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Inclusively

Data Scientist, Algorithms - Growth

Inclusively, Seattle, Washington, us, 98127


Inclusively is partnering with one of the largest transportation networks to hire a Data Scientist, Algorithms - Growth. **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.Our Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for someone who is passionate about solving mathematical problems with data, and are excited about working in a fast-paced, innovative and collegial environment.As a Data Scientist on the Growth team, you will be working to grow our user base (drivers and riders) in dynamic marketplace conditions through experimentation, modeling, causal inference, and optimization.Responsibilities:Partner with other scientists, engineers, product managers, and marketers to frame problems mathematically and within the business contextPerform exploratory data analysis to gain a deeper understanding of problemsDevelop and fit statistical, machine learning, or optimization modelsWrite production model code; collaborate with Software Engineers to implement algorithms in productionDesign and implement both simulated and live experimentsAnalyze experimental and observational data; communicate findings; facilitate launch decisionsExperience:M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields or related work experience0-3+ years of professional experience for PhDs or 3-5+ years for Master’s in a data scientist rolePassion for solving unstructured and non-standard mathematical problemsEnd-to-end experience with data, including querying, aggregation, analysis, and visualizationProficiency with Python and working in a production coding environmentProven experience with building and evaluating machine learning modelsAbility to collaborate and communicate with others to solve a problemStrong oral and written communication skills, and ability to collaborate with cross-functional partnersBenefits:Great medical, dental, and vision insurance optionsMental health benefitsFamily building benefitsIn addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off401(k) plan to help save for your future18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligiblePre-tax commuter benefitsThis 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 range of pay for this position in the Seattle Area is $128,000 - $165,000. 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.

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