Scientist Jobs

About The Position

Requirements

• BS in engineering from ABET accredited institution or Bachelor of Science degree in data science or related field, or two years of relevant experience in lieu of a degree.
• Two or more years of relevant experience in data science or related technical activities.
• Ability to travel as determined by the needs of the business
• Ability to work remote, hybrid, or on-site as directed by management and is determined by the needs of the business
• Regular and reliable attendance is an essential function of this job
• United States Citizenship
• Ability to obtain and maintain a U.S. Department of Energy (DOE) security clearance (some positions require additional DOE designations)

Nice To Haves

• Working knowledge of statistics, statistical modeling, and statistical process control.
• Practiced using scripting and querying languages such as Python, R, SQL, and others.
• Effective communication skills (verbal, written, and presentation) for interacting with customers and peers.
• User experience mindset, including the production of visualizations and infographics to distill complex information.
• Experience producing analytics data visualizations, preferably using Tableau, MicroStrategy, or equivalent.
• Experience working with Hadoop, Hive, Apache Spark, etc.
• Experience with machine learning, neural networks, deep learning.
• Experience using open-source data analytics and machine learning tools along with other cloud-based platforms.

Responsibilities

• Lead and support moderate to highly complex data science and analytics projects in support of process improvement, defect reduction, and predictive analytics for manufacturing and business applications.
• Independently develop solutions using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control, and maintaining documentation of created applications.
• Work and communicate directly with key stakeholders to develop requirements and provide technical solutions through an analysis of manufacturing/business needs and pain points.
• Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows.
• Contribute to the production of information products, supporting visualization and data accessibility in a customer centric manner.
• Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety.
• Develop and implement machine learning models to inform business needs and decisions.
• Perform data processing and transformation to targeted audience.

Benefits

• Medical, dental and vision insurance
• Health Savings Account (HSA)
• Industry leading 401(k) match
• Generous paid time off
• Flexible work schedule
• Tuition Reimbursement
• Professional Certification & License Programs
• Mission driven culture