Inclusively

Data Scientist

Job description

Inclusively is partnering with one of the largest transportation networks to hire a Data Scientist, Decisions. **Please note: this role is NOT an internal position with Inclusively but with the partner company.**


ABOUT INCLUSIVELY:

Inclusively is a digital tech platform that connects candidates with disabilities, who may benefit from workplace accommodations, to inclusive employers. This includes all disabilities under the ADA, including mental health conditions (e.g. anxiety, depression, PTSD), chronic illnesses (e.g. diabetes, Long COVID), and neurodivergence (e.g. autism, ADHD). Applicants with one or more of these conditions are encouraged to apply; Inclusively does not require applicants to disclose their specific disability.


We are looking for an experienced data scientist to join our strategic planning and P&L management team within the Rideshare Central Management organization.This individual will help manage the profit and loss for our Rideshare business and work closely with Data Scientist and Analysts in the team and cross teams to shape our future investment strategies.

The Strategic planning and P&L management team sits within the Central Market Management organization and reports through the Head of Rideshare. Our team is heavily cross-functional as we are at the intersection between Product, Engineering, Finance, Data Science, and Operations. You’ll own workstreams, analyses, modeling, strategy, and business metrics. We are looking for analytical talent to provide insights and actionable recommendations that will drive impact.


Responsibilities:

  • Working closely with investment lever teams to recommended strategies in quarter investments
  • Leveraging analytics and data science to analyze business problems
  • Partner with Data Scientist and Engineers to improve models and processes
  • Present findings, recommendations, and results to senior leadership and cross-functional stakeholders


Experience:

  • Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
  • Experience in leading high visibility projects and influencing others in a cross-functional team environment
  • Proficiency in SQL - able to write structured and efficient queries on large data sets
  • Experience in programming, especially with data science and visualization libraries in Python or R
  • Minimum 5+ years experience in strategic data science/analytics roles in a technology company, management consulting, investment firms, or an equivalent analytical role in a high growth startup
  • Experience in strategic investment, prioritizing against different projects, and leading teams in deep dive analysis, business metrics, and implementation


Skills:

  • Ability to independently break down large datasets and synthesize inputs from multiple sources
  • Ability to craft a compelling story and concisely present recommendations across teams and levels including both technical and non-technical audiences
  • Ability to manage, influence, negotiate, and inspire others in a fast-moving environment
  • Excellent organization, planning skills, and attention to detail
  • Ability to use data visualization tools to provide actionable insights and reusable frameworks
  • Strong financial knowledge and understanding of profit and loss
  • Advanced analytical and problem solving skills
  • Team leadership that inspires high performance while supporting and coaching team members
  • Proficiency in Spreadsheet, SQL, and Python


Benefits

  • Great medical, dental, and vision insurance options
  • Mental health benefits
  • Family building benefits
  • In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
  • 401(k) plan to help save for your future
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Pre-tax commuter benefits


This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.


The expected base pay range for this position in the San Francisco is $144,000 - $180,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

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