OUTCOMES

• Data analysis and exploration: Conduct in-depth analysis of large datasets, both structured and unstructured, to derive meaningful insights.
• Statistical modeling: Develop and apply statistical models to identify patterns, trends, and correlations in HR performance & engagement data, providing a foundation for evidence-based decision-making.
• Feature engineering: Identify and engineer relevant features from diverse data sources to improve the performance and accuracy of machine learning models.
• Training data: Champion the establishment of new labeled training datasets that will be used as the foundation data for model development.
• Machine learning model development: Design, develop, and implement machine learning models (supervised and unsupervised) for multiple use cases to enhance customer outcomes.
• Model deployment and integration: Collaborate with engineering teams to deploy and integrate machine learning models into production systems, ensuring scalability and reliability. 
• Model evaluation and iteration: Continuously evaluate the performance of AI models, refine algorithms, and iterate based on feedback and changing business needs to ensure ongoing effectiveness.
• Collaboration with stakeholders: Collaborate closely with stakeholders across the company to understand business requirements and translate them into actionable data science solutions.
• Documentation: Maintain comprehensive documentation for models, methodologies, and data processing pipelines to ensure knowledge transfer and replicability.

WHAT YOU’LL BRING

• BS or higher in Computer Science, Statistics, Mathematics, Physics, a related quantitative field, or equivalent experience
• 5+ years of industry data science experience
• Experience and proficiency in applying statistical techniques and methodologies on large datasets
• Demonstrated experience in developing and deploying statistical learning/machine learning techniques with significant business outcomes  (LLMs a plus)
• Proficiency in programming languages commonly used in data science (Python and SQL preferred)
• Experience with MLOps frameworks, Data warehouses, and Relational databases
• Understanding of modern software development and engineering practices including scrum/agile, git, CI/CD, and DevOps
• Experience effectively communicating & collaborating with non-technical stakeholders

SAMPLE WEEK IN THE LIFE

• Monday: Collaborate with Product Managers to provide relevant data that enables product decision making. Manage ad-hoc requests regarding product metrics with clear insights and explanation. Attend the all-hands Boost to hear company updates.
• Tuesday: Collaborate with the Engineering team regarding data processing and product functionality, and review application code. Meet with internal stakeholders to review data findings, share data stories, and determine next steps with consideration to your findings.
• Wednesday: Create queries and dashboards in data visualization tools. Manage ad-hoc requests regarding product metrics with clear insights and explanation. Join a meeting with the Customer Success team to collaborate on data needs for a specific project. Attend the all-hands Boost to learn more about department initiatives or micro-learnings.
• Thursday: Proactively provide examples of data insights usage and educating team members on the tools you have created. Work cross-functionally with DevOps to support the pipelines and data extraction process for our data infrastructure.
• Friday: Collect and digest information from Pendo and relay data/insights to appropriate stakeholders. Finish your week by submitting your 15Five and participating in the Question Friday Boost.

15Five’s strategic performance management platform drives action and impact, helping businesses and their people thrive. Combining generative AI, custom analytics and human-centered principles, HR leaders can accelerate engagement, performance and retention via 360° performance reviews, engagement surveys, goal tracking, manager development, and ongoing feedback tools like guided 1-on-1s and check-ins.

At 15Five, we focus on building a diverse team that prioritizes inclusivity and celebrates everyone’s unique identity. We are proud of our thriving remote-first culture balanced with annual opportunities for all employees to connect in person. We also offer:

- Full Medical, Dental, and Vision Insurance

- Flexible Time Off (minimum 3 weeks off every year)

- Employer paid Short-Term, Long-Term Disability, and Term Life

- 401K with 4% match at 6 months of employment

- Inclusive Benefits Stipend (to help cover some of the gap on medical needs not covered by traditional benefits)

- Up to 16 weeks Paid Parental Leave for birth and non-birth parents

- 12 paid holidays in 2024

- TalkSpace (mental health therapy)

- Wellness Coach App (offers meditation and movement classes, courses, workshops, and panels in a live and interactive setting)

- Best Self Time (2 hours on Friday dedicated to your personal self-care/self-growth/recharge activities)

- Monthly reimbursement for internet

- Sabbatical Program accessed at 5 or 7 Years

- We also provide extensive training and development such as strengths discovery and alignment and Manager specific development opportunities

15Five follows equitable hiring practices. Our compensation programs are designed to attract, motivate, and retain talented employees who are highly engaged, high performing, and have an exceptional impact on the business and our customers.

The base salary range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the role across all US locations. We benchmark all roles for compensation in ranges relative to the top half of the market of similar tech companies using up-to-date market data. Within the range, individual pay is determined by budget allocated for the role and additional factors, including job-related competencies and skills, experience, and relevant education or training. Please note that the compensation details listed in US job postings reflect the base salary only, and do not include bonus, equity, or benefits. The US new hire base salary range for this full-time role is $204,000-$225,000 + bonus or commissions + equity + benefits. 

Note that base salary ranges are reviewed each year based on up-to-date market data, and team members who are performing are eligible for a merit increase, budget permitting. 

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.

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