Data Scientist II
Job Title: Data Scientist II
Location: Cambridge, MA- 02141 (Remote)
Duration: 12 months contract
We are looking for a highly technical AI/ML Engineer or Data Scientist with strong hands-on experience in GenAI/ML modeling and pipeline orchestration. This person should be proficient in Python, experienced in working with cloud and high-performance computing environments, and skilled in developing and deploying production-ready AI/ML solutions using CI/CD practices. The candidate should be collaborative, a strong communicator, and able to simplify technical concepts for non-technical business stakeholders
Day-to-Day Responsibilities
Modeling & Development:
Design and implement AI/ML models using complex datasets.
Work on advanced algorithms including supervised, unsupervised, deep learning, and Generative AI techniques.
Coding & Software Engineering:
Write clean, modular, and production-grade Python code.
Possibly use R or Scala for specific modeling tasks.
Pipeline Orchestration & CI/CD:
Build and manage automated ML pipelines using orchestration tools.
Deploy ML models in a production environment with CI/CD practices.
Cloud & Data Engineering:
Work in cloud or high-performance computing environments like AWS, GCP, Databricks, Spark.
Query and handle structured/unstructured data using SQL/NoSQL and Snowflake.
Collaboration & Communication:
Work in Agile teams focused on building AI products.
Communicate complex technical solutions to non-technical stakeholders using dashboards and visualizations (Tableau, Power BI, Plotly).
Cross-functional Work:
Collaborate with data engineers, product managers, and domain experts.
Understand business problems and translate them into AI solutions.
Job Title: Data Scientist II
Location: Cambridge, MA- 02141 (Remote)
Duration: 12 months contract
We are looking for a highly technical AI/ML Engineer or Data Scientist with strong hands-on experience in GenAI/ML modeling and pipeline orchestration. This person should be proficient in Python, experienced in working with cloud and high-performance computing environments, and skilled in developing and deploying production-ready AI/ML solutions using CI/CD practices. The candidate should be collaborative, a strong communicator, and able to simplify technical concepts for non-technical business stakeholders
Day-to-Day Responsibilities
Modeling & Development:
Design and implement AI/ML models using complex datasets.
Work on advanced algorithms including supervised, unsupervised, deep learning, and Generative AI techniques.
Coding & Software Engineering:
Write clean, modular, and production-grade Python code.
Possibly use R or Scala for specific modeling tasks.
Pipeline Orchestration & CI/CD:
Build and manage automated ML pipelines using orchestration tools.
Deploy ML models in a production environment with CI/CD practices.
Cloud & Data Engineering:
Work in cloud or high-performance computing environments like AWS, GCP, Databricks, Spark.
Query and handle structured/unstructured data using SQL/NoSQL and Snowflake.
Collaboration & Communication:
Work in Agile teams focused on building AI products.
Communicate complex technical solutions to non-technical stakeholders using dashboards and visualizations (Tableau, Power BI, Plotly).
Cross-functional Work:
Collaborate with data engineers, product managers, and domain experts.
Understand business problems and translate them into AI solutions.
