The Data Science team is integral to Alma's mission, utilizing data to inform business strategy and drive product innovations. We are seeking a Senior Data Science Manager in the Care Finding domain, focusing on helping clients connect with the right providers. In this high-impact role, you will lead the execution of key strategic initiatives to enhance customer acquisition, optimize marketing efficiency, and improve client conversion. You will leverage your expertise in analytics, machine learning, and GenAI to address complex challenges, including client-provider matching, Lifetime Value (LTV) prediction, and conversion funnel optimization. You will lead a small team of data scientists, providing mentorship and strategic guidance while also contributing through hands-on technical work. This is a highly cross-functional position, requiring close collaboration with Product, Engineering, and Marketing stakeholders to define the strategy and roadmap for the Care Finding domain.

What you’ll do:

Define Data Science strategy and priorities in the Care Finding domain
Generate product insights through statistical and causal analysis
Design, execute, and analyze A/B testing experiments to validate product hypotheses
Develop ML and GenAI applications to enhance Alam’s Care Finding experience
Proactively identify opportunities to improve client conversion and marketing efficiency
Define metrics and OKRs that align team output to company goals
Advise senior leadership on key strategic decisions
Communicate technical insights effectively to influence decision making
Champion a data-driven decision culture
Mentor junior data scientists

Who you are:

You have a Master’s degree in a relevant quantitative field (e.g. data science, statistics, economics, operations research) or equivalent in industry experience
You have 4-8 years of experience as a data scientist or product analyst supporting product development
You have 1-2 years of experience as a manager, tech lead, or similar leadership role
You are an expert in SQL
You are proficient in either Python or R for data analysis
You have extensive experience applying statistical analysis (e.g. hypothesis testing and regression analysis) to draw trustworthy conclusions from data
You are experienced in designing and analyzing A/B testing experiments
You have developed and deployed AI/ML applications that led to measurable business impact
You have a proven track record of driving cross-functional initiatives from end to end and delivering significant impact
You can turn ambiguous business problems into clearly defined data science solutions
You thrive in a cross functional environment and are comfortable managing a diverse group of stakeholders
You are an effective communicator. You drive consensus and influence others to take action by communicating your analytical insights convincingly. You can produce exec-ready docs and presentations.
You are results-driven and passionate about building great products, with a proven track record of taking projects from inception to launch

Benefits:

We’re a remote-first company
Health insurance plans through Aetna (medical and dental) and MetLife (vision), including FSA and HSA plans
401K plan (ADP)
Monthly therapy and wellness stipends
Monthly co-working space membership stipend
Monthly work-from-home stipend
Financial wellness benefits through Northstar
Pet discount program through United Pet Care
Financial perks and rewards through BenefitHub
EAP access through Aetna
One-time home office stipend to set up your home office
Comprehensive parental leave plans
12 paid holidays and 1 Alma Give Back Day
Flexible PTO

Salary Band: $185,000 - $200,000

All Alma jobs are listed on our careers page. We do not use outside applications or automated text messaging in our recruiting process. We will not ask for any sensitive financial or identification information throughout the recruiting process. Any communication during the recruitment process, including interview requests or job offers, will come directly from a recruiting team member with a helloalma.com email address.

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