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data scientist, product analytics Jobs in New York

data scientist, product analytics

data scientist product analytics

Data Scientist, Product Analytics

<div>
 As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
 
 
 Data Scientist, Product Analytics Responsibilities:
 
 
 <ul>
 <li>
 Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
 </li>
 <li>
 Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
 </li>
 <li>
 Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
 </li>
 <li>
 Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
 </li>
 <li>
 Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
 
 
 </li>
 </ul>
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
 </li>
 <li>
 Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
 </li>
 <li>
 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
 </li>
 <li>
 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors &amp; long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Master's or Ph.D. Degree in a quantitative field
 </li>
 <li>
 Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
 </li>
 <li>
 Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
 </li>
 <li>
 Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 
 
 </li>
 </ul>
 About Meta:
 
 
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 
 
 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 
 
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 
 
 $119,000/year to $173,000/year + bonus + equity + benefits
 
 
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
</div>

Oscar Health

<div>
 Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team.
 
 
 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 - one that behaves like a doctor in the family.
 
 
 
 About The Role
 
 
 
 Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. 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.
 
 
 As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you&rsquo;ll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions.
 
 
 This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight.
 
 
 You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process.
 
 
 
 Work Location:
 
 This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe 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.
 
 
 
 Pay Transparency:
 
 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.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions
 </li>
 <li>
 Own projects end-to-end, including problem definition, implementation, validation, and iteration
 </li>
 <li>
 Deliver high-quality analytical and modeling outputs with limited manager oversight
 </li>
 <li>
 Collaborate closely with data science peers and cross-functional partners across business units
 </li>
 <li>
 Help ensure data science processes and outputs align with broader team strategies and roadmaps
 </li>
 <li>
 Provide guidance or informal mentorship to junior data scientists or analysts when needed
 </li>
 <li>
 Contribute to improving data science practices, tooling, and documentation
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both)
 </li>
 <li>
 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data
 </li>
 <li>
 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in a quantitative or technical field
 </li>
 <li>
 Knowledge of or previous work experience in health care or health insurance
 </li>
 <li>
 Experience mentoring or supporting junior team members
 </li>
 <li>
 Experience deploying or supporting models in production environments
 
 
 </li>
 </ul>
 This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.
 
 
 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.
 
 
 
 Pay Transparency:
 
 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.
 
 
 
 Artificial Intelligence (AI):
 
 Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.
 
 
 
 Reasonable Accommodation:
 
 Oscar applicants are considered solely based on their qualifications, without regard to applicant&rsquo;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.
 
 
 
 California Residents:
 
 For information about our collection, use, and disclosure of applicants&rsquo; personal information as well as applicants&rsquo; rights over their personal information, please see our Privacy Policy.
 
 
</div>

Data Scientist II

Plaid

<div>
 We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid&rsquo;s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
 
 
 The Data team within Plaid&rsquo;s Fraud organization builds the machine learning systems that power Plaid&rsquo;s newest fraud detection products, leveraging the breadth of Plaid&rsquo;s network data to stop fraud before it occurs. We manage the full lifecycle of these systems&mdash;from feature pipeline development and model training to deployment, serving, and monitoring&mdash;ensuring our solutions scale reliably as we grow to support hundreds of customers.
 
 
 As a Data Scientist on Plaid&rsquo;s Fraud Data team, you will analyze customer and network traffic to understand how Protect performs across different segments and use cases. You&rsquo;ll build dashboards and performance metrics that create a clear, shared view of product health for both the team and our go-to-market partners. You will run backtests on customer traffic to evaluate model and rule performance, uncover high-value opportunities, and generate insights that support sales motions and customer expansion. You&rsquo;ll also design the underlying data models and schemas that enable efficient, reliable analysis and reporting. In close partnership with Product and Engineering, you will help design and evaluate experiments that shape new customer-facing features and inform the future of our fraud products.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Work at the intersection of product analytics, machine learning, and fraud/risk to drive meaningful product improvements.
 </li>
 <li>
 Own the metrics, dashboards, and experimentation frameworks that inform product strategy and decision-making.
 </li>
 <li>
 Analyze complex datasets to uncover clear, actionable insights that shape product direction.
 </li>
 <li>
 Partner with go-to-market teams to demonstrate the technical and business value of our products to customers.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 5+ years of total experience, including at least 2&ndash;3 years working deeply with product analytics, machine learning. experimentation, or data-driven products.
 </li>
 <li>
 Strong proficiency in SQL and Python.
 </li>
 <li>
 Hands-on experience with product analytics, experimentation frameworks, or backtesting methodologies.
 </li>
 <li>
 Skilled in designing, building, and maintaining dashboards and core product performance metrics.
 </li>
 <li>
 Capable of designing and interpreting backtests or offline evaluations for ML and rules-based systems.
 </li>
 <li>
 Excellent communicator with strong stakeholder-management skills across diverse teams.
 </li>
 <li>
 Background in fraud or risk domains &mdash; Nice to have.
 </li>
 <li>
 Familiarity with data-insights products and a solid understanding of model-performance metrics &mdash; Nice to have.
 </li>
 <li>
 Exposure to customer-facing or GTM-facing analytics &mdash; Nice to have.
 
 
 </li>
 </ul>
 $214,800 - $286,800 a year
 
 
 The target base salary for this position ranges from $214,800/year to $286,800/year [in Zone 1, in Zone 4 or encompassing all Zones]. The target base salary will vary based on the job's location.
 
 
 
 Our Geographic Zones Are As Follows
 
 
 
 Zone 1 - San Francisco / New York City / Seattle
 
 
 Zone 2 - Los Angeles / Washington DC / Austin / Boston / Sacramento / San Diego
 
 
 Zone 3 - Atlanta / Portland / Chicago / Philadelphia / Denver / Miami / Dallas / Raleigh
 
 
 Zone 4 - All other US cities
 
 
 The base salary range listed for this full-time position excludes commission (if applicable), equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training.
 
 
 Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
 
 
 Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected] .
 
 
 Please review our Candidate Privacy Notice here .
</div>

Senior Data Scientist - Fraud

Roku

<div>
 
 Teamwork makes the stream work.
 
 
 
 
 
 
 Roku is changing how the world watches TV
 
 
 
 Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
 
 
 From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
 
 
 
 
 
 
 
 
 
 About the team
 
 
 
 The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business.
 
 
 
 
 
 
 
 
 
 About the role
 
 
 
 Roku is looking for a Data Scientist to join the Core Analytics team and provide support for our Customer Intelligence function, part of the broader Planning &amp; Optimization team. Together, we answer high-impact business questions from senior leaders with clear, decision-ready insights. You&rsquo;ll work on customer analytics that directly shape how Roku grows engagement, retention and monetization across the streaming ecosystem, with visibility to cross-functional leaders and meaningful ownership over high-impact questions.
 
 
 
 
 
 This role is more than analytics and is intentionally &ldquo;business-forward&rdquo;. We're looking for someone who can translate customer behavior into metrics and narratives which can help define our customer strategy, and/or measure the impact of initiatives on customer behavior. You&rsquo;ll be expected to translate ambiguous stakeholder needs into strong analytical narratives and executive-ready deliverables. Familiarity with causal inference/experimentation is important; deep specialization is a plus but not required. This is a hybrid role with four days per week in the office, Monday through Thursday. The selected candidate will be based out of NYC.
 
 
 For New York Only - The estimated annual salary for this position is between $135,000-$153,000 annually.
 
 
 
 
 
 Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
 
 
 
 
 
 
 
 
 
 What you'll be doing
 
 
 <ul>
 <li>
 Own end-to-end analyses: scope the question, define success metrics, pull data, analyze, synthesize, and deliver data-driven narratives.
 </li>
 <li>
 Drive stakeholder alignment: clarify objectives, assumptions, tradeoffs, and decision points; ensure outputs are usable.
 </li>
 <li>
 Build crisp storytelling &amp; presentations: create executive-ready readouts (slides, memos) with clear &ldquo;so what / now what.&rdquo;
 </li>
 <li>
 Develop SQL and Python-based workflows: write and review SQL/Python code to create datasets, compute KPIs, and validate results; use Airflow to maintain and build new pipelines when needed.
 </li>
 <li>
 Create reporting in Tableau/Looker: develop dashboards or recurring scorecards that make performance tracking easier and reduce ad-hoc churn.
 </li>
 <li>
 Measurement &amp; causal thinking: apply or partner on quasi-experimental approaches (e.g., diff-in-diff, propensity matching, synthetic controls) with appropriate caveats to address incrementality questions.
 </li>
 <li>
 Raise analytical quality: ensure statistical rigor, bias awareness, and clear limitations.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 We're excited if you have
 
 
 <ul>
 <li>
 3+ years (or equivalent) in analytics/data science roles driving business decisions (tech, media, marketplaces, consumer products, etc.).
 </li>
 <li>
 Strong SQL (joins, window functions, building analysis-ready tables, QA/validation).
 </li>
 <li>
 Proficiency in Excel to work with data, tables and visualization.
 </li>
 <li>
 Strong ability to communicate insights: structured thinking, clear writing, confident presenting to non-technical and executive audiences.
 </li>
 <li>
 Solid foundation in statistics (hypothesis testing, confidence intervals, regression basics).
 </li>
 <li>
 Experienced with Python for analysis and data pipeline production (via Airflow).
 </li>
 <li>
 Hands-on experience with visualization tools like Tableau or Looker
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Our Hybrid Work Approach
 
 
 
 Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
 
 
 
 
 
 
 
 
 
 Benefits
 
 
 
 Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
 
 
 
 
 
 
 
 
 
 Accommodations
 
 
 
 Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
 
 
 
 
 
 
 
 
 
 The Roku Culture
 
 
 
 Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
 
 
 We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
 
 
 To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
 
 
 
 
 
 By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
 
</div>

Data Scientist

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

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>

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