Sr Data Scientist

Product & Engineering Boston, MA United States


Company Overview 

AtScale enables smarter decision-making by accelerating the flow of data-driven insights. The company's semantic layer platform simplifies, accelerates, and extends business intelligence and data science capabilities for enterprise customers across all industries. With AtScale customers are empowered to democratize data, implement self-service BI and build a more agile analytics infrastructure for better more impactful decision making.  

Job Description

As an ML Engineer at AtScale, you will not just apply machine learning to standard use cases, but help us build better tools that enable our customers to do so. We're building new tools that innovate on data science workflows. This is an opportunity to help build a new business from the ground up, within an existing market and company. 

  • Collaborate to design, document, and implement new solutions that help streamline and address core challenges of common data science workflows
  • Extend existing data science tools and develop new APIs 
  • Work closely with external users and customers (data scientists, machine learning engineers, business analysts) to pilot new offerings
  • Help establish best practices, document designs, and mentor junior team members
  • Manage junior team members as necessary 
  • Define requirements, estimate work, track dependencies, report progress, highlight blockers
  • BA/BS preferred in a technical or engineering field
  • 3+ years experience
  • Expertise in statistics fundamentals as well as machine learning algorithms
  • Proficiency developing in Python and associated toolkits (numpy, pandas, scipy)
  • Familiarity with popular machine learning libraries (e.g. scikit-learn, XGBoost,  Spark, TensorFlow)
Preference will be given to candidates with
  • Experience working with one of the cloud providers like AWS, MSFT Azure, or GCP
  • Experience with data science and machine learning platforms like DataRobot, Dataiku, Sagemaker, AzureML,, Databricks
  • Strong understanding of data warehouse concepts and working experience with relational databases and cloud data warehouse (Snowflake, Databricks, Redshift, BigQuery, Synapse)
Join a team of passionate people committed to redefining the way business intelligence and AI is done.
For additional information, visit