Karkidi
Sr. Data Scientist, Marketing Analytics - LTV
Karkidi, San Francisco, California, United States, 94199
As the Data Scientist, you will be a partner to the Marketing and Finance teams by providing data-driven insights through ad-hoc analyses, presentations, automated reports and dashboards, experiment design, and advanced statistics research and development. This role will require extensive experience with SQL, data wrangling, statistics, and A/B testing and the ability to work in cross-functional teams to drive practical insights. Experience with user growth and acquisition across consumer products is a plus.
Where you’ll work: This is a hybrid role and requires in-office collaboration three days per week. This position is located in Los Angeles, San Francisco, or Palo Alto, CA.
In this role, you will:
Work on specialized ‘advanced analytics’ projects that include but not be limited to: LTV metric exploration, development, and deployment, specifically in a two-sided marketplace Incremental analysis improvements and adaptability Marketing Mix Modeling / Investment Optimization analyses and tools Sophisticated forecasting and the development of self-service forecasting tools Adapt to evolving business dynamics and swiftly adjust task priorities to ensure efficient workflow alignment with changing operational requirements Be a leader with a point of view for the organization and the team, using data to constantly challenge and reshape our understanding of business performance and trend Build models to understand the lifetime value better and churn behavior of our users Find the “story” in the data and communicate insights and opportunities with executive and other internal teams Be an advisor for other Data Scientists on the Analytics team Perform ongoing ad-hoc analyses to evaluate the efficiency of our marketing spend, building reporting infrastructure, and assisting in making budgeting recommendations to optimize growth Support reporting and business intelligence needs of the Marketing team Provide regular and clear updates on project progress to manager and collaborators Deliver reporting for key stakeholders on trends, notable updates, and stories Establish good rapport and collaborate with leadership, stakeholders, and colleagues to ensure that product deliverables satisfy business requirements You’ll need:
5+ years of professional experience with time series analysis, causal inference, forecasting and prediction modeling, and marketing mix modeling 2+ years of LTV modeling experience ML experience is a ‘plus’ Previous experience building LTV predictive and econometric models LTV modeling experience can include: retention, ratio, or behavioral driven Ability to develop a nuanced business understanding, testable hypotheses, and meaningful findings from data 3 years of professional experience with SQL and data visualization tools (e.g., Tableau or Mode) to build tools that surface useful insights, opportunities, and trends for leaders to action on and exploit 3 years of experience in data scripting in Python or R 3 years of experience with A/B testing and sophisticated statistical techniques As a full-time employee, you’ll enjoy:
Unlimited PTO (with no waiting period), 10 annual Wellness Days Time off to volunteer and charitable donations matched up to $15,000 annually Comprehensive health, vision, and dental coverage 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP) 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional development Investment in your wellness: access to mental health support via Modern Health, BetterHelp, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy Salary Range: $146,500 - $191,500 a year Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.
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Work on specialized ‘advanced analytics’ projects that include but not be limited to: LTV metric exploration, development, and deployment, specifically in a two-sided marketplace Incremental analysis improvements and adaptability Marketing Mix Modeling / Investment Optimization analyses and tools Sophisticated forecasting and the development of self-service forecasting tools Adapt to evolving business dynamics and swiftly adjust task priorities to ensure efficient workflow alignment with changing operational requirements Be a leader with a point of view for the organization and the team, using data to constantly challenge and reshape our understanding of business performance and trend Build models to understand the lifetime value better and churn behavior of our users Find the “story” in the data and communicate insights and opportunities with executive and other internal teams Be an advisor for other Data Scientists on the Analytics team Perform ongoing ad-hoc analyses to evaluate the efficiency of our marketing spend, building reporting infrastructure, and assisting in making budgeting recommendations to optimize growth Support reporting and business intelligence needs of the Marketing team Provide regular and clear updates on project progress to manager and collaborators Deliver reporting for key stakeholders on trends, notable updates, and stories Establish good rapport and collaborate with leadership, stakeholders, and colleagues to ensure that product deliverables satisfy business requirements You’ll need:
5+ years of professional experience with time series analysis, causal inference, forecasting and prediction modeling, and marketing mix modeling 2+ years of LTV modeling experience ML experience is a ‘plus’ Previous experience building LTV predictive and econometric models LTV modeling experience can include: retention, ratio, or behavioral driven Ability to develop a nuanced business understanding, testable hypotheses, and meaningful findings from data 3 years of professional experience with SQL and data visualization tools (e.g., Tableau or Mode) to build tools that surface useful insights, opportunities, and trends for leaders to action on and exploit 3 years of experience in data scripting in Python or R 3 years of experience with A/B testing and sophisticated statistical techniques As a full-time employee, you’ll enjoy:
Unlimited PTO (with no waiting period), 10 annual Wellness Days Time off to volunteer and charitable donations matched up to $15,000 annually Comprehensive health, vision, and dental coverage 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP) 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional development Investment in your wellness: access to mental health support via Modern Health, BetterHelp, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy Salary Range: $146,500 - $191,500 a year Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.
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