Associate Data Scientist

Associate Data Scientist

This job is no longer open

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 Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, change the business opportunities and improved financial experience. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level.

Locations
United States

What you will do

  • Impact and influence: Capable of prioritizing and completing tasks with clear direction on process and outcomes effectively leverages team practices, procedures and tools (e.g. agile, data science cookie cutter repo, filepath naming conventions, etc) to complete work, and to minimize repeat mistakes. Has begun to develop and apply the core skills and knowledge required for the role (e.g. learning source control / editors, the build system, unit test, self-documenting code, etc.) Has begun to own small-to-medium features for technical design, through to completion is able to know when to ask for help, in order to get themselves unblocked.
  • Leadership and teamwork: Demonstrates company's core values and principles in approach to work, and partnership with stakeholders, clients, and teammates. Demonstrates flexibility and goes beyond immediate role to assist others with day-to-day responsibilities.
  • Communication: Is effective in communicating status to the team. Clearly communicates assumptions, gets clarification on tasks up front to minimize the need for rework, and vocalizes problems they have identified with requirements for their own work. Understands and can communicate to individuals outside their squad how their work fits into the larger project. Demonstrates an eagerness to find ways to improve by soliciting feedback from others, and simultaneously gives timely and helpful feedback to peers and managers. Actively demonstrates empathy in situations where there are inevitable goal conflicts through collaboration, compromise and clear communication.
  • Software development and engineering skills: Focused on learning and using the team's and firm's existing tools, resources, and processes, drawing upon previous experience in software development.
  • Statistical inference and mathematical modeling: Broad knowledge of basic statistical concepts. Primary focus at this stage of their career is growing as a statistician, for example by learning the company's tools / resources / processes, as well as the relationship between data scientists and financial and data analysts within the Finance organization and at the company more broadly. Strives to understand the underlying assumptions and mechanics of machine learning models and existing libraries, the theory around the development of said models. Fully understands that data cleaning is the majority of data science work, strives to consistently followed stated best practices (in industry, at the company, and in their respective squad and within the team.) Actively participates in statistical design with guidance; this includes feature generation, model selection, assumption testing. Regularly engaging in conversations with manager about benefits / trade-offs of choosing to develop deep expertise in a particular modeling area, or to develop breadth of experience across a range of modeling areas

Education Qualifications

  • Bachelor's Degree Math, Statistics, Computer Science, Economics required 
  • MBA preferred

Experience Qualifications

  • Typically < 2 years preferred 
  • Healthcare, Health Insurance and/or Health Insurance Carrier experience preferred

Licenses/Certifications

  • SQL
  • Python
  • R

Skills and Abilities

  • Ability to maintain confidentiality of corporate data -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 general supervision and instruction, and new projects or assignments with detailed instruction. -Demonstrates ability to work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors. (Basic proficiency)
  • Exercises judgment within defined procedures and practices to determine appropriate action. -Ability to communicate with employees at all levels of the organization. -Capable of applying practical knowledge gained through education, experience, and understanding of company policies/procedures to resolve a variety of issues. -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. (Basic proficiency)

Travel Requirements
Minimal

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 $63,600 to $104,880. 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:  https://www.trinet.com/documents/blt5b61a1040aae1904

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 recruiting@trinet.com to request such an accommodation.

This job is no longer open
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