Data Scientist / ML Engineer - Jobs Opendatascience

AtScale is a cutting edge Semantic Layer that bridges Business Intelligence and Machine Learning.

As today’s global enterprises modernize their legacy systems for advanced analytics and migrate their data and analytic workloads to the cloud, they face unforeseen challenges and can’t realize the benefits of speed and cost savings they expect. AtScale’s Semantic Layer provides a single, secured and governed workspace for self-service analytics. AtScale combines a unique Autonomous Data EngineeringTM capability when combined with our Universal Semantic LayerTM allowing business intelligence and machine learning teams to easily consume data in faster, more accurate business decisions at scale all while reducing cloud spend. AtScale is relied upon globally by firms including JPMorgan Chase, Wells Fargo, The Home Depot, Wayfair and many more.

Headquartered in Boston, they are hiring experienced (early-mid-senior level) data scientists and machine learning engineers to design, build, and deliver their new industry leading machine learning and AI offerings to market. This is an opportunity to help build a new business from the ground up, within an existing market and company.

Responsibilities

Partner with product management, business development, and sales engineers teams to define market opportunity and requirements
Work closely with external users and customers (data scientists, machine learning engineers, business analysts) to pilot and incubate offerings
Design, prototype, and deliver new data science offerings that build upon the industry leading enterprise semantic layer to address the applied AI market and associated machine learning workloads; covering both on-prem and cloud environments
Research technical opportunities based on market gaps and emerging trends

Requirements

BA/BS preferred in a technical or engineering field
1-5+ years combined python engineering and machine learning experience
Proficiency developing in Python and associated toolkits (numpy, pandas, scipy)
Experience in popular machine learning libraries and algorithms (Spark, TensorFlow, XGBoost, Sci-kit learn, linear, regression, tree-based)
Experience with coding in jupyter notebooks
Experience with open source
Experience with REST/JSON based API services
Experience with docker and kubernetes deployment
Experience with CI/CD environments and deployment pipelines
Excellent communication skills with both technical and non-technical audiences, and written

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, H20.ai, Databricks
Strong understanding of data warehouse concepts and working experience with relational databases and cloud data warehouse (Snowflake, Databricks, Redshift, BigQuery, Synapse)
Experience with DevOps workflows like Airflow, MLFlow, Tecton and tools like GitHub
Experience in SaaS delivery
Contributions into open source communities and libraries
Experience with visualization tools like Tableau, PowerBI, and Excel

Join a team of passionate people committed to redefining the way business intelligence and AI is done.

For additional information, visit www.atscale.com

More Information

Salary Offer 0 ~ $3000
Experience Level Junior
Total Years Experience 0-5
Dropdown field Option 1