Responsibilities:
Lead data science projects from inception to deployment, working closely with business stakeholders.Work with internal and external stakeholders to translate business concepts into data deliverables.Develop predictive models, recommendation systems, and other advanced data-driven solutions.Stay abreast of industry trends, recommending and implementing emerging data science technologies to address business needs.Propose and test AI/ML capabilities to solve use cases prioritized by stakeholders.Communicate results to both technical and non-technical stakeholders frequently, regular engagement directly with the customer. Develop and take lead on use cases. Transform business issues into clearly defined analytics problems through questions, research and requirements analysis. Mentor both Data Analyst and Data Scientist I on technical projects and ensure quality production of labeled and modeled data for specific platforms. Performs other tasks as assigned.
Education, Experience and KSAs:
Graduate degree in a quantitative field (Computer Science, Mathematics, Applied Science, Economics, Engineering etc.) with a minimum of 7 years of relevant experience, or equivalent combination of education and experience. Internal candidates – additional expectation of mastery of Data Scientist II expectations.Possess a working level knowledge of an analytic platform and/or coding language where the application of basic statistical principles is paramount. Analytic platforms include Microsoft Excel/Power BI, Tableau, or JMP but are not limited to those.Proficient in programming language (Python and/or R, preferred) for statistical analysis, common data science libraries, independent research of technical topics, and analytical skills as it relates to regression and clustering algorithms. Proven track record of delivering data-driven solutions to complex business problems.Strong leadership skills and experience in guiding and mentoring junior team members.Excellent communication and presentation abilities for technical and non-technical audiencesUnderstand and demonstrate foundational natural language processing (NLP) skillset. Practical experience in machine learning, statistical analysis, and data modeling.Hands-on experience with data manipulation and cleaning.Ability to thrive in a fast-paced ever-changing environment while successfully managing the day-to-day responsibilities of the role and department. Ability to plan, execute and deliver on projects in a timely manner, with the added ability to multi-task on varying projects and initiatives. Willing to take initiative and work independently when needed as well as successfully and effectively lead a team to meet department and corporate objectives. Demonstrated capacity to work with a variety of workstyles and personalities with a focus on high professional standards, strong follow-up, and successful project execution. Proficient computer skills, including experience with MS Office software suite.Problem solving—the individual identifies and resolves problems in a timely manner and gathers and analyzes information skillfully. Interpersonal Skills—the individual maintains confidentiality, remains open to others’ ideas, and exhibits willingness to try new things. Oral communication—the individual speaks clearly and persuasively in positive or negative situations, demonstrates group presentation skills, and conducts meetings. Written Communication—the individual edits work for spelling and grammar, presents numerical data effectively and able read and interpret written information. Planning/organizing—the individual prioritizes and plans work activities, uses time efficiently and develops realistic action plans. Attention to Detail—the individual demonstrates accuracy and thoroughness and monitors own work to ensure quality. Adaptability—the individual adapts to changes in the work environment, manages competing demands and able deal with frequent change, delays, or unexpected events. Dependability—the individual is consistently at work and on time, follows instructions, responds to management direction, and solicits feedback to improve performance.Must be able to satisfactorily pass a pre-employment background investigation.May be required to pass a client-initiated background check prior to gaining access to client computer workstations, work locations, and other confidential information. Uphold the Redhorse values of integrity, employee empowerment, accountability, customer centric, teamwork and common sense.