Expert Data Scientist, Impact
$160-180k
Plus Restricted Stock Unit (RSU) grant and additional variable annual bonus contingent on Company performance
1-5 days a week in office
Partnership management platform
Job no longer available
Partnership management platform
1001+ employees
Job no longer available
$160-180k
Plus Restricted Stock Unit (RSU) grant and additional variable annual bonus contingent on Company performance
1-5 days a week in office
1001+ employees
Company mission
To accelerate enterprise growth by scaling discovery, recruitment, onboarding, engagement and optimization of all types of partnerships.
Role
Who you are
- Master’s Degree in Statistics, Machine Learning, Applied Mathematics/Data Science, Physics, Operations Research, Economics or other quantitative Social Science fields. PhD preferred
- 7-10 years’ of tech industry work experience as a data scientist, statistician, or machine learning engineer. Expert knowledge of advanced statistical modeling, machine learning, and experimentation or causal inference methods
- Well versed in Python, SQL, Spark and big data query language
- Extensive knowledge, application, and experience in creating and implementing recommendation systems, machine learning, NLP, statistics, and deep learning
- Proficient with ML model deployment at scale. Experience with automating feedback loops for algorithms/models in production and creating repeatable processes and scalable data products
- Ability to quantify improvements from business efficiency or customer experience based on research outcomes
- Experience forming partnerships and influencing cross-functional leaders in engineering, product, design, or research
- Ability to navigate complex business organizations and manage multiple cross-functional stakeholders. Experience in leading large projects is preferred
- Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques
What the job involves
- Lead project teams focusing on ML product development and product analytics. Interact cross-functionally with a wide variety of leaders and teams, and work closely with Engineers and Product Managers to identify opportunities for design and to assess improvements for products
- Oversee machine learning product development projects with hands-on involvement. Build, review, deploy, scale, and enhance operationalized machine learning models and algorithms, including but not limited to Recommender System, NLP, graph neural networks, and time series modeling
- Collaborate with stakeholders, understand business questions, and formulate quantitative analysis that informs data driven decisions. Build data products (data sets, analysis, models etc.) and tools to drive hypothesis generation and decision making in partnership with engineering and product management teams. Create actionable metrics and design effective experiments
- Influence functional teams and develop best practices across the organization
- Communicate and visualize insights to multiple levels of stakeholders with clarity, informing decision-making. Design and create interactive visualization dashboard to facilitate custom analytics, trouble-shooting, data storytelling, and evangelization of ML products to non-technical audiences
- Contribute to Data Science COE knowledge sharing and documentation. Provide mentorship to junior team members
- Participate in recruitment and the interview process to grow the team. Onboard and mentor junior team members to help them develop required skills and knowledge to be successful on the team
Our take
Affiliate marketing has evolved from a niche concept to a core component of modern marketing strategies, largely thanks to the rise of the influencer class and the infrastructure established by companies like Impact. This shift highlights the increasing importance of affiliate marketing in reaching and engaging consumers.
Initially, Impact built its business around a pure marketplace offering. however, it has since expanded its technology to provide brands with big data insights, allowing them to track how and where their content is utilized and engaged with. This evolution enhances the value that Impact delivers to its clients, making it easier for them to measure the effectiveness of their marketing efforts.
To further expand its customer base, Impact has formed integrations with prominent companies like BigComemrce, Google Payu, HubSpot, and Shopify. These partnerships not only accommodate a diverse range of businesses but also create more partnership opportunities for clients. Despite facing constant competition from emerging startups, Impact remains proactive, having secured partnerships with well-known brands and received high-profile industry accolades such as the US Partnership Awards.
Steph
Company Specialist at Welcome to the Jungle
Insights
9% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Apr 2022
$100m
GROWTH EQUITY VC
Jul 2021
$150m
GROWTH EQUITY VC
Total funding: $331.4m
Company benefits
- Level up: To help you grow, we offer a wide variety of professional development courses and training
- Work-life balance: Rest keeps the passion burning. Our flexible, unlimited time-off policy allows you to take the time that you need, when you need it
- WFH opportunities: To help you find balance in your life, we have a flexible working policy which enables you to work from home
Company HQ
Santa Barbara Downtown, Santa Barbara, CA
Leadership
Per Pettersen
(Co-Founder & CSO)They have served as the CEO of Estalea since 2004. Previously founded Leadpoint, Savings.com, and Commission Junction.
Roger Kjensrud
(Co-Founder & CTO)They have served as the CTO of Estalea since 2004. Previously the Director of Engineering at Commission Junction for 4 years.
Todd Crawford
(Co-founder & VP of Strategic Initiatives)Previously Vice President of Sales at Commission Junction for 7 years and VP of Sales & Business Development at Digital River for 2 years.
Wade Crang
(Co-founder & Growth Technologist)They have served as the General Manager at Estalea since 2005. Previously a VP at Commission Junction for 6 years and a Senior Manager at Andersen Consulting for 2 years.
Lisa Riolo
(Co-Founder)Founder of Lisa Riolo Consulting and Workzones. Previously Strategic Advisor at Proven Performance Group for 3 years and AVP, Customer Sales & Service Manager.
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