We need an innovative and hands-on Head of Data Science / Machine Learning to join our growing team.
Our goal is to create economic opportunity for businesses and local professionals globally.
We believe AI and machine learning will be key factors across our products and company in accelerating our mission.
Who You Are: BA/BS in Math, Statistics, Physics, Computer Science, or other quantitative fieldsAdvanced degrees preferred but not required, e.g.
PhD or Masters Physics, CS, Stats, etc.12-15+ years experience doing quantitative analysis, modeling and pushing ML into productionEntrepreneurial mindset with a mix of startup and large scale experience, bonus points for being a co-founderAdvanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, or similar) and experience with applicationsDeep understanding of machine learning techniques (clustering, decision tree learning, artificial neural networks, or similar) and their real-world advantages/drawbacksStrong communication and presentation skills with a natural executive presencePast experience acting as a technical lead or manager of small-to-medium sized teamsExpert level fluency using languages like Python & SQL to manipulate data and draw insights from large data setsWorking knowledge of common web/mobile architectures, data pipelines, CI/CD processes, etc.Strong understanding of DBT or other similar data transformation/organization methodologiesStrong understanding of the dynamics around two-sided marketplaces and/or other complex business models, with an emphasis on product acumenExperience with BI tools (e.g.
Mode, Tableau, Looker)What You'll Do: Lead a small team of ML engineers and eventually grow a global team over the coming months and yearsSpend 70% of your time hands-on (building/integrating new models) and 30% of your time defining our ML strategy and managing the teamOptimize the team for speed and impact over patience and precisionOwn a portfolio of proprietary and third party platforms needed for day-to-day execution like MLOps, experimentation systems, and data transformation pipelines (DBT)Deliver best-in-class technical approach and problem analysis documentsImpact key company objectives by working closely with Product to refine our roadmapBuild/maintain reports, dashboards, and metrics to monitor the performance of our productsAct as a data evangelist to create a data-driven culture across the company and provide mentorship/feedback to analysts and other data-minded stakeholdersFor CA based applicants: The base salary for this position is $230,000 - $265,000This position is eligible for equity in the form of stock optionsThis position is eligible for Instawork benefits, including:A variety of medical, dental, and vision plans with coverage beginning on the date of hireFlexible paid time offAt least 8 paid company holidays annuallyHome office stipendPhone stipendCommuter stipendSupplemental pay on qualified leavesEmployee health savings accounts (HSA) contributionFlexible spending plans401K planPerkspot - discount program through LumityA variety of factors are considered when determining someone's compensation including a candidate's professional background, experience, and location.
Final offer amounts may vary from the amounts listed above.
Instawork Values: Bias for Action-- We are a growing team and an evolving product.
We want a team of do'ers to drive the company forward, even if it means making decisions with incomplete information or being wrong.Act Like an Owner-- Treat this company as though it is your own.
Execute on the fundamentals, and act creatively to drive growth.
Your ability to drive impact in any part of our company is only limited by your courage and conviction, not your job title.Always Be Learning-- We are changing an entire industry.
We strive to learn from each other and get better each day, week, and month, so that our team's learnings can compound and we can all improve, together.Empathy, Trust, Candor -- Empathy for our business partners and professionals means we put ourselves in their shoes.
Empathy for our colleagues means we are always upfront and honest with each other, which comes from trust.#LI-Remote
#LI-Hybrid
#LI-OnSite
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