology, and who understand how the semantic data layer connects to model design, will be prioritized.
 </li>
 <li>
 Familiarity with experiment design and causal inference.
 </li>
 <li>
 Experience with time-series forecasting at scale.
 </li>
 <li>
 Retail domain experience strongly preferred, including familiarity with demand vs net sales, sell-through, markdowns, planning vs buying workflows, seasons, price groups, and store vs e-commerce dynamics.
 </li>
 <li>
 Experience working with messy, real-world data and designing models that support business judgment.
 </li>
 <li>
 Ability to reason about semantic or ontology-based data models.
 </li>
 <li>
 Strong communication and relationship skills, comfortable working directly with planners, buyers, and business stakeholders, and able to translate model outputs into decisions, not just insights.
 </li>
 <li>
 Long-term ownership mindset for maintaining and evolving models over time.
 </li>
 <li>
 Hands-on experience building or contributing to Palantir Foundry Workshop applications.
 </li>
 <li>
 Background in wholesale or multi-channel retail, including familiarity with the operational differences between DTC, wholesale, and brick-and-mortar planning cycles.
 </li>
 <li>
 Exposure to agent-based or AI-assisted analytics workflows.
 </li>
 <li>
 Experience working within a formal data governance or steerco-driven prioritization structure.
 </li>
 <li>
 Familiarity with Snowflake-native development patterns including dbt, Snowpark, or similar.
 </li>
 </ul>
 
 
 
 
 
 ADDITIONAL INFORMATION:
 
 
 
 This role sits within the IT organization, reporting to the VP of Information Technology, and operates across the full business including Planning, Merchandising/Buying, DTC, and Supply Chain. Engineering owns ETL, data pipelines, and Snowflake ingestion. BI owns reporting and dashboards. This role owns predictive modeling, decision-support analytics, and model operationalization within Palantir Foundry. Work is prioritized through a cross-functional steering committee with direct business stakeholder representation, ensuring this role has structured visibility into commercial priorities and executive-level exposure from day one.
 
 
 
 
 
 ALICE + OLIVIA is at an inflection point in how it uses data to make decisions. This role is central to that transformation, building the analytics capability that connects our Palantir Foundry investment to real commercial outcomes across every part of the business. This is not a role that maintains existing infrastructure or produces reports. It is a greenfield opportunity to own a strategic function, work directly with the teams making decisions, and build something that compounds in value over time. For the right person, it is a rare combination of technical depth, business proximity, and organizational support.
 
 
 
 
 
 $150,000 -175,000 base salary (This range represents the low and high end of the anticipated base salary range for this NY OR NJ - based position. The base salary will depend on numerous factors such as: experience and qualifications for the role, experience level, skillset, and balancing internal equity relative to other A+O employees.)
 
</div>

MatchPoint

<div>
 
 MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like
 
 Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more!
 
 More recently, we have expanded to working internationally in
 
 Canada, China, Ireland, UK, Brazil, and India
 
 . Through our culture of innovation, we inspire, build, and deliver business results, from ideas to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.
 
 
 
 
 
 We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!
 
 
 
 
 
 
 Job Title: Data Scientist -Growth Analytics
 
 
 
 
 Location: New York City, NY (Hybrid-3 days a week)
 
 
 
 
 Employment Type: Fulltime
 
 
 
 
 
 
 
 
 
 
 
 Responsibilities Growth Strategy &amp; Acquisition
 
 
 <ul>
 <li>
 
 Pricing &amp; Incentive Strategy:
 
 Design and test dynamic pricing models and incentive structures (e.g., first-order discounts, owner bonuses). You will mathematically determine how to stoke demand and aid conversion without eroding our contribution profit margins, ensuring every dollar of "discount" generates long-term ROI.
 </li>
 <li>
 
 The Growth Equation:
 
 Model our acquisition channels (Organic, Paid, Referral, Ambassadors). You will identify which channels have the highest LTV/CAC ratio and tell us where to double down.
 </li>
 <li>
 
 Viral Loops:
 
 Analyze our referral and sharing behaviors. You will calculate our K-factor (virality) and identify product changes to keep our users as our best marketing channel.
 </li>
 </ul>
 
 
 
 
 
 Marketplace Liquidity &amp; Retention
 
 
 <ul>
 <li>
 
 Supply-Led Growth:
 
 Analyze how inventory levels drive organic growth. Does adding 100 power owners in Chicago unlock 1,000 new customers? You will tell us where to focus supply acquisition.
 </li>
 <li>
 
 The "Magic Moments":
 
 Identify the specific user behaviors that lead to long-term retention (e.g., "Users who rent within 7 days of signup retain at 3x").
 </li>
 <li>
 
 Churn Prediction:
 
 Build models to identify at-risk users before they leave, allowing our CX team to intervene.
 </li>
 </ul>
 
 
 
 
 
 Product Conversion (CRO)
 
 
 <ul>
 <li>
 
 Funnel Optimization:
 
 Own the granular analysis of our demand and supply funnels. You will find the leaks in the bucket and design A/B tests to plug them.
 </li>
 <li>
 
 Experimentation:
 
 Help the product team design valid experiments. You ensure we aren't just shipping features, but moving metrics with statistical significance.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 
 The "Grinder" Mentality:
 
 You are relentlessly curious. You are the type of person who can't put something down until you figure out the why.
 </li>
 <li>
 
 Growth Native:
 
 You speak the language of growth: CAC, LTV, ROAS, K-Factor, Churn, and Cohorts. You understand that "Data Science" is a tool to make money and grow the user base.
 </li>
 <li>
 
 Product Fluency:
 
 You understand product growth loops and can quickly execute and extract insights from demand funnels and A/B tests
 </li>
 <li>
 
 5+ Years Experience:
 
 Ideally in a Consumer Marketplace or high-growth B2C app. You have seen how a company scales and understand the data infrastructure needed to support it.
 </li>
 <li>
 
 Note:
 
 We are open to less experience if you have exceptional raw talent and a portfolio of solving complex growth problems.
 </li>
 <li>
 
 Technical Fluency:
 
 Expert-level SQL. Proficient in Python/R for modeling. Experience with growth stacks (PostHog, Mixpanel, AppsFlyer, Segment) and visualization tools.
 </li>
 </ul>
 
 
 
 
 
 
 
 MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
 
 
 
 
 
 This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
 
</div>

Data Scientist with Growth Analytics

Tempus AI

<div>
 
 Passionate about precision medicine and advancing the healthcare industry?
 
 
 
 Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
 
 
 
 About The Role
 
 
 
 The Real World Evidence (RWE) group within the Pharma R&amp;D team at Tempus works with major pharmaceutical partners to provide best-in-class data, analysis, and methodological guidance for Tempus&rsquo;s real-world data offering.
 
 
 We are seeking a highly motivated and solutions-oriented RWE Data Scientist II with experience and interest in oncology and epidemiological study design to join our team. This role requires the ability to lead observational studies, derive insights from complex real-world clinical data, implement advanced statistical methods, and leverage cutting-edge AI tools to scale tasks and augment insights.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Pharma Collaboration &amp; Strategy: Partner with pharmaceutical collaborators to independently execute robust RWE research plans that leverage the Tempus multimodal platform to address key questions in trial design and outcomes research.
 </li>
 <li>
 Real World Data Expertise: Lead the derivation of complex real-world endpoints using extensive coding, demonstrating deep comprehension of Tempus clinical and molecular data structures and complexity, while also serving as an expert on the methodological nuances and limitations of real-world data.
 </li>
 <li>
 Methodology &amp; Platform Contribution: Stay up-to-date on methodological advancements in real-world studies (e.g., causal inference, survival analysis) and oncology guidelines (NCCN and ongoing clinical trials) to contribute to reusable code, internal packages, and best practices that can be applied across multiple collaborations.
 </li>
 <li>
 AI &amp; LLM Innovation: Incorporate LLMs, agentic workflows and other AI tools into day-to-day workflows to accelerate code development, discovery, documentation, review, and insight generation.
 </li>
 <li>
 Scientific Interpretation &amp; Communication: Interpret results of RWE analyses to draw appropriate inferences based on study design/statistical methods, while also evaluating study limitations. Communicate complex methods and results clearly to both technical and non-technical stakeholders. Prepare and present internal reports, external-facing deliverables, and, where appropriate, manuscripts or conference materials.
 </li>
 <li>
 Cross-Functional Collaboration: Collaborate with internal product, oncology, and clinical abstraction, and real-world data science teams to continually enhance Tempus data quality, products, and analytical best practices.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Education: Education in epidemiology, biostatistics, data science, public health, or a related field, to the level of either:
 </li>
 <ul>
 <li>
 PhD
 </li>
 <li>
 Master&rsquo;s degree and 2+ years of additional work experience
 </li>
 </ul>
 <li>
 Technical and Statistical Proficiency:
 </li>
 <ul>
 <li>
 Proficiency with observational real-world healthcare data, including analytical experience with time-to-event methodologies (survival analysis).
 </li>
 <li>
 Proven expertise in executing RWD analytical studies.
 </li>
 <li>
 Proficient in using R and SQL, especially statistical tools and packages.
 </li>
 <li>
 Proficiency applying machine learning, LLM-based coding assistants (e.g., Copilot, Cursor) and agentic frameworks to support data analysis, code review, or scientific documentation workflows.
 </li>
 <li>
 Adherence to good software engineering practices (version control, modular code, documentation).
 </li>
 </ul>
 <li>
 Communication &amp; Client Focus: Demonstrated experience interfacing with clients, showcasing adeptness in presenting and tailoring messaging to a variety of stakeholders.
 </li>
 <li>
 Soft Skills: Excellent written and verbal communication skills with strong project management skills. Ability to thrive in a fast-paced, dynamic environment working with multi-disciplinary scientists on complex problems.
 
 </li>
 </ul>
 
 Preferred Skillsets
 
 
 
 <ul>
 <li>
 Experience working with Pharma or drug development.
 </li>
 <li>
 Experience in clinical trial design (particularly Phase II-III) in the clinical development space.
 </li>
 <li>
 Analytical proficiency with claims, EHR, or registry data.
 </li>
 <li>
 Practical experience configuring or adapting LLMs, or using related tools/frameworks, to support scientific work.
 </li>
 <li>
 Knowledge of oncology guidelines (e.g., NCCN).
 </li>
 <li>
 Experience with biomarker or molecular data (e.g., genomics).
 </li>
 <li>
 Experience with cloud platforms such as AWS and/or BigQuery and/or Google Cloud Platform (GCP).
 
 
 </li>
 </ul>
 CHI: $90,000-$135,000 USD
 
 
 NYC/SF: $100,000-$150,000 USD
 
 
 The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
 
 
 Additionally,
 
 
 for remote roles open to individuals in unincorporated Los Angeles
 
 &ndash; including remote roles-
 
 Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
 
 
 We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
</div>

Data Scientist II, Real World Evidence (RWE), Pharma R&D

Deutsche Bank

<div>
 
 
 
 Job Description:
 
 
 
 
 
 Job Title:
 
 AFC Modelling &ndash; Data Scientist
 
 
 
 Corporate Title:
 
 Associate - Vice President
 
 
 
 Location:
 
 New York, NY
 
 
 
 
 
 
 Overview
 
 
 
 
 Group Strategic Analytics , GSA concentrates Deutsche Bank&rsquo;s quantitative and modelling expertise within a single unit. With group-wide responsibility for model development, GSA takes a cross-business and cross-functional approach to solving quantitative modelling, analytics scenarios, and rolls out common development standards.
 
 
 
 
 
 
 
 Modelling supports the Anti Financial Crime (AFC) function, which performs a crucial role in keeping Deutsche Bank&rsquo;s business operations and global financial services clean from financial crime while serving the interests of the Bank and society. Our regional/global matrix structure allows for flexible responses to challenges in the core areas of: Anti-Money Laundering, Sanctions &amp; Embargoes, Anti-Fraud, Bribery &amp; Corruption, Investigations &amp; Intelligence, Monitoring &amp; Screening, and Risk Assessment.
 
 
 
 
 
 
 
 Our team will provide you with opportunities to learn, grow and define your career. We foster an open, diverse, and inclusive team culture, that is engaged and well-supported for prosperity and enjoyment of a life/work balance.
 
 
 
 
 
 
 
 What We Offer You
 
 
 <ul>
 <li>
 A diverse and inclusive environment that embraces change, innovation, and collaboration
 </li>
 <li>
 A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days
 </li>
 <li>
 Employee Resource Groups support an inclusive workplace for everyone and promote community engagement
 </li>
 <li>
 Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits
 </li>
 <li>
 Educational resources, matching gift and volunteer programs
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Drive model implementation (from prototype to production), following rigorous coding, testing, and documentation best practice
 </li>
 <li>
 Responsible for Driving and execution of the Anti-Money Laundering (AML) Transaction Monitoring Americas data strategy in line with the Global Data Strategy/Framework
 </li>
 <li>
 Develop and evolve platform reporting statistics/data to monitor ongoing model success; perform 'deep dives' to interpret data quality issues, identify remediation and track to resolution
 </li>
 <li>
 Represent the group in various data governance forums, and clearly communicate data related issues and potential resolution paths
 </li>
 <li>
 Work with Business (1LOD) to understand the products being offered and define specifications/red flags for Transaction Monitoring models
 </li>
 <li>
 Review and address open AML TM findings in a timely fashion, work in partnership with AFC stakeholders to develop and drive initiatives that transform and modernize the capabilities and services of Monitoring within the AFC function
 </li>
 </ul>
 
 
 
 
 
 How You&rsquo;ll Lead
 
 
 <ul>
 <li>
 Establish a clear vision and goals for the team, Inspire the team to perform well and achieve business goals; provide guidance and instruction to the team, and coach them as needed.
 </li>
 <li>
 Oversee daily activities and progress towards goals, and ensure the team is adequately equipped to perform their duties.
 </li>
 <li>
 Prioritize tasks and allocating tasks to the team accordingly. The role will be collaborating across multiple teams within the M&amp;S (Monitoring &amp; Screening) function.
 </li>
 </ul>
 
 
 
 
 
 Skills You&rsquo;ll Need
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Data Science, Management Information System (MIS), Information Management, or equivalent
 </li>
 <li>
 Previous relevant experience conducting data science or Model Development in a business setting coupled with excellent programming skills, predominantly across the Python/Anaconda suite (Scikit-learn, Pandas, Numpy)
 </li>
 <li>
 Experience in Financial Crimes space with expertise in AML Transaction Monitoring and Advisory, with a deep understanding of transaction monitoring data for various lines of businesses, AML red flags, and AML typologies.
 </li>
 <li>
 Proficient in Financial Crime Compliance covering multiple product lines, such as Correspondent Banking, Private Banking, Wealth Management, Brokerage, Trade, and Asset Management.
 </li>
 <li>
 Demonstrated experience in Relational databases, Structured Query Language (SQL), Big Data Hadoop, Hive Query Language (HQL), Data visualization tools.
 </li>
 </ul>
 
 
 
 
 
 Skills That Will Help You Excel
 
 
 <ul>
 <li>
 Flexible and able to adapt to urgent deliverable timelines
 </li>
 <li>
 A positive outlook in a goal-oriented organization
 </li>
 <li>
 Able to demonstrate excellent analytical, judgment, and research skills
 </li>
 <li>
 Meticulous with a strong attention to detail and the ability to multitask
 </li>
 <li>
 Able to interpret complex requirements and work proactively with stakeholders in different organizational units
 </li>
 </ul>
 
 
 
 
 
 Expectations
 
 
 
 
 
 
 It is the Bank&rsquo;s expectation that employees hired into this role will work in the New York City office in accordance with the Bank&rsquo;s hybrid working model.
 
 
 
 
 
 Deutsche Bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion.
 
 
 
 
 
 The salary range for this position in New York City is $110,000 to 252,500. Actual salaries may be based on a number of factors including, but not limited to, a candidate&rsquo;s skill set, experience, education, work location and other qualifications. Posted salary ranges do not include incentive compensation or any other type of remuneration.
 
</div>

AFC Modelling - Data Scientist - Associate - Vice President

Capital One

<div>Senior Lead Data Engineer
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
What You&rsquo;ll Do:<ul><li>
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</li><li>
Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems</li><li>
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake</li><li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 6 years of experience in application development (Internship experience does not apply)</li><li>
At least 2 years of experience in big data technologies</li><li>
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)</li></ul>
Preferred Qualifications:<ul><li>
Master's Degree</li><li>
9+ years of experience in application development including Python, SQL, Scala, or Java</li><li>
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li><li>
5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)</li><li>
4+ year experience working on real-time data and streaming applications</li><li>
4+ years of experience with NoSQL implementation (Mongo, Cassandra)</li><li>
4+ years of data warehousing experience (Redshift or Snowflake)</li><li>
4+ years of experience with UNIX/Linux including basic commands and shell scripting</li><li>
2+ years of experience with Agile engineering practices</li><li>
Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York, NY: $250,800 - $286,200 for Sr. Lead Data Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Senior Lead Data Engineer

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