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 Data Scientist (Finance) is responsible for supporting data science initiatives that drive business profitability, change business opportunities and improve customer experience. This role will work closely with stakeholders to understand the problem they are trying to solve, establish hypotheses, gather and transform relevant data, build algorithmic prediction and forecasting models and deploy to production. The data scientist will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. 

Locations
United States

What you will do

• Impact and influence: Capable of prioritizing and completing tasks independently given objectives. 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. Demonstrates the ability to develop and apply the core skills and knowledge required for the role (e.g. learning source control / editors, the build system, unittest, self-documenting code, etc). Confidently owns small-to-medium features for technical design, through to completion. Demonstrates the initiative to fix issues before being explicitly assigned to them.
   
• 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. Demonstrates an understanding of the business impact and business units impacted by the work completed and uses that understanding to drive requirements that consider all parties' needs. Consistently exhibits empathy for the user of the software being built, and uses that as a guide for decision-making.
   
• Communication: Effective in communicating status to the team. Clearly communicates assumptions and vocalizes potential pitfalls and proposes direction and solution to overcome them. Gathers requirements for their own work, understands and can communicate to individuals outside their team 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. 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 and potential solutions with requirements for both their own work and adjacent work (for example, lack of clarity, inconsistencies, technical limitations.
   
• Software development and engineering skills: Contributes to and is able to work in other areas of their team or the larger team's codebase.  Develop and code software programs, algorithms, and automate processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
   
• Statistical inference and mathematical modeling.: Knowledge of advanced statistical concepts. Primary focus at this stage of their career is growing as a data scientist. Confidently states assumptions and understands the mechanics of machine learning models and existing libraries and the theory around the development of said models. Fully understands the “why” behind how the data answers/proves/disproves a hypothesis. Engages in the statistical design, including feature generation, model selection, assumption testing. 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 guidance and ideates on sources for additional needs 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. 

Education Qualifications

• Bachelor’s degree in a STEM related field 
• Master’s degree preferred

Experience Qualifications

• Demonstrated 2 plus years of experience in a data science role.
• Demonstrated experience in programming languages such as Python or R, and experience with data manipulation and analysis tools like SQL, Pandas, or NumPy

Skills and Abilities

• Ability to determine methods and procedures on new assignments. 
• Demonstrates ability to work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. 
• Exercises judgment in selecting methods, techniques, and evaluation criteria for obtaining results
• Capable of applying a wide range of experiences, professional concepts, and company objectives to resolve complex issues in creative and effective ways. 
• Demonstrates persistence in the face of roadblocks. 
• Excellent verbal and written communication skills.
• Excellent interpersonal skills -Excellent presentation and facilitation 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. 

Travel Requirements
Minimal

Work Environment

• Work in clean, pleasant, and comfortable home or office setting with reliable internet. 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 $76,000 to $182,400. 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.