Inclusively is partnering with one of the largest transportation networks to hire a Data Scientist, Algorithms, Fulfilment. **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 empowers job seekers with disabilities, caregivers, and veterans by using Success Enablers–accommodations and personalized workplace modifications that help all job seekers reach their full potential and excel. 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).
Create your profile, select Success Enablers, and connect to jobs from our partnered employers who are committed to creating diverse and inclusive teams. When registering, you must acknowledge that this platform is for people with disabilities, caregivers, and veterans. However, Inclusively does not require candidates to disclose their specific disability to join the platform.
As a Data Scientist specializing in Algorithms, you will develop mathematical models for the platform's core services, addressing diverse problems in optimization, prediction, machine learning, and inference. On the Fulfillment team, you will report to a Team Manager overseeing Data Scientists, Data Analysts, Machine Learning Engineers and Software Engineers. You will collaborate with cross-functional teammates and stakeholders to enhance algorithms for matching rideshare supply and demand in real time and develop product offerings to improve the experiences of our Riders and Drivers.
Responsibilities:
- Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context.
- Perform exploratory data analysis to gain a deeper understanding of the problem
- Construct and fit statistical, machine learning, or optimization models
- Write production modeling code; collaborate with Software Engineers to implement algorithms in production
- Design and run both simulated and live traffic experiments
- Analyze experimental and observational data; communicate findings; facilitate launch decisions
Experience:
- M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields
- 2+ years professional experience
- Passion for solving unstructured and non-standard mathematical problems
- End-to-end experience with data, including querying, aggregation, analysis, and visualization
- Proficiency with Python, or another interpreted programming language like R or Matlab
- Willingness to collaborate and communicate with others to solve a problem
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
Our company is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
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. #Hybrid
The expected base pay range for this position in the Seattle area is $124,000 - $155,000. 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.