Senior Data Scientist

Senior Data Scientist

This job is no longer open
Senior Data Scientist
 
About AllTrails

AllTrails is the most trusted and used outdoors platform in the world. We help people explore the outdoors with hand-curated trail maps along with photos, reviews, and user recordings crowdsourced from our community of millions of registered hikers, mountain bikers, and trail runners in 150 countries. AllTrails is frequently ranked as a top-5 Health and Fitness app and has been downloaded by over 40 million people worldwide.

Every day, we solve incredibly hard problems so that we can get more people outside having healthy, authentic experiences and a deeper appreciation of the outdoors. Join us!  

What You’ll Be Doing:

    • Building statistical and machine learning models that will be pushed into production systems, at-scale
    • Identifying unique solutions in which data can be transformed and applied into actionable solutions and new product features that drive revenue for the organization
    • Partnering with teammates and product managers to develop robust solutions to highly specific technical challenges
    • Identifying technical and strategic gaps in our data science infrastructure and proactively driving best-in-class solutions
    • Presenting work to a large variety of stakeholders

Requirements:

    • 5+ years of work experience in data science.
    • B.S. or M.S. degree in data science, machine learning, mathematics, or equivalent practical experience.
    • Proficiency with Python and SQL
    • Solid understanding of basic machine learning concepts (e.g. clustering, regression, classification) and a curiosity to learn and apply more complex techniques (neural networks)
    • Experience with the end-to-end machine learning lifecycle (data cleaning, feature extraction, training/testing, model evaluation, optimization, deployment, etc.) 
    • Experience with scaling models in a production environment
    • Experience working collaboratively on shared codebases using Git
    • Experience in iterative exploratory notebook development (Jupyter, Hex, etc.) 
    • Comfort in reading highly technical research papers and translating learnings into effective prototypes
    • Strong attention to detail, analytical, and a problem solver with a keen insight for asking the right questions and building solutions to drive direct business value
    • Expert communication skills, including the ability to persuade and inspire, a knack for breaking down complex concepts, and a proactive attitude towards knowledge sharing and documentation 

Bonus Points:

    • Professional experience implementing or working with geospatial trajectory (GPS / GIS) data, recommendation engines and personalization, NLP, and/or computer vision
    • Experience with modern Data Warehouses like BigQuery, Redshift, or Snowflake
    • Experience with transformation tools like dbt or Dataform
    • Experience with best practices in data engineering and software development lifecycles

Our Commitment to You:

    • A competitive and equitable compensation plan. This is a full-time, salaried position that includes equity
    • Physical & mental well-being including health, dental and vision benefits.
    • Trail Days: First Friday of each month off to hit the trails!
    • Unlimited PTO
    • Flexible parental leave
    • Remote employee equipment stipend to create a great remote work environment
    • Annual continuing education stipend
    • Discounts on subscription and merchandise for you and your friends & family
    • An authentic investment in you as a human being and your career as a professional
Nature celebrates you just the way you are and so do we! At AllTrails we’re passionate about nurturing an inclusive workplace that values diversity. It’s no secret that companies that are diverse in background, age, gender identity, race, sexual orientation, physical or mental ability, ethnicity, and perspective are proven to be more successful. We’re focused on creating an environment where everyone can do their best work and thrive.
This job is no longer open
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