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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 Scientist II in the Client Experience domain, focusing on helping clients connect with the right providers. You will leverage your expertise in analytics, experimentation, and AI/ML to address complex challenges including conversion funnel optimization, search ranking, and client-provider matching. As the lead data scientist in this domain, you will own the execution of key strategic initiatives and mentor other data scientists on the team. This is a highly cross‑functional position, requiring close collaboration with Product, Engineering, and Marketing stakeholders to define the strategy and roadmap for the Client Experience domain.
What you’ll do:
Define Data Science strategy and priorities in the Client Experience domain
Generate product insights through statistical and causal analysis
Design, execute, and analyze A/B testing experiments to validate product hypotheses
Develop AI/ML applications to enhance client 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
Who you are:
You have 4-8 years of experience as a data scientist or product analyst supporting product development.
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 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, and can produce executive‑ready documents 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:
Health insurance plans through Aetna (medical and dental) and MetLife (vision), including FSA and HSA plans
Lifestyle Spending Account for health, wellness, and family care
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 PerkSpot
EAP access through Aetna
One‑time home office stipend to set up your home office
Inclusive family and medical leave plans
12 paid holidays and 1 Alma Give Back Day
Flexible PTO
Salary Band: $190,000 - $210,000
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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Diversity, Equity and Inclusion at Alma At Alma, we work hard to bring together people from a vast set of backgrounds and identities. We aspire to champion diversity, amplify inclusive cultures and build equitably.
Submitting the below information is optional and your answers will not be attached to your applicant profile . All answers are compiled into an anonymous dataset and will only be seen from a macro point of view to help us inform our Diversity, Equity & Inclusion (DEI) strategy and efforts. This information will not be used as selection criteria nor will it be used as any basis in connection with any decisions regarding your candidacy. We take our DEI efforts seriously, and we would greatly appreciate your participation. Of course, you are welcome to opt out of submitting this information and there will be no consequences for your decision not to share this information.
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