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TriNet · 3 days ago

Senior Data Scientist

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Bookkeeping and PayrollEnterprise Software
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Responsibilities

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.
Performs other duties as assigned
Complies with all policies and standards

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data scienceTechnical expertiseProject managementMicrosoft office proficiencyProblem-solvingHard-working communication presentation interpersonalBusiness-minded leadership judgmentAdaptabilityEthical standards

Required

Master's Degree or equivalent experience preferred
Typically 5+ years of relevant experience
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 the 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

Benefits

Medical, dental, and vision plans
Life and disability insurance
401(K) savings plan
Employee stock purchase plan
Eleven (11) Company observed holidays

Company

TriNet provides HR solutions and services to small and medium-sized businesses.

H1B Sponsorship

TriNet has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (34)
2022 (99)
2021 (72)
2020 (107)

Funding

Current Stage
Public Company
Total Funding
$856.68M
Key Investors
Atairos
2023-08-02Post Ipo Debt· $400M
2022-03-01Post Ipo Equity· $16.68M
2016-12-22Post Ipo Secondary· $440M

Leadership Team

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Mike Simonds
President and CEO
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Jeffery Hayward
Chief Technology Officer
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Company data provided by crunchbase
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