Expert Data Scientist

Role Title: Expert Data Scientist

The Company:

At our culture is our soul. We are passionate about our people, our technology, and are obsessed with customer success. Our collective work helps us to grow rapidly, win, and serve the world's largest brands. Using our cutting edge technology, we solve real-world problems for our clients and continue to surge ahead as the leading SaaS platform for businesses to automate their partnerships thereby increasing their revenue like never before. Our entrepreneurial ethos and culture, where ambition and curiosity are celebrated, is what sets us apart. If you're interested in joining a team where your contributions are valued and you get to work with innovative and talented people from across the globe, then this is the place for you!

, the world’s premier partnership management platform, is revolutionizing the way businesses manage and optimize partnerships of all types—encompassing traditional rewards affiliates, influencers, commerce content publishers, B2B, and more. Our robust, purpose-built platform aids enterprises in creating, managing, and scaling an ecosystem of partnerships with brands and communities that customers trust for purchases, information, and entertainment, no matter where they are. To understand how ’s technological platform and partnerships marketplace is fuelling revenue growth for enterprise brands like Walmart, Uber, Shopify, Lenovo, L'Oréal, Fanatics and Levi’s, visit .

Why this role is exciting:

At impact.com, we have an unparalleled opportunity to use machine learning and AI to fuel product innovation.

You will be contributing to our core and business products to carve the future of what we build at Impact. You'll love working with our abundant data, advanced technology, and the opportunity to see your insights turned into tangible products routinely. You'll partner with internal and external stakeholders, develop new products/features, and solve business issues through data preparation, understanding and analysis.

As a leader in Data Science, you can view various angles of a product or business opportunity, and you're adept at connecting the dots and interacting with people in diverse roles and functions. You have significant experience with analytical tools and techniques, and possess a solid skill-set in data analysis and communication of recommendations.

Leveraging your leadership prowess and professional expertise, you manage a team of data scientists and analysts, plan project objectives, and spearhead the overall strategy for your group. You're a recognized authority in your field, and you develop, organize, and launch projects that span across engineering and analysis.

What you will be doing:

• Lead project teams focusing on ML product development and product analytics. Interact cross-functionally with a wide variety of stakeholders and teams, and coordinate closely with Engineers and Product Managers to recognize opportunities for design and to assess product enhancements.
• Supervise machine learning product development projects with hands-on involvement. Build, review, deploy, scale, and enhance operational machine learning models and algorithms.
• Collaborate with stakeholders, understand business questions, and formulate quantitative analyses that inform data-driven decisions. Create data-driven products in partnership with engineering and product management teams and design impactful experiments.
• Influence functional teams and establish best practices across the organization.
• Communicate and visually present insights higher up the chain, informing decision-making processes. Create interactive visualizations to facilitate analytics and promote ML products to non-technical audiences.
• Contribute to the Data Science Center of Excellence knowledge base and documentation. Provide mentorship to junior team members.
• Participate in recruitment and the interview process to expand the team. Onboard and mentor junior team members, aiding them in developing the necessary skills and knowledge.

Does this sound like you?

• A Master’s Degree in Statistics, Machine Learning, Applied Mathematics/Data Science, Physics, Operations Research, Economics or other quantitative fields of Social Science. PhD preferred.
• 7-10 years of tech industry work experience as a data scientist, statistician, or machine learning engineer. Profound knowledge of statistical modeling, machine learning, and experimentation methods.
• Competent in Python, SQL, Spark, and big data query language.
• Profound knowledge and practical experience in recommendation systems, machine learning, NLP, statistics, and deep learning
• Proficient with ML model deployment at scale. Experience with automating feedback loops for production algorithms/models and creating repeatable processes and scalable data products
• Able to evaluate improvements in business efficiency or customer experience based on research outcomes
• Experienced in developing partnerships and influencing cross-functional leaders
• Ability to navigate complex business environments and manage multiple cross-functional stakeholders. Preferably, experience in leading large projects.
• Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.

Salary Range: $160,000 - $180,000 per year, you will also be eligible to receive Restricted Stock Unit (RSU) grant and additional variable annual bonus based on the Company's performance. *This is the pay range that the Company believes is fair for this position at the time of this posting.