Published:Tue, 08 Oct 2024 16:51:09 GMTApply:https://remotive.com/remote-jobs/software-dev/lead-data-scientist-1940853
Position: Lead Data Scientist at Apollo
About Apollo:
Apollo is a leading technology company that powers some of the largest GraphQL platforms in the world. Our goal is to revolutionize how software is built and empower every software team to create an exceptional user experience across multiple clients without the complexity of managing numerous API endpoints.
About the Team:
We are seeking a highly skilled Lead Data Scientist to join our best-in-class Data practice. In this role, you will collaborate with our Product, Finance, Growth, and Go-to-Market teams to drive strategic business decisions.
Responsibilities:
– Utilize deep expertise in data analysis, modeling, visualization, and prediction to optimize business outcomes
– Provide technical leadership and problem-solving skills to drive trade-offs and solve complex problems
– Effectively manage projects, requirements, and ensure ethical data practices
– Collaborate with executive and cross-functional teams to identify opportunities and implement data-driven models
– Present findings and communicate complex insights to non-technical audiences
Minimum Requirements:
– 10+ years of experience in data science and quantitative modeling
– Proficiency in SQL and a computing language such as Python or R
– Strong knowledge and hands-on experience in machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
– Demonstrated experience in leading organization-wide initiatives and collaborating with multiple teams and stakeholders
– Excellent communication skills with the ability to drive impact and influence business outcomes
– A builder’s mindset with a willingness to challenge assumptions and conventional wisdom
– Willingness to participate in on-call rotation
Preferred Qualifications:
– Experience in designing and analyzing complex experiments or leveraging causal inference designs
– Experience in Growth, specifically in attribution, channel performance optimization, CAC optimization, and experimentation
– Familiarity with distributed tools such as Spark and Hadoop
– PhD or MS in a quantitative field (Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, or Operations Research)
– Experience in developing and deploying metric frameworks
Location:
This is a remote position that can be done from anywhere in the US or Canada with occasional travel required.
Equal Opportunity:
At Apollo, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer and value diversity at our company.
Privacy:
California residents applying for positions at Apollo can view our privacy policy here.
E-Verify:
Apollo is an E-Verify employer and will provide the federal government with Form I-9 information to confirm authorization to work in the US. For more information, please visit E-Verify.
Compensation:
At Apollo, we offer competitive and market-informed compensation packages, including equity and benefits. Our hiring decisions are based on skills, experience, and our overall assessment of the candidate’s fit for the role. In addition to a base salary range, we also offer medical, dental, and vision benefits through Anthem Blue Cross and Kaiser for California residents. Sun Life Financial provides dental and vision benefits for all US employees. Apply link
