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Expert Data Scientist


New York, US / Santa Barbara, CA, US / Seattle, WA, US / Remote
  • Job Type: Full-Time
  • Function: Data Science
  • Industry: Cloud Business Apps
  • Post Date: 03/15/2023
  • Website:
  • Company Address: 223 E. De La Guerra St, Santa Barbara, CA, 93101
  • Salary Range: $165,000 - $195,000

About Impact, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships—including traditional rewards affiliates, influencers, commerce content publishers, B2B, and more. The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go.

Job Description

If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world then this is the place for you.

If you have a desire to work in an organization that is:

  • Passionate about its people
  • Focused on delivering the very best tech to our customers
  • Offering the flexibility to work how and where you are most successful
  • Obsessed with our customer’s success
  • The leading SaaS platform to automate partnerships - affiliate, influencer, technology partners, and more!
  • Entrepreneurial in spirit with a culture that rewards collaboration and curiosity
  • Obsessed with making a difference in business and to the wider community  

Impact is the global leader in Partnership Automation, working with innovative brands like Ticketmaster, Levi’s, Microsoft, Airbnb, and Uber to help them manage their online affiliate, influencer, brand to brand, and content partnerships. The Impact Partnership Cloud covers the full life partnership lifecycle including onboarding, tracking ads and paying partners, recruiting for new partners, data and marketing intelligence, and protection from fraud. Founded in 2008, Impact has grown to over 500 employees and ten offices across Europe, the United States, Africa, and Asia so there is plenty of opportunity for growth and advancement.

Your Role at Impact:

At Impact we have an amazing opportunity to leverage machine learning and AI to drive product innovation. 

You will work on our core and business products to help shape the future of what we build at Impact.  You will enjoy working with our rich data set, cutting edge technology, and the ability to see your insights turned into real products on a regular basis.  Partnering with internal and external stakeholders, you will develop new products/features and solve business problems by preparing, analyzing, and understanding data to prototype products/features, deliver insight, predict emerging trends, and provide recommendations to optimize results.

Leaders in Data Science can see different angles of a product or business opportunity, and you know how to connect the dots and interact with people in various roles and functions. You have substantial experience with analytical tools and techniques, and bring a solid skill-set in analyzing data and communicating recommendations. You will deepen your skill-set by working with analytical thought leaders across the company.

With your leadership and professional expertise, you manage a team of data scientists and analysts, plan project goals and lead the overall strategy for your group. You are a recognized authority in your functional area and develop, organize and launch projects that span engineering and analysis.

What You'll Do:

  • 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 Google products.
  • Oversee team projects with hands-on analysis and modeling, drawing from multiple analytical methods to choose the right tool and right level of complexity appropriate for the business challenges.
  • 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. 
  • Partner with Product, Engineering and Business leadership teams to identify trends and opportunities, and to develop strategic problem solving road maps.  Prioritize work to optimize the impact of the data science team. 
  • Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of Impact data structures and metrics, advocating for changes for product development and customer engagement activity.
  • 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.
  • Engage broadly with internal and external stakeholders to identify, prioritize, frame, and structure complex and ambiguous challenges, where advanced analytics projects or tools can have the biggest impact.
  • 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 Impact products.  Influence product teams through presentation of data-based recommendations.
  • Contribute to Data Science COE knowledge sharing and documentation.  Provide mentorship to junior team members. 
  • Manage the development of data resources, requirements gathering, source organization, and the execution and delivery of product / program launches
  • Support organizational efforts to screen and recruit members to the data science team
  • Onboard and mentor junior team members to help them develop required skills and knowledge to be successful on the team
  • Develop and communicate clear requirements and goals for team members
  • Provide timely and actionable feedback on performance to team members

What You Have:

  • Master’s Degree in Computer Science, Applied Mathematics, Physics, Operations Research, Statistics or other quantitative Social Science fields.  PhD preferred. 
  • 7-10 years’ of tech industry work experience as a data analyst, statistician, or data scientist.  Expert knowledge of statistical data analysis, such as linear models, multivariate analysis, stochastic models, sampling methods, and experimental design. 
  • Well versed in R, Python, and SQL, and big data query language.
  • Proficient with machine learning, AI, data mining and knowledge of advanced statistical modeling.  Experience with big data and cloud platforms to deploy large-scale data science solutions.  Knowledge of distributed computing framework. 
  • Predictive modeling, machine learning, and experimentation or causal inference methods
  • Product Data Science or Growth Analytics, including in depth experience with experimentation
  • Excellent communicator able to articulate business questions and using mathematical techniques to arrive at an answer using available data.
  • Forming partnerships and influencing cross-functional leaders in engineering, product, design, or research
  • Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product.
  • Understanding of digital marketing and statistical algorithms typically used in marketing analytics.  Experience in advertising technology and affiliate marketing preferred. 
  • Ability to navigate complex business organizations and manage multiple cross-functional stakeholders.  Experience in leading large projects preferred.
  • Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.
  • Salary Range: $165,000 - $195,000 per year, plus eligible to receive Restricted Stock Unit (RSU) grant and additional variable annual bonus contingent on Company performance up to 5%.
    *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.


  • Medical, Dental and Vision insurance
  • Unlimited Responsible PTO
  • Flexible work hours
  • Weekly catered lunches, a healthy snack bar, and phenomenal coffee to keep you fueled
  • Flexible spending accounts and 401(k)
  • An employee-led culture team that plans our happy hours, parties and other events to celebrate our many successes.
  • An established company with a cool, high velocity work ethos, where each person can make a difference!


We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.