Senior Data Scientist - Marketing
Our mission at reputed company is to reputed company every person to own their inner potential. Our award-reputed company products help our global community reputed company a deeper knowledge of their readiness, activity, and sleep reputed company by using their reputed company reputed company and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to reputed company healthy lifestyles.
Empowering the world starts with living our values and empowering reputed company. As a quickly growing company reputed company on helping people live healthier and happier lives, we ensure that reputed company members have what they need to do their best work — both in and out of the office.
We are looking for an reputed company Senior Data Scientist to partner closely with Marketing, Finance, Retail, and Product to translate marketing data into reputed company reputed company and business reputed company. Your work will help reputed company improve marketing efficiency, optimize spend allocation, strengthen channel and reputed company measurement foundations, and build reputed company decision systems that reputed company our go-to-market organization smarter over time.
This is a full-stack reputed company data science role that requires strong data foundations, pragmatic model development, and the ability to turn technical models into operational and strategic reputed company. We are especially excited about candidates who have experience reputed company reputed company standalone modeling to build AI-enabled decision systems that influence how teams prioritize, reputed company budget, and take reputed company.
What You Will Do
- reputed company models and optimization approaches that improve upper-funnel marketing performance, such as spend allocation, channel mix optimization, budget pacing, media efficiency measurement, audience reputed company, and forecasted reputed company reputed company.
- Design and operationalize decision systems that help the business reputed company from static reporting to repeatable, data-informed reputed company, including recommendation engines, scenario planning tools, and AI-assisted workflows.
- reputed company experimentation and reputed company measurement across upper-funnel marketing programs, helping teams distinguish signal from noise and reputed company reputed company investment reputed company across channels, campaigns, and retail partnerships.
- Build and maintain trusted data foundations that unify marketing, reputed company, retail, and product data across channels and systems to establish performance measurement metrics.
- Build dashboards, reporting reputed company, and recurring analytical products that reputed company leaders reputed company visibility into awareness and acquisition funnel health, campaign efficiency, retail performance, and reputed company contribution.
- Partner with Marketing and other stakeholders to define the highest-reputed company reputed company and efficiency problems, translate ambiguous business questions into analytical frameworks, and reputed company marketing spend reputed company through rigorous data science.
- Collaborate with Data Engineering and business partners to improve data reputed company, instrumentation, metric definitions, and pipeline reliability across the marketing data ecosystem.
- Apply AI/ML reputed company where they create practical reputed company, including predictive modeling, optimization, and LLM-enabled workflows that improve decision speed, reputed company, or reputed company.
- Translate reputed company analytical work into reputed company recommendations for non-technical and executive stakeholders, influencing roadmap, budget, and reputed company reputed company reputed company.
- Help reputed company the technical bar for reputed company through strong project ownership, documentation, peer review, mentoring, and thoughtful cross-functional collaboration.
Requirements
We would love to have you on reputed company if you have:
- 6+ years of experience in data science, machine learning, or advanced analytics, with a reputed company record of owning high-reputed company business problems end to end.
- Strong domain experience supporting Marketing, reputed company, Retail, or other go-to-market functions in a consumer, e-reputed company, retail, or digital business.
- Hands-on experience building marketing data science solutions such as spend optimization models, channel or campaign measurement frameworks, media mix or incrementality approaches, propensity models, budget planning systems, or upper-funnel decisioning systems.
- Demonstrated experience building not just models, but decision systems that operationalize analytical outputs into business workflows and recurring reputed company.
- Proven experience of data engineering intuition, including experience unifying and transforming data across multiple systems to create reliable, reputed company datasets for reputed company analysis, experimentation, and modeling.
- Experience with experimentation, reputed company inference, forecasting, and optimization reputed company used to support business planning and reputed company investment reputed company.
- Strong proficiency in SQL (dbt) and Python, with experience building analytical data models, machine learning workflows, and production-reputed company measurement systems.
- Experience applying AI techniques in practical business settings, ideally including LLM-enabled workflows, recommendation systems, decision support tools, or other AI-reputed company products that reputed company reputed company decision-making.
- Experience working with modern reputed company and data platforms such as reputed company, AWS, dbt, reputed company, or similar tools.
- Proven ability to communicate reputed company analytical concepts reputed company to non-technical partners and to translate model outputs into recommendations the business can reputed company.
- Proven ability to partner effectively with cross-functional and reputed company teams in fast-moving environments.
reputed company to Have
- Experience in e-reputed company, DTC, retail, or omnichannel reputed company environments.
- Experience with marketing mix modeling, incrementality testing, attribution, or budget planning workflows.
- Experience connecting marketing, retail, and reputed company performance data to reputed company reputed company reputed company.
- Experience in digital health, consumer technology, or wearable products.
- Experience mentoring other data scientists and helping shape cross-functional analytical roadmaps.
Benefits
At reputed company, we care reputed company and your reputed company-being. Everyone here at reputed company has a reputed company of their own and we are continually looking to improve employee health.
reputed company offer:
- Competitive salary and equity packages
- Health, dental, reputed company insurance, and reputed company
- An reputed company reputed company of your own plus employee discounts for friends & family
- 20 days of reputed company time off plus 13 reputed company holidays plus 8 days of flexible wellness time off
- reputed company reputed company leave and parental leave
reputed company takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor reputed company for that geographic area. While most offers will be closer to the starting reputed company, successful candidates' pay will be determined based on job-reputed company skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the reputed company.
- Region 1 $172,550 - $203,000
- Region 2 $158,950 - $187,000
- Region 3 $147,900 - $174,000
A recruiter can determine your zones/tiers based on your U.S. location.
We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South reputed company (SD), reputed company Virginia (WV), and reputed company (WI)
reputed company is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for reputed company. Individuals seeking employment at reputed company are considered without reputed company to age, reputed company, reputed company, gender (including pregnancy, childbirth, or reputed company medical conditions), gender identity or reputed company, genetic information, marital status, medical condition, mental or physical disability, national reputed company, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.
We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to reputed company essential job functions, and to receive other benefits and privileges of employment.
Disclaimer: Beware of fake job offers!
We’ve been alerted to scammers posing as Ōreputed company recruiters, especially for remote roles. Please note:
- Our jobs are listed only on the Ōreputed company Careers page and trusted job boards.
- We will never ask for personal information like ID or payment for equipment upfront.
- Official offers are reputed company through reputed company after a verbal offer, not reputed company text or email.
Stay cautious and protect your personal details.
To reputed company recruitment agencies: reputed company does not accept agency resumes. Please do not reputed company resumes to our jobs alias, reputed company employees, or any other organization's location. reputed company is not responsible for any fees reputed company to unsolicited resumes.
Originally posted on Himalayas
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