Senior Data Scientist

Full time

Employment Information

TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers’ compensation insurance.

TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you’re passionate about innovation and making an impact on the large SMB market, come join us as we power our clients’ business success with extraordinary HR.

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single requirement. At TriNet, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every single qualification in the job description, we encourage you to apply anyway. You may just be the right candidate for this or other roles.

A Brief Overview

The Senior Data Scientist has an intimate knowledge of business objectives and works with leadership to provide data science solutions that apply to cross functional teams roadmap. They will develop and code software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Incumbents are tasked with identifying meaningful insights from large data and metadata sources; and interpreting and communicating insights and findings from analysis and experiments to product, service, and business managers. The senior data scientist will mentor team members to cultivate the skills and knowledge necessary to contribute to business needs and create a data driven culture. This role will prepare and deliver results to stakeholders and facilitate the deployment of models to production systems.

What you will do

  • Impact and influence: Demonstrates persistence in the face of roadblocks, dispatching them efficiently and pulling in others to help as necessary, sooner rather than later. Demonstrates the initiative to fix issues before being explicitly assigned to them (this assumes such a culture is fostered on the squad.) Delivers increasingly complex product features that (they believe) are well-baked and bug-free. Has end-to-end responsibility on product building-blocks, or entire products, that are increasingly complex over time; contributes to common code (again, this assumes a sufficient culture on the squad to support these.) Identifies & proactively tackles technical debt before it grows to be “too large” i.e. into debt that requires significant upfront work to resolve. Scopes & stages work into well-defined milestones to avoid monolithic deliverable; is constantly working to make accurate timeline estimates and deliver to those estimates. Owns technical testing, measuring performance for their products, and is developing a reputation for having drama-free launches.
  • Leadership and teamwork: Seeks and uses empirical evidence through proof of concepts / tests / external research when identifying and articulating problems / risks of their own work or others. Contributes consistently to regular Lunch & Learns. Provides mentorship to junior engineers and teammates via pairing, design and code reviews. Demonstrates an understanding of the business impact and business units impacted by the work completed on their squad and uses that understanding to drive requirements that take into account all parties' needs. Consistently exhibits empathy for the user of the software being built and uses that as a guide for decision-making. Takes initiative to identify and solve high-impact (“important”) problems, coordinating with others on cross-cutting technical issues. Helps set the direction at the project / service level and consistently influences decision-making at the squad level. Contributes to the culture of learning at the team level by providing help when asked.
  • Communication: Regularly and effectively communicates technical decisions through design docs, tech talks, and internal team wiki. Practices communicating across functional groups to become better at effective cross-group communication, ultimately enabling the ability to work well with individuals and teams across different groups and with different incentive structures (e.g. product management, stakeholders, etc). Proactively identifies and vocalizes challenges with requirements for both their own work and adjacent work (for example, lack of clarity, inconsistencies, technical limitations). Strives to help teammates grow and improve as individual contributors through code reviews, documentation, technical guidance, mentoring (OR serving as a Tech Lead on a project.) Communicates industry-wide and sets team-wide best standards. Strives to sit on the model or architecture review group. Understands the tradeoffs between technical, analytical, & product needs and communicates the “best” solution that manages those tradeoffs and takes all of these needs into account. Is learning how to get buy-in on solutions to technical problems affecting their team. Proactively identifies and proposes strategies around technical problems affecting their team. Continues to actively solicit feedback, and provides helpful feedback to squad- and teammates on projects outside their core area
  • Software development and engineering skills: Contributes to and is able to work in other areas of their squad’s or the larger team’s codebase
  • Statistical inference and mathematical modeling; understands and makes well-reasoned design decisions and tradeoffs in their area of data science work. Demonstrates the ability to dive into current data sources with minimal to no guidance and ideates on sources for additional data where gaps are apparent. Comfortable with inherent initial ambiguity of iterative data science cycle, and independently takes on modeling and analysis tasks. Demonstrates the ability to identify, then learn, new data processing technologies where needed. Consistently able to independently troubleshoot and resolves / debugs issues. Demonstrates knowledge of industry trends, and the team and company’s infrastructure and build system (including bitbucket / git / 4D). Sought out for guidance in a specific area of statistics or machine learning, or on a building block / component of the product they are building. Anticipates potential challenges and technical issues with implementing different modeling techniques and makes data and model implementation design decisions to avoid them. Owner of & expert on large sections of our codebase. Responsible for eliciting data science problem formulation from partner teams and achieve agreement & alignment from them. Can be trusted to map product requirements in order to determine the algorithm / model output that needs to be built.

Education Qualifications

Master’s Degree or equivalent experience-preferred

Experience Qualifications

Typically 5+ years

Skills and Abilities

  • Ability to maintain confidentiality of corporate data -Excellent presentation and facilitation skills -Business-minded leadership, with proven experience leading data teams and contributing key insights that have helped the organization execute and grow. -Deep technical expertise in Data Science, Analytics, or related fields. -Excellent communication skills with a demonstrated ability to explain technical concepts and insights to a variety of audiences. -Ability to complete routine work with little to no supervision and instruction, and general instruction over new projects or assignments. -Demonstrates ability to work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
  • Demonstrates good judgment in selecting methods and techniques for obtaining solutions. -Ability to communicate with employees at all levels of the organization, especially by Networks with senior internal and external personnel in own area of expertise.
  • Work typically impacts direct peers, supervisors, and cross functional partners. -Capable of applying a full understanding of area of specialization to resolve a wide range of issues in creative ways. -Excellent verbal and written communication skills. -Excellent interpersonal skills -A demonstrated commitment to high professional ethical standards and a diverse workplace -Ability to adapt to a fast paced continually changing business and work environment while managing multiple priorities -Proficient in Microsoft Office Suite.

Work Environment

Work in clean, pleasant, and comfortable office setting. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions. The salary range for this role is $96,200 to $230,800. The candidate’s final salary offer will be based on the candidate’s skills, education, work location and experience.

A candidate’s compensation may also include bonuses consistent with TriNet’s corporate bonus plan.

Additionally, subject to applicable eligibility requirements, TriNet offers permanent full-time employees a variety of benefits including medical, dental, and vision plans, life and disability insurance, a 401(K) savings plan, an employee stock purchase plan, eleven (11) Company observed holidays, PTO and a comprehensive leave program. Please click the following link for detailed information about our benefits offerings:

Please Note: TriNet reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Position functions and qualifications may vary depending on business necessity.

TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact to request such an accommodation.


Join our newsletter to get monthly updates on data science jobs.