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Data Scientist

Inclusively

Inclusively

Data Science
New York, NY, USA · New York, NY, USA · United States
Posted on Tuesday, June 11, 2024

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.

For this role on the company Media, you will be working on one of the most profitable and fastest growing revenue centers in our company. We are the team that brings delightful ad experiences in the company app and in out-of-home displays such as tablets mounted behind driver seats or on displays mounted on the top of the cars. We're looking for a motivated and results-oriented Data Scientist with experience in advertising to join our growing team! This role will require developing keen insights about the enterprises we do business and how best we can serve them using our unique capabilities.

We have doubly lofty goals for 2024. You must be able to work fast and independently, and possess excellent teamwork and communication skills. The ideal candidate will also have an excitement for solving data-driven marketing problems and relevant experience in the ads space.

Responsibilities:

  • Set business metrics that measure the health of our products, as well as passenger and driver experience
  • Partner with product managers, engineers, marketers, designers, and operators to translate business insights into decisions and action
  • Find opportunities for growth and efficiency for our company
  • Design and analyze product experiments; communicate results and launch decisions
  • Develop analytical frameworks to monitor and visualize business and product performance
  • Be a mentor to junior data scientists and a data-driven thought leader to cross-functional managers

Experience & Skills:

  • Degree in a quantitative field like statistics, economics, applied math, operations research or engineering. Advanced degrees (Master’s or PhD) are preferred but not required
  • 3+ years of industry experience in a product analytics-based science or stats role
  • 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
  • Experience with Machine Learning at a basic or higher level is desirable
  • Experience in experimentation and statistical analysis
  • Strong oral and written communication skills, and ability to collaborate with cross-functional partners to build the business

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 New York City area is $140,000 - $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.