Data Scientist / Manager
MMI Textiles, Inc.
Data Scientist / ManagerLooking for an innovative organization and the opportunity to learn and grow professionally? We can help! We are seeking a Data Scientist / Manager to support the United States Department of Agriculture (USDA) Forest Service in North Carolina.At Terrestris, we leverage technology to create better mission outcomes through better human performance. We form strong client and team relationships through transparency and strive to create an environment where our team can let their excellence shine through. By finding, developing, and incorporating new ideas, we provide memorable services. Rooted in the USMC values of honor, courage, and commitment, Terrestris seeks to deliver extraordinary value to the American people by helping the Government become more efficient and effective.As the Data Scientist / Manager you will be responsible for a wide range of duties including analytics; data input, retrieval and presentation, information gathering and documentation, and implementation of prescribed processes in support of organizational missions. You will further be responsible for performing analytical and evaluative work involving mathematics, statistics, and business knowledge to address workforce or mission issues and generate data-driven solutions in the analysis of FS program operations and decision alternatives. Finally, you will develop models for evaluation and assess data validity and reliability to aid stakeholders in understanding and utilizing analytical reports.A typical day for the Data Scientist / Manager will look like this:Consult with cross-functional teams on the design and conduct of projects or studies to evaluate and resolve complex problems.Advise on the potential of data to provide new insights into the agency's mission.Identify, collect, cleanse, and analyze structured and unstructured data used to support assigned projects or program(s).Explore patterns, correlations, and causations from various systems and datasets to provide a synopsis of emerging trends, challenges, and recommendations for change.Apply data visualization techniques, such as dashboards, scorecards, and graphs, to create solutions that enable enhanced agency performance and decision making.Participate in the preparation and presentation of project briefings to communicate results and recommendations for operational improvements.Manage, input, extract and interpret data using Forest Service asset management software.Perform various routine administrative tasks and interface with multiple resource groups to maintain complete and accurate databases of asset portfolios in accordance with USDA directives.You might be the professional we're looking for if you have:Authorization to work in the U.S. permanently without sponsorship.A Bachelor's Degree with (2) years of relevant experience OR a Master's degree and (1) year of relevant experience OR (10) years of relevant experience, in lieu of an education credential (Relevant Experience is defined as work involving data analytics; data input, retrieval and visualization; programming and automation using Python, R, or similar; and/or applying statistical techniques and machine learning).We are extra impressed by folks with:Familiarity with USDA Forest Service missions, data systems, and land management policies.Knowledge of federal data governance standards (e.g., FAIR data principles, OMB policies).We offer outstanding benefits including health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. Terrestris is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status. Applicants must be authorized to work in the U.S.
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