Software Engineer - San Francisco, United States - Inclusively

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    Description
    Inclusively is partnering with one of the largest transportation networks

    to hire a Software Engineer, Rider


    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 experienced, product-focused software engineers for our Rider Team.

    We are growing our team with people who want to build, improve, and incorporate technologies that enrich the lives of our community.

    As an engineer at our company, you'll collaborate with teams like product, data science, analytics, and operations on code that empowers us to iterate quickly while focusing on delighting our passengers and drivers.

    As a Software Engineer for Rider, you will lead multiple work streams that improve riders' experience with rideshare.

    In addition, you will focus on incentivizing riders to prefer our company, building differentiated features for specific use-cases like travel, commute & social and integrating strategic partners into the company rideshare ecosystem.

    As an engineer on our team, you'll work hand in hand with various teams across our company, fostering collaboration and driving innovation to increase the adoption & usage of our company.


    Responsibilities:
    Leverage data to build analytic frameworks to shape product and business cases for the Express Drive vehicle rental program
    Partner with product managers, engineers, and operators to translate analytical insights into decisions and action
    Design and analyze experiments; communicate results and act on launch decisions
    Develop analytical frameworks to monitor business and product performance

    Experience:
    Degree in a quantitative field (advanced degrees preferred), or relevant work experience
    Professional or educational experience with engineering or hard science fields. Hands-on experience with hardware engineering or hardware products preferred.
    4+ years of industry or research experience in a data science or analytics 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 or R
    Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners

    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 range of pay for this position in New York is $132,000 - $150,000. 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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