Senior Data Scientist, ML and Algorithms (Remote)

What You’ll Be Doing:

• Designing and implementing algorithms that power everything from the way we optimize our content to the way we personalize experiences
• Designing machine learning models that will be pushed into production systems, at-scale
• Identifying unique ways in which data can be transformed into solutions that directly 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, artificial intelligence, mathematics, or equivalent practical experience
• Proficiency with both Python and SQL
• An understanding of both simple and complex machine learning and artificial intelligence concepts (e.g. clustering, regression, classification, deep learning, transformers, diffusion) 
• Professional experience working in least one of the following areas: vector embeddings, deep learning, natural language processing, computer vision, generative AI (e.g. LLMs, transformers), personalization, route optimization, geospatial trajectories (GPS / GIS)
• Experience with the end-to-end machine learning lifecycle (data cleaning, feature extraction, training/testing, model evaluation, optimization, deployment, etc.) 
• Experience in collaborating with engineers in designing models that scale to production-level request volumes
• Experience working collaboratively on shared codebases using Git
• Experience in iterative exploratory notebook development (Jupyter, Hex, etc.) 
• Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
• Regularly enjoys 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:

• Querying and manipulating data on the scale of TBs+
• Experience with transformation tools like dbt or Dataform
• Experience with best practices in ML ops and software development lifecycles

What We Offer:

• 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.
• Annual continuing education stipend.
• Discounts on subscriptions and merchandise for you and your friends & family.
• An authentic investment in you as a human being and your career as a professional.