​Fit Analytics GmbH

Applied Data Scientist (d/f/m)

Job description

Based in Berlin and Chicago, we at Fit Analytics - a Snap company - are working together to tackle a single problem: making it easy for online shoppers to find the right clothes size. We help some of the world’s largest clothing brands solve sizing issues, boost conversions and slash returns.

OUR VISION is a world with zero returns in apparel (and footwear) e-commerce resulting from a truly personalized, worry-free shopping experience.
OUR MISSION is to use the power of machine learning to help fashion shoppers buy with confidence and eliminate the need for returns.

In March 2021, we joined the Snap family. As part of a global engineering & product organisation, our goal is to craft the future of online shopping.

Your Team

Sizefox is an agile multi-functional team of backend, frontend, infrastructure engineers, data scientists, designers, as well as sales and marketing specialists. We work on a new SaaS solution at Fit Analytics which we successfully released in 2021. We are looking for an Applied Data Scientist (d/f/m) to join us in Berlin and help us develop this product further.

Some of the Values our team holds and hopes to share with you:

– We step up to address difficult issues, and say what needs to be said
Continuous Learning – We actively learn through experimentation when tackling new problems, using both our successes and failures
Committed – We take on new opportunities and tough challenges with a sense of urgency, high energy, and passion

What You’ll Do

    • Work on a recently released product, in a multi-functional product team with engineers, designers, marketers
    • Actively develop our size recommender system (Python web service), collaborate on other parts of the codebase as needed
    • Use thoughtful experimentation to enable data-driven decisions
    • Take part in ideation and product development
    • Contribute to creating and using additional datasets from both internal and external sources
    • Help refine product metrics and their reliable tracking

Ingredients For Your Success

    • You define problems, quickly form and test hypotheses, ship solutions, prioritise picking low-hanging fruit
    • We are a highly collaborative team: excellent communication skills and high attention to detail will be essential
    • Superb problem-solving skills: you structure ambiguous business challenges and turn them into concrete plans
    • Strong statistics knowledge (frequentist vs Bayesian, sampling, group comparisons)
    • You are confident writing well-tested, reproducible, deployable code

Minimum Qualifications

    • Proficient in Python incl. numpy and pandas
    • Confident with SQL
    • Solid grasp of statistics fundamentals (hypothesis testing, inference)
    • Basic understanding of docker, web services, REST APIs, cloud infrastructure (or willingness to learn these quickly)
    • Proficiency in git

Preferred Qualifications

    • Degree in a relevant field (applied math, statistics, computational sciences)
    • Extensive experience writing data-centric software (hobby projects count!)
    • Hands-on Machine Learning experience (scikit-learn, keras, tensorflow)
    • Hands-on experience in one additional programming language (Typescript/Javascript, R)
    • Experience with Google Cloud Platform, especially BigQuery
    • Experience working in Agile teams

What We Offer You

    • Hands-on experience with a product that helps avoid the ecological & economical footprint of returns in online apparel & footwear shopping
    • A very collaborative and supportive environment fostered by our smart, creative and kind international team
    • A family-friendly company offering child sick days and paid Parental Leave
    • Flexible work hours and freedom to work from home
    • 30 vacation days
    • Equity in our parent company Snap
    • Monthly net allowance to spend as you wish (instead of pre-defined perks)
    • Regular team and company events as well as health & well-being initiatives
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

By clicking the “APPLY FOR THIS JOB” button you expressly make the following representations and warranties and give your consents as described below:
Your personal data contained in your application will be collected by Fit Analytics GmbH (“Controller”), which is located at Voigtstrasse 3, 10247 Berlin, Germany and can be contacted per email at jobs@fitanalytics.com.
Fit Analytics collects your personal data for the purposes of managing Fit Analytics’ recruitment related activities. Consequently, Fit Analytics may use your personal data in relation to the evaluation and selection of applicants including for example setting up and conducting interviews and tests, evaluating and assessing the results thereto and as is otherwise needed in the recruitment processes including the final recruitment.
Your personal data will be shared with Lever, Inc., a cloud services provider located in the United States of America and engaged by the Controller to help manage its recruitment and hiring process on behalf of the Controller. Accordingly, if you are located outside of the United States, your personal data will be transferred to the United States once you submit it through this site.
Your personal data will be retained by the Controller as long as the Controller determines it is necessary to evaluate your application for employment. If no legal retention period exists, the data will be deleted as soon as storage is no longer required or the legitimate interest in storage of this data has lapsed. You may give consent that we keep your application for 6 months for future opportunities.

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