Principal Technical Data Scientist Jobs

Strong SQL skills are essential; experience writing complex queries spanning multiple tables is

7+ years of experience in IT and data base/data warehouse domain

Working knowledge of performance tuning of database queries (understanding the inner working of the query optimizer, query plans, indexes, partitions etc.).

Experience in writing sqls in Hive, Impala

Exposure to scripting language like shell scripting, python is required.

Position: Tech Data Analyst (DA)

Excellent interpersonal communication skills, with experience preparing scientific documents and delivering scientific presentations, as well as working in team settings

Use extensive knowledge and expertise in mammalian cell culture and assay development to design, conduct, and analyze experiments

Master’s degree with 3-5 years or PhD degree with 0-1 years of relevant experience (academic or industry) needed

Fully responsible for several scientific platforms and technical areas within the mesenchymal cell product portfolio

Serve as an in-house technical expert and scientific resource, responsible for research project planning, timelines, and budget

Facilitate internal collaborations to move a product from research to launch, and participate in interdepartmental communications and collaborations

Demonstrated skills in time management and managing multiple priorities.

Results-oriented, team player with excellent supervisory and communication skills, as well as strong problem-solving abilities

BlueCross Benefits starting on Day 1

Career Development & Education Reimbursement Assistance

Provide education/training to key stakeholders on sanitation principles

Food Safety and Sanitation knowledge and familiar with principles and practices

Project management and prioritization experience; preferably with Data Engineering, Product Management, and Software Engineering teams.

Experience applying your analytics skills to identify and lead projects that have had impact on strategic and product roadmap decisions

Guide demo sessions and education roll out for new data products and features to ensure adoption and usage.

10+ years of experience with a combination of data science, analytics and data engineering experience.

A very high bar for output quality; with experience coaching teams to balance thoughtfulness, perfection and speed.

Experience in at least one visualization tool (e.g. Tableau, R-Shiny, dash, Microstrategy)