Description JOB SUMMARY: The Utah Jazz are looking for a Data Scientist to perform modeling and analysis that will help inform basketball decision-making. We are located in Salt Lake City, but are open to remote candidates (must be legally authorized to work in the United States). DUTIES & RESPONSIBILITIES: - Develop and maintain models to better predict basketball outcomes and facilitate better decision-making across Basketball Operations. - Perform ad hoc data analysis as necessary to help basketball decision-makers. - Interface with all departments within Basketball Operations (scouting, coaching, analytics, sports science) and strive to understand and meet their needs. - Identify, research, and implement opportunities for new models, data sources, and basketball analytics techniques. - Help maintain and test datasets used to perform analysis. - Maintain best practices for software development including test writing, documentation, and adherence to and improvement of coding standards. - Protect the reputation of the company. - Exemplify the Utah Jazz mission and values: transparent, all in, community obsessed, one team, and scrappy. - Accept other duties, as assigned. COMPETENCIES: - Communicates Effectively – Develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences. - Demonstrates Self-awareness – Uses a combination of feedback and reflection to gain productive insight into personal strengths and weaknesses. QUALIFICATIONS: - Bachelor’s in Statistics, Data Science, Math or equivalent experience. - 2+ years of experience analyzing data and training statistical models in a production environment using Python or R. - 2+ years of experience with basketball data and the latest basketball analytics techniques. - 2+ years of experience with data visualization. - Expertise in statistics fundamentals and state-of-the-art predictive modeling techniques. - A desire to work in a startup-like environment where you will be empowered to make design decisions. - A track record of writing clean and well-documented code. - Enthusiasm for basketball. - Nice to have experience with MLOps. - Nice to have experience with SQL. - Nice to have experience with data engineering. - Must be legally authorized to work in the United States. PHYSICAL DEMANDS: - This person must be able to communicate and express themselves both written and verbally. - This person must be able to observe, inspect, estimate, and assess. - This person must be able to sit for long periods of time. The Utah Jazz provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. Note: The need may arise to revise, supplement, or rescind portions of this job description, and Utah Jazz reserves the right to do so at any time. Employees shall be required to meet the qualifications and perform the duties of any revised job description.

• 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 • Champion a data-driven decision culture • Mentor junior data scientists

• Serves as the technical lead for advanced analytics, predictive modeling, and machine learning initiatives supporting clinical decision-making and operational optimization. • Designs and validate algorithms for interoperability workflows, clinical informatics systems, and Agile integration reporting. • Ensures compliance with VA data governance, security, and privacy standards.

Alma is on a mission to simplify access to high-quality, affordable mental health care. We do this by making it easy and financially rewarding for therapists to accept insurance and offer in-network care. When a provider joins Alma, they gain access to a suite of tools that not only help them better run their business, but also grow it sustainably and develop as a provider. Alma is available in all 50 states, with over 20,000 therapists in our growing network. Anyone looking for a therapist can browse Alma’s free directory. Alma has raised $220.5M in funding from Insight Partners, Optum Ventures, Tusk Venture Partners, Primary Venture Partners, First Round Capital, Sound Ventures, BoxGroup, Cigna Ventures, and Rainfall Ventures. Alma was also named one of Inc’s Best Workplaces in 2022 and 2023. Website Job Board Values Candidate Interview Guide --- Senior Data Scientist II 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 - Champion a data-driven decision culture - Mentor junior data scientists 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: - 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) - 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. Learn more about how Alma handles applicant data by reading Alma's Applicant Privacy Notice.