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associate product development manager

applied scientist sponsored products and brands

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through novel 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 ecosystem. 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.
<br>
<br>
Key job responsibilities<br>
As an Applied Scientist on our team, you will<br>
<br>
<ul><li>Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build recommendation systems that leverage generative models to develop and improve campaigns.</li><li>You invent and design new solutions for scientifically-complex problem areas and/or opportunities in new business initiatives.</li><li>You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You take ownership of these components, providing a system-wide view and design guidance. These systems or solutions can be brand new or evolve from existing ones.</li><li>Define a long-term science vision and roadmap for our Sponsored Brands advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists and engineering teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.</li><li>Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;</li><li>Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses;</li><li>Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems</li><li>Effectively communicate technical and non-technical ideas with teammates and stakeholders;</li><li>Translate complex scientific challenges into clear and impactful solutions for business stakeholders.</li><li>Mentor and guide junior scientists, fostering a collaborative and high-performing team culture.</li><li>Stay up-to-date with advancements and the latest modeling techniques in the field
</li></ul><br>
About the team<br>
We are on a mission to make Amazon the best in class destination for shoppers to discover, engage, and purchase relevant products, from brands that are relevant to them. In this role, you will design and implement Gen AI solutions that help millions of advertisers create more effective ad campaigns with intelligent recommendations, while improving the overall experience at Amazon's global scale.
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
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.</p><br>
USA, NY, New York - 172,400.00 - 223,400.00 USD annually<br>
USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, Sponsored Products and Brands

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through novel 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 ecosystem. 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.<br>
<br>
Key job responsibilities<br>
As an applied scientist on our team, you will<br>
<br>
<ul><li>Develop AI solutions for Sponsored Products and Brands advertiser and shopper experiences powered by video. You will build recommendation systems that leverage computer vision to develop and improve video performance and outcomes</li><li>You invent and design new solutions for scientifically-complex problem areas and/or opportunities in new business initiatives.</li><li>You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You take ownership of these components, providing a system-wide view and design guidance. These systems or solutions can be brand new or evolve from existing ones.</li><li>Define a long-term science vision and roadmap for our Sponsored Products and Brands advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists and engineering teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.</li><li>Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;</li><li>Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses;</li><li>Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems</li><li>Effectively communicate technical and non-technical ideas with teammates and stakeholders;</li><li>Translate complex scientific challenges into clear and impactful solutions for business stakeholders.</li><li>Mentor and guide junior scientists, fostering a collaborative and high-performing team culture.</li><li>Stay up-to-date with advancements and the latest modeling techniques in the field</li></ul><br>
About the team<br>
The Sponsored Videos team is responsible for the design, development, and implementation of Sponsored Products and Sponsored Brands Video experiences worldwide. We design and launch video based experiences, aiming to delight shoppers and advertisers worldwide.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li><li>Deep curiosity, and basic knowledge on Gen AI</li><li>Deep curiosity, and basic knowledge on Gen AI</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li><li>Previous work on agents, VLM's, or LLMs</li><li>Experience with computer vision</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
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.</p><br>
USA, NY, New York - 183,800.00 - 248,700.00 USD annually<br>
USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually</div><p></p>

Senior Applied Scientist, Sponsored Products and Brands

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
About Sponsored Products and Brands:
<br>
<br>
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.
<br>
<br>
About the role:
<br>
<br>
We're looking for an innovative and customer-obsessed Product Manager who will work backwards from our customers and take our products to the next level. This role will define product vision and drive execution for a new ad product to drive untapped business opportunities. You will engage with customers including advertisers, integrators, and partner teams to help formulate your vision, and define the features, goals and metrics that drive a substantial science and engineering team to turn your vision into product. You will work closely with software engineers and scientists making the right design decisions and trade offs aligned with the product vision and innovate on launching cutting edge machine learning models. You will define and execute on our go to market strategy to drive adoption and success of launching new controls for Sponsored Products if needed. You will tackle challenging problems and coordinate high profile projects across multiple teams. You will use customer anecdotes to find inspiration, and data analysis to confirm your suspicions. You'll contribute to the organizational planning for one of the largest advertising programs on the planet, present to senior executives, and evangelize your vision and promote wins to build your reputation as a leader.<br>
<br>
We are open to hiring in Seattle and New York.<br>
<br>
Key job responsibilities<br>
This role focuses on identifying and activating untapped revenue potential on Amazon through Sponsored Product, balancing user experience with sustainable monetization.<br>
<br>
Lead discovery of high-impact monetization opportunities through data-driven analysis of user behavioral patterns<br>
<br>
Develop adaptive advertising strategies for high-visibility engagement touchpoints<br>
<br>
Partner with advertiser success teams to align advertiser needs with platform capabilities<br>
<br>
Architect contextual advertising solutions that complement user journeys<br>
<br>
Optimize revenue streams through continuous experimentation and metric refinement<br>
<br>
Collaborate with UX, engineering, and analytics teams to implement scalable solutions</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of end to end product delivery experience</li><li>5+ years of technical product or program management experience</li><li>Bachelor's degree</li><li>Experience contributing to engineering discussions around technology decisions and strategy related to a product</li><li>Experience with feature delivery and tradeoffs of a product</li><li>Experience owning/driving roadmap strategy and definition</li><li>Experience managing technical products or online services</li><li>Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in using analytical tools, such as Tableau, Qlikview, QuickSight</li><li>Experience in building and driving adoption of new tools</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
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.</p><br>
USA, NY, New York - 166,300.00 - 225,000.00 USD annually<br>
USA, WA, SEATTLE - 151,200.00 - 204,600.00 USD annually</div><p></p>

Sr Product Manager Tech , Sponsored Products

Data Scientist, Products & Applied Research

Centric Brands

<div>About Us:<div></div><div><br>
Centric Brands is a leading lifestyle brand collective that designs, sources, markets and sells high quality products in multiple segments, including women&rsquo;s, men&rsquo;s and kid&rsquo;s apparel, accessories, entertainment and beauty. Centric Brands is focused on our customers and our brands that will drive the company&rsquo;s future growth. We are defined by innovation as we seize new opportunities and thrive in an environment informed by creativity and thinking that is both analytical and outside the box. Centric Brands reflects a team built on respect, for others and for the hard work it takes to achieve our goals and build our bright future together.</div>
Specific Responsibilities Would Include:
<div><b>
Overview:</b></div><div></div><div><br>
Off-White/Avirex is seeking a dynamic Assistant Planner to join its Planning team. This role is ideal for a self-starter who thrives in a fast-paced environment, takes initiative, and works well collaboratively. The Assistant Planner will play a key role in driving data analysis, supporting wholesale and direct-to-consumer (DTC) planning, and contributing to financial reporting as the company continues its transformation.</div><div></div><div><b><br>
 </b><b>Key Responsibilities:
</b></div><ul><li>Maintain and format all Omni-channel monthly reporting data
</li><li>Support management of wholesale topside by account
</li><li>Conduct historical sales analysis to inform seasonal hindsight reviews
</li><li>Assist with monthly close processes for wholesale and DTC channels
</li><li>Identify risks and opportunities impacting sales and gross margin performance
</li><li>Develop and enhance ad hoc Omni-channel analytics and reporting
</li><li>Assist in building Open-to-Buy (OTB) class plans for DTC and wholesale, including Omni roll-ups
</li><li>Analyze size selling performance for DTC and provide actionable recommendations to buyers
</li><li>Translate top-down financial targets into detailed merchandise plans
</li><li>Support in-season forecasting processes
</li><li>Prepare sales orders and gross margin recap reports by division and customer
</li><li>Track monthly deliveries and analyze their impact on sales performance
</li><li>Monitor invoiced sales and forecast alignment
</li><li>Assist with monthly reporting for Centric Brands</li></ul><br>
<div></div>
Our Best Fit Candidate Would Have:
<ul><li>Bachelor&rsquo;s degree required
</li><li>Strong retail math and advanced Excel skills
</li><li>Demonstrated analytical and business acumen
</li><li>Highly detail-oriented with strong organizational skills
</li><li>Ability to manage multiple priorities in a fast-paced environment
</li><li>Strong communication and interpersonal skills
</li><li>Proactive mindset with a strong sense of urgency</li></ul><div>
In return, we provide an industry-competitive salary, along with a comprehensive benefits plan (medical, dental, vision) that includes a matching 401(k), Summer Fridays, generous PTO, merchandise discounts, excellent career development opportunities, and a work environment that reflects our industry leadership. Our social impact program, Centric Cares, focuses on volunteerism to make a difference in communities we live and work in and our D&amp;I committee is shaping the future of diversity, equity and inclusion at Centric Brands though workshops, resources and inspiring conversation.</div><div></div><div><br>
Salary Range: $55,000 - 60,000</div><div></div><div><br>
At Centric Brands, we believe our people are our greatest asset, and we seek to structure competitive compensation offers to ensure that we are able to attract and retain the best talent. Our job postings include an annual base salary range at the time of employment. The stated base salary range represents our good faith estimate as to what candidates are likely to expect, and we tailor our offers within the range based on several factors, including the selected candidate's educational and professional experience, industry knowledge, location, technical and communication skills, and other factors that may prove relevant during the selection process. Base salary is a part of a total compensation package, which, depending on the position, may also include commission earnings, annual bonus and other Centric Brands sponsored benefit programs.</div><div></div><div><b><br>
Be part of our growing community by getting involved with groups, teams and initiatives like Be Green, Be Giving, and Be Celebrated.</b></div><div></div><div><b><br>
Centric Brands is an Equal Opportunity Employer</b></div><div></div><div><br>
Please note that Centric Brands will only reach out to interview, make an offer of employment or conduct onboarding activities for candidates who have applied through our careers site. When interviewing for a position, the candidate experience will include live interaction, such as a video conference or telephone call, with a Recruiter and/or company employee(s). We will never ask for any money or payments from applicants at any point in the recruitment process. Be aware of suspicious recruitment activity. If you think you are a victim of an employment scam, you may contact your local law enforcement agency and/or visit the Federal Trade Commission website here: https://consumer.ftc.gov/articles/job-scams.</div><div></div><p><br>
#LI-Hybrid</p><p>
#LI-KG1</p></div>

Assistant, Planner

Impact.Com

<div><p><b>About impact.com</b><br>
impact.com is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L'Or&eacute;al, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results.</p>
<p><b>
Your Role at </b><b>impact.com</b><b>:</b></p>
<p>
We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale &mdash; sitting at the intersection of data science, platform engineering, and marketplace economics.</p>
<p>
This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization &mdash; making this one of the highest-leverage technical roles in the business.</p>
<p>
You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer &mdash; and to be genuinely excited about both.</p>
<p><b>
What You'll Do:</b></p>
<p><b>
Yield Optimization &amp; Pricing Models</b></p>
<ul>
<li>Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory.</li>
<li>Build and iterate on real-time pricing algorithms that balance short-term revenue efficiency with long-term publisher and advertiser health.</li>
<li>Develop and maintain feedback loops that allow pricing models to adapt to shifting market conditions, inventory mix, and demand patterns.</li>
<li>Quantify the revenue impact of pricing model improvements; communicate tradeoffs between yield maximization, fill rate, and partner ROI to stakeholders.</li>
</ul>
<p><b>Inventory Allocation &amp; Supply Optimization</b></p>
<ul>
<li>Own ML-driven inventory allocation logic: routing, pacing, and matching supply to demand across partner segments, deal types, and campaign objectives.</li>
<li>Build models that forecast inventory availability, demand curves, and clearing prices to support proactive allocation decisions.</li>
<li>Identify and address inefficiencies in inventory utilization &mdash; including unsold inventory, suboptimal deal matching, and allocation imbalances across the publisher base.</li>
</ul>
<p><b>Data Architecture &amp; Feature Engineering</b></p>
<ul>
<li>Design and own the data infrastructure that feeds programmatic models: event pipelines, feature stores, training datasets, and real-time feature serving.</li>
<li>Engineer high-signal features from auction logs, bid stream data, user signals, contextual attributes, and historical performance &mdash; at the scale of programmatic data volumes.</li>
<li>Build robust data pipelines with production-grade standards: reliability, observability, versioning, and efficient reprocessing.</li>
</ul>
<p><b>Real-Time Inference &amp; Production ML</b></p>
<ul>
<li>Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making.</li>
<li>Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers.</li>
<li>Partner with MLOps and Platform Engineering to ensure scalable, low-latency serving infrastructure meets SLOs under high-volume auction traffic.</li>
<li>Own the full model lifecycle: training, evaluation, deployment, A/B testing, and iteration.</li>
</ul>
<p><b>Experimentation &amp; Performance Measurement</b></p>
<ul>
<li>Design and execute rigorous A/B and holdout experiments to measure the causal impact of model changes on yield, fill rate, advertiser performance, and publisher revenue.</li>
<li>Build evaluation frameworks that go beyond offline metrics &mdash; validating model behavior in live auction environments where feedback signals are delayed or noisy.</li>
<li>Translate experimental results into clear business narratives; present findings and recommendations to Product and business stakeholders.</li>
</ul>
<p><b>Self-Learning Systems &amp; Feedback Loops</b></p>
<ul>
<li>Research and implement adaptive, self-learning components within the programmatic stack &mdash; including contextual bandits, reinforcement learning signals, and online learning approaches where appropriate.</li>
<li>Design feedback mechanisms that close the loop between auction outcomes, model updates, and system behavior; reduce reliance on manual tuning and rule-based overrides.</li>
<li>Stay current with advances in programmatic ML, auction theory, and online optimization; evaluate applicability to Impact's specific marketplace dynamics.</li>
</ul>
<p><b>Cross-Functional Collaboration</b></p>
<ul>
<li>Serve as the primary ML technical partner for the Rubicon product and engineering teams; translate business requirements into modeling approaches and communicate technical tradeoffs clearly.</li>
<li>Collaborate with Data Science peers on shared infrastructure, modeling standards, and cross-domain feature reuse.</li>
<li>Document models, architectures, and experimental findings to a standard that enables review, replication, and knowledge transfer across teams.</li>
</ul>
<p><b>What You Bring:</b></p>
<p><b>
Required</b></p>
<ul>
<li><b>Experience:</b> 5+ years in data science, ML engineering, or quantitative research, with at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems).</li>
<li><b>Programmatic &amp; marketplace depth:</b> Demonstrated understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, deal types, bid shading) and how ML can be applied to optimize outcomes across the supply-demand stack.</li>
<li><b>Production ML engineering:</b> Proven ability to take models from prototype to production independently &mdash; including real-time inference, monitoring, retraining pipelines, and SLO ownership.</li>
<li><b>Data architecture:</b> Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems.</li>
<li><b>Technical skills:</b></li>
<li><ul><li>Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka, or equivalent streaming/batch frameworks).</li>
<li>Experience with real-time feature serving and low-latency model deployment (REST APIs, gRPC, or streaming inference).</li>
<li>Familiarity with production ML workflows: model versioning, drift monitoring, A/B testing, evaluation, and retraining.</li>
<li>Experience processing and modeling at programmatic data scale: high-cardinality auction logs, bid stream data, impression and click events.</li>
</ul></li><li><b>Experimentation rigor:</b> Strong grasp of causal inference and experiment design in online, delayed-feedback environments (auction holdouts, switchback tests, variance reduction techniques).</li>
<li><b>Communication:</b> Ability to explain complex modeling decisions and tradeoffs to Product and business stakeholders; comfortable presenting in cross-functional forums.</li>
<li><b>Education:</b> Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, Economics, or similar); Master's/PhD preferred.</li>
</ul>
<p><b>Preferred / Nice to Have</b></p>
<ul>
<li>Direct experience with SSP, DSP, or exchange-side yield optimization &mdash; particularly floor price optimization, bid landscape modeling, or deal matching algorithms.</li>
<li>Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML.</li>
<li>Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems.</li>
<li>Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions.</li>
<li>Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling).</li>
<li>Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training.</li>
<li>Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts.</li>
<li>Familiarity with Impact's affiliate and partnership ecosystem, or prior experience at the intersection of performance marketing and programmatic delivery.</li>
</ul>
<p><b>What Sets You Apart</b></p>
<ul>
<li><b>Marketplace intuition.</b> You understand programmatic auctions not just as an engineer but as an economist &mdash; you think about incentive structures, equilibrium dynamics, and how model decisions ripple through the supply-demand stack.</li>
<li><b>Full-stack ML ownership.</b> You're as comfortable designing a feature store schema as you are tuning a gradient boosting model or debugging a latency spike in production. You own the whole chain.</li>
<li><b>Feedback loop thinking.</b> You don't just deploy models &mdash; you design the systems that make them smarter over time. You think about how today's decisions become tomorrow's training signal.</li>
<li><b>Rigor under real-world constraints.</b> You know how to run clean experiments in environments where feedback is delayed, data is noisy, and business pressures create tradeoffs. You don't let imperfect conditions become an excuse for imprecise thinking.</li>
<li><b>Pragmatic delivery.</b> You ship. You balance the perfect with the production-ready, iterate fast, and know when an MVP outperforms a six-month research project.</li>
<li><b>Collaborative depth.</b> You build genuine technical trust with engineering and product partners &mdash; not just by having good ideas, but by following through, communicating clearly, and making the integration easy.</li>
</ul>
<p><b>Salary Range:</b> $165,000 - $185,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant.</p>
<ul><li>This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.</li></ul>
<p><b>
Benefits and Perks:</b></p>
<p>
At impact.com, we believe that when you're happy and fulfilled, you do your best work. That's why we've built a benefits package that supports your well-being, growth, and work-life balance.</p>
<ul>
<li>Medical, Dental, and Vision insurance</li>
<li>Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled</li>
<li>Flexible spending accounts and 401(k)</li>
<li>Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.</li>
<li>Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.</li>
<li>A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval.</li>
<li>Investing in Your Growth: We're committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.</li>
<li>Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.</li>
<li>Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses.</li>
</ul>
<p>impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.</p><br>
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<p>
#LI_NewYork_NewYork</p></div>

Sr. Data Scientist, Programmatic Algorithms

<div>About Us:
<div>
Centric Brands is a leading lifestyle brand collective that designs, sources, markets and sells high quality products in multiple segments, including women&rsquo;s, men&rsquo;s and kid&rsquo;s apparel, accessories, entertainment and beauty. Centric Brands is focused on our customers and our brands that will drive the company&rsquo;s future growth. We are defined by innovation as we seize new opportunities and thrive in an environment informed by creativity and thinking that is both analytical and outside the box. Centric Brands reflects a team built on respect, for others and for the hard work it takes to achieve our goals and build our bright future together.</div><div></div><div><b><br>
Designer</b></div><div>
What could be more exciting than putting your mark on some of the world&rsquo;s most famous and well-loved fashion brands? As a designer for Centric Brands, you&rsquo;ll use your skills and creativity to create designs based on style plans, sales needs and emerging trends. You will also ensure that your work can be transformed into a finished product in a timely manner and at an appropriate price point. This means working not only with our technical design and production teams, but also building collaborative relationships with outside vendors and other external stakeholders. The challenges are exciting and the possibilities endless &ndash; as you contribute your skills in a vibrant, customer- and people-centric culture that celebrates you as a valuable member of the team.</div>
Specific Responsibilities Would Include:
<div>
The <b>Designer</b> is responsible for creating fashion-forward, commercially viable designs for kids outerwear. This role supports the overall creative direction of the brand by translating trends, inspiration, and brand vision into modern, compelling assortments. The <b>Designer</b> plays a key role in executing seasonal concepts from ideation through final development, ensuring designs meet standards of quality, comfort, and safety.</div><h4 class="jobSectionHeader"><b>
Design &amp; Creative Development</b></h4><ul><li>
Support the development of seasonal design concepts for layette, newborn, and infant boys/girls aligned with brand direction</li><li>
Research and interpret macro and micro trends in color, print, silhouette, and fabrication</li><li>
Assist in creating concept boards, color palettes, print direction, and fabric stories</li><li>
Design original styles, prints, and graphics that reflect brand identity and market trends</li><li>
Ensure consistency of aesthetic across categories while supporting age-appropriate differentiation</li></ul><h4 class="jobSectionHeader"><b>
Assortment Development</b></h4><ul><li>
Partner with Design Director and cross-functional teams to build balanced, trend-right assortments</li><li>
Contribute to the development of silhouettes, prints, and fabrications appropriate for infant categories</li><li>
Help refine style assortments to ensure clarity, cohesion, and commercial viability</li><li>
Elevate core and basic items through thoughtful design details and updated color/application</li></ul><h4 class="jobSectionHeader"><b>
Design Execution &amp; Product Development</b></h4><ul><li>
Execute design development from sketch through production with attention to detail and accuracy</li><li>
Create Illustrator sketches, CADs, and technical packages for development</li><li>
Review lab dips, strike-offs, prints, and samples, ensuring alignment with design intent</li><li>
Collaborate with technical design and production teams on fit, construction, and quality</li><li>
Ensure all designs meet safety, comfort, and regulatory standards for infant apparel</li></ul><h4 class="jobSectionHeader"><b>
Trend &amp; Market Awareness</b></h4><ul><li>
Maintain awareness of fashion, lifestyle, and consumer trends relevant to infant and children&rsquo;s wear</li><li>
Conduct market research and competitive shopping to inform design direction</li><li>
Support preparation of seasonal presentations, concept boards, and design reviews</li></ul><h4 class="jobSectionHeader"><b>
Collaboration &amp; Team Contribution</b></h4><ul><li>
Work closely with merchandising, production, and technical design partners to execute seasonal goals</li><li>
Contribute to a collaborative, creative team environment</li><li>
Provide support and mentorship to junior designers when needed</li><li>
Manage multiple projects with strong organizational and communication skills</li></ul><br>
<div></div>
Our Best Fit Candidate Would Have:
<ul><li>Bachelor&rsquo;s Degree in Fashion Design or related field</li><li>
4&ndash;6 years of apparel design experience, with experience in kids outerwear</li><li>
Strong design sensibility with the ability to translate trends into age-appropriate product</li><li>
Knowledge of infant construction, materials, and safety requirements</li><li>
Proficiency in Adobe Creative Suite, CAD systems, Microsoft Office, and Mac platforms</li><li>
Strong sketching, color sense, and attention to detail</li><li>
Excellent organizational, communication, and collaboration skills</li></ul><div>
In return, we provide an industry-competitive salary, along with a comprehensive benefits plan (medical, dental, vision) that includes a matching 401(k), Summer Fridays, generous PTO, merchandise discounts, excellent career development opportunities, and a work environment that reflects our industry leadership. Our social impact program, Centric Cares, focuses on volunteerism to make a difference in communities we live and work in and our D&amp;I committee is shaping the future of diversity, equity and inclusion at Centric Brands though workshops, resources and inspiring conversation.</div><div></div><div><br>
Salary Range: $75,000 - $80,000</div><div></div><div><br>
At Centric Brands, we believe our people are our greatest asset, and we seek to structure competitive compensation offers to ensure that we are able to attract and retain the best talent. Our job postings include an annual base salary range at the time of employment. The stated base salary range represents our good faith estimate as to what candidates are likely to expect, and we tailor our offers within the range based on several factors, including the selected candidate's educational and professional experience, industry knowledge, location, technical and communication skills, and other factors that may prove relevant during the selection process. Base salary is a part of a total compensation package, which, depending on the position, may also include commission earnings, annual bonus and other Centric Brands sponsored benefit programs.</div><div></div><div><b><br>
Be part of our growing community by getting involved with groups, teams and initiatives like Be Green, Be Giving, and Be Celebrated.</b></div><div></div><div><b><br>
Centric Brands is an Equal Opportunity Employer</b></div><div></div><div><br>
Please note that Centric Brands will only reach out to interview, make an offer of employment or conduct onboarding activities for candidates who have applied through our careers site. When interviewing for a position, the candidate experience will include live interaction, such as a video conference or telephone call, with a Recruiter and/or company employee(s). We will never ask for any money or payments from applicants at any point in the recruitment process. Be aware of suspicious recruitment activity. If you think you are a victim of an employment scam, you may contact your local law enforcement agency and/or visit the Federal Trade Commission website here: https://consumer.ftc.gov/articles/job-scams.</div><div></div><div><br>
#LI-Hybrid</div><div>
#LI-MC1</div></div>

Designer

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