The Company: 

At impact.com our culture is our soul. We are passionate about our people, our technology, and our obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading SaaS platform for businesses to automate their partnerships and grow their revenue like never before. We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. 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!

impact.com, 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. To learn more about how impact.com’s technology platform and partnerships marketplace is driving revenue growth for global enterprise brands such as Walmart, Uber, Shopify, Lenovo, L'Oréal, Fanatics and Levi’s, visit www.impact.com.

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.
• Free Affiliate & Partnerships Industry Fundamentals Certification by PXA

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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.

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