Benefits/Perks

Competitive Compensation
Flexible Scheduling
Career Growth Opportunities

Job Summary

We are seeking a detail-oriented Data Scientist to join our team. As a Data Scientist, you will analyze large amounts of raw data to discover patterns and insights that will help to improve our company. We will rely on you to collect and analyze data, build models, and present your findings in an easy-to-understand manner. The ideal candidate has an analytical mind and a passion for data.

Responsibilities

Analyze large amounts of raw data to discover trends and patterns
Discover valuable business insights and propose new approaches to challenges
Automate the data collection process
Identify valuable data sources
Present information in an easily digestible format
Collaborate with other teams within the organization
Plans, conducts, and supervises subtasks on a project-by-project basis, working to meet completion dates.
May provide direct assistance, review progress, and evaluate results of junior staff and make changes in methods or project design where necessary.
These individuals make independent technical decisions, seeking advice from management as needed.
Possesses knowledge, skills, and abilities to conduct their primary assigned tasks such as evaluating analytical instrument (e.g., GC, GC/MS, GC/HRMS, HPLC, ICP/AES, ICP/MS) outputs, reviews and verifies environmental laboratory data for accuracy, completeness, and compliance with quality standards and regulatory guidelines.
Key responsibilities include performing data validation, writing validation reports, using databases to manage data, checking quality control results, and communicating with project teams and laboratories.

Qualifications

A bachelor’s degree in Chemistry, Biology, or Environmental Science
Strong understanding of data collection and analysis
Strong troubleshooting and analytical skills
Ability to work well as part of a team
Strong written and verbal communication skills
Minimum of 6 years of experience

Flexible work from home options available.

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