Data Scientist

Simple Staffing • North Las Vegas, NV

8h

About The Position

Proactive Data Scientist to design, develop, maintain, and document data analysis services and products related to electronic metabolic measurement instruments in collaboration with a team of multidisciplinary engineers.
Principal Duties and Responsibilities:
New Product Development Activities such as:
Develop, add features to, and release data analysis tools (macro collections, scripts, and software applications) for customer and in-house use.
Define and implement new data analysis product offerings in collaboration with Product Management.
Test and validate new analytical tools and/or products.
Assist Customer Support and Marketing teams with data analysis and visualization in response to customer needs.
Sustaining Activities such as:
Maintain a library of existing data analysis tools (macro collections and scripts) for customer and in-house use.
Manage versions and fix bugs in existing data analysis tools (macros) and analysis software applications.
Test and validate existing analytical tools and/or products.
Research Activities such as:
Design and perform experiments to gather data.
Perform exploratory data analysis on biological and other data.
Perform hypothesis-driven data analysis for product development experiments (e.g., sensor comparison and evaluation, sensitivity analyses)
Teach data science and analysis topics as part of a team in our in-house customer training courses or as ad-hoc staff training.
Participate and provide feedback in product design review meetings.
Write and/or review functional specifications for technical content and accuracy.
Other duties as assigned.

Requirements

• Proactive and high initiative style. Willing to speak out to provide feedback and propose alternatives.
• Proficient in R ,Python, C# and VB .NET software languages.
• Proficient in Statistics.
• Proficient in Time Series Analysis.
• Experience with version control systems – git and subversion.
• Proficient in Data visualization.
• Proven technical writing and documentation skills.
• Able to interpret Test Data and Specifications.
• Demonstrated ability to take ownership of task execution and generate results with minimal supervision.
• Demonstrated ability to work in a team-based environment and collaborate effectively with others.
• Capable of effective time management and prioritization and making progress on multiple concurrent tasks.
• Comfortable with ambiguous project/task definition and able to propose alternative solutions to technical problems.
• Ability to manage frequent change, delays, or unexpected events.
• Proficient in use of Microsoft Excel, Word, PowerPoint, and Outlook software.
• Effective communicator, both orally and in writing.
• B.S. degree in Data Science/Computational Biology with 3 years of work experience, or M.S./Ph.D. in Data Science/Computational Biology.

Nice To Haves

• Proficient in Signal Processing.
• Experience or knowledge of Machine Learning concepts and techniques.
• Experience with managing and merging numerous software main/release/feature branches.
• Proficient in microcontroller firmware design and development using a wide array of different microcontrollers and tool chains.

Responsibilities

• Develop, add features to, and release data analysis tools (macro collections, scripts, and software applications) for customer and in-house use.
• Define and implement new data analysis product offerings in collaboration with Product Management.
• Test and validate new analytical tools and/or products.
• Assist Customer Support and Marketing teams with data analysis and visualization in response to customer needs.
• Maintain a library of existing data analysis tools (macro collections and scripts) for customer and in-house use.
• Manage versions and fix bugs in existing data analysis tools (macros) and analysis software applications.
• Test and validate existing analytical tools and/or products.
• Design and perform experiments to gather data.
• Perform exploratory data analysis on biological and other data.
• Perform hypothesis-driven data analysis for product development experiments (e.g., sensor comparison and evaluation, sensitivity analyses)
• Teach data science and analysis topics as part of a team in our in-house customer training courses or as ad-hoc staff training.
• Participate and provide feedback in product design review meetings.
• Write and/or review functional specifications for technical content and accuracy.
• Other duties as assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees