afc modelling - data scientist - associate - vice president

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afc modelling - data scientist - associate - vice president Jobs in New York

data scientist

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. 
 
We are seeking an experienced Data Scientist to join the Sponsored Products Auction team. This team is responsible for building and evaluating mechanisms to rank and price billions of ad impressions per day. We're looking for a Data Scientist to define measures of auction efficiency and produce insights into the quality of inputs to our auction (supply, demand, ML model predictions). This role will also be responsible for exploratory data analysis to identify opportunities for improvement of the system and working closely with Economists, Applied Scientists and Engineers to improve our product. 
 
As a Data Scientist on this team, you will: 
<ul><li>Solve real-world problems by getting and analyzing large amounts of data, diving deep to identify business insights and opportunities, design simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, and Product Managers.</li><li>Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data
</li><li>Apply statistical and machine learning knowledge to specific business problems and data.</li><li>Build decision-making models and propose solution for the business problem you define.</li><li>Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.</li><li>Analyze historical data to identify trends and support optimal decision making.</li><li>Formalize assumptions about how our systems are expected to work, create statistical definition of the outlier, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.</li><li>Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.</li><li>Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.</li></ul> 
Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon&rsquo;s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate. 
 
Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. 
 
Team video https://youtu.be/zD_6Lzw8raE</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>2+ years of data scientist experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>Bachelor's degree</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in Python, Perl, or another scripting language</li><li>Experience in a ML or data scientist role with a large technology company</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 153,400.00 - 207,500.00 USD annually 
USA, WA, SEATTLE - 136,000.00 - 184,000.00 USD annually</div>

Data Scientist

TripleLift

<div><div>About TripleLift

We're TripleLift, an advertising platform on a mission to elevate digital advertising through beautiful creative, quality publishers, actionable data and smart targeting. Through over 1 trillion monthly ad transactions, we help publishers and platforms monetize their businesses. Our technology is where the world's leading brands find audiences across online video, connected television, display and native ads. Brand and enterprise customers choose us because of our innovative solutions, premium formats, and supportive experts dedicated to maximizing their performance.
As part of the Vista Equity Partners portfolio, we are NMSDC certified, qualify for diverse spending goals and are committed to economic inclusion. Find out how TripleLift raises up the programmatic ecosystem at triplelift.com.</div>
TripleLift, a fast-growing startup tackling some of the most challenging problems in the world of digital advertising, is seeking a Data Scientist with a focus on optimization strategies for our real-time ad marketplace. As a Data Scientist at TripleLift, you will contribute to experiments to understand bidding behaviors in our real-time marketplace, improving the performance of traffic shaping algorithms, and optimizing outcomes for Publishers, DSPs and TripleLift alike. You will build proof of concept models, put ML models in production, create reusable features and data structures, and collaborate with cross-functional teams to drive Data Science initiatives forward.

Responsibilities
<ul>
<li>Conduct research and experiments to improve the performance of our traffic shaping algorithms and maximize performance for our customers</li>
<li>Build new traffic shaping optimization strategies based on cutting edge research, build proof of concept ML models, and drive them to successful outcomes in full scale production</li>
<li>Support analytics projects in partnership with Product, Engineering, and cross-functional teams to support and influence product strategies</li>
<li>Monitor and measure statistical modeling performance, and build dashboards and alerts to ensure models are functioning effectively</li>
<li>Build reusable modules and data structures, and provide guidance and feedback to team members on their work, taking into account their skills, backgrounds and working styles</li>
<li>Take ownership of complex technical challenges, demonstrating initiative in navigating ambiguity and championing engineering best practices and innovation.</li>
</ul>
Qualifications
<ul>
<li>Bachelor's degree or higher in a related quantitative field (E.g. Mathematics, Computer Science, Engineering)</li>
<li>2+ years of work experience in Data Science / Machine Learning</li>
<li>Familiarity with tools used in our tech stack is a plus (e.g. Python, Spark, AWS, Docker, DataBricks, ONNX, MySQL, Snowflake and Airflow)</li>
<li>Familiarity with ML libraries like scikit-learn to quickly analyze data and prototype models that can be used in high volume distributed systems</li>
<li>Familiarity with monitoring and measuring statistical modeling performance via dashboards and alerts, using tools like Prometheus, Grafana, Looker, etc., to make sure models are functioning effectively</li>
<li>Solid software engineering fundamentals, including version control, testing, and writing clean, maintainable, and production-ready code</li>
<li>Excellent technical communication skills</li>
<li>Strong analytical and problem-solving skills</li>
<li>Committed to a process of continuous learning and spreading subject matter expertise</li>
</ul>
Technologies

From our early days, we've always believed in using the right tools for the right job and continue to explore new technology options as we grow. The Data Science team uses the following technologies at TripleLift:
<ul>
<li>Languages: Python, Java</li>
<li>Frameworks: Spark, DataBricks, ONNX, Docker, Airflow</li>
<li>Databases: MySQL, Snowflake, S3/Parquet</li>
<li>Amazon Web Services to keep everything running</li>
</ul><div>
Life at TripleLift

At TripleLift, we're a team of great people who like who they work with and want to make everyone around them better. This means being positive, collaborative, and compassionate. We hustle harder than the competition and are continuously innovating.
Learn more about TripleLift and our culture by visiting our LinkedIn Life page.

Establishing People, Culture and Community Initiatives

At TripleLift, we are committed to building a culture where people feel connected, supported, and empowered to do their best work. We invest in our people and foster a workplace that encourages curiosity, celebrates shared values, and promotes meaningful connections across teams and communities. We want to ensure the best talent of every background, viewpoint, and experience has an opportunity to be hired, belong, and develop at TripleLift. Through our People, Culture, and Community initiatives, we aim to create an environment where everyone can thrive and feel a true sense of belonging.

Privacy Policy

Please see our Privacy Policies on our TripleLift and 1plusX websites.

TripleLift does not accept unsolicited resumes from any type of recruitment search firm. Any resume submitted in the absence of a signed agreement will become the property of TripleLift and no fee shall be due.</div></div>

Deloitte

<div>
 
 Data Scientist -Project Delivery Senior Analyst - AI &amp; Engineering
 
 
 
 Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced
 
 Data Scientist,
 
 you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client's need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
 
 
 
 Work You'll Do/Responsibilities
 
 
 
 The Data Scientist will analyze, cleanse, and model complex data to help organizations make better decisions and predict future trends.
 
 
 <ul>
 <li>
 Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
 
 
 </li>
 </ul>
 
 The Team
 
 
 
 AI &amp; Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology &amp; data platforms. Our delivery models are tailored to meet each client's unique requirements.
 
 
 Our AI &amp; Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
 
 
 
 Required
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 4+ years of experience Proficiency with Python, statistical modeling, and machine learning frameworks (e.g. scikit-learn, PyTorch, TensorFlow).
 </li>
 <li>
 4+ years of experience with feature engineering, model development, validation, and deployment.
 </li>
 <li>
 4+ years of experience Understanding of MLOps pipelines, model versioning, monitoring, and retraining processes.
 </li>
 <li>
 4+ years of experience Ability to translate complex business problems into analytical solutions with measurable outcomes.
 </li>
 <li>
 4+ years of experience Strong knowledge of data wrangling, exploratory analysis, and visualization.
 </li>
 <li>
 4+ years of experience Familiarity with cloud ML services (e.g. SageMaker, Azure ML, Fabric ML).
 </li>
 <li>
 4+ years of experience communicating and explaining insights and model behavior to non-technical stakeholders
 </li>
 <li>
 Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
 </li>
 <li>
 Limited immigration sponsorship may be available
 </li>
 <li>
 Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Analytical/ Decision Making Responsibilities
 </li>
 <li>
 Analytical ability to manage multiple projects and prioritize tasks into manageable work products
 </li>
 <li>
 Can operate independently or with minimum supervision
 </li>
 <li>
 Excellent Written and Communication Skills
 </li>
 <li>
 Ability to deliver technical demonstrations
 
 
 </li>
 </ul>
 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $72,900-$134,000
</div>

DataAnnotation

<div>
 We are looking for a Data Scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 
 
 In this role you will need to hold an expert understanding of data analysis. Other related fields include, but are not limited to: Applied skills in Statistics and/or Computer Science.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 This is a full-time or part-time REMOTE position
 </li>
 <li>
 You&rsquo;ll be able to choose which projects you want to work on
 </li>
 <li>
 You can work on your own schedule
 </li>
 <li>
 Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots writing and editing tasks and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Demonstrated proficiency in related technical, statistical, and mathematical skills
 </li>
 <li>
 A current, in progress, or completed Masters and/or PhD is preferred but not required
 
 
 </li>
 </ul>
 
 Notes
 
 
 
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 
 
 #math
</div>

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>

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>

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

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