Job Description
Do you have the desire to play a critical role in driving data-based business outcomes? Our Analytic Scientists are responsible for modeling complex problems, discovering insights and identifying business opportunities using scientific research methods, statistics, machine learning, and data visualization techniques. They participate in all phases of the analytic lifecycle, from research design, data collection and data processing to model building, deployment, and presentation of results. We value a dedication to lifelong learning and strong quantitative judgment. If you are a methodological generalist who is adept at applying your technical skill set to a wide range of business applications, we want to know more about you!
As a Senior Consultant, you'll work directly with business partners to define project scopes and build solutions. Well count on you to structure and lead large, complex analyses across one or more areas and effectively synthesize analytic results to improve business outcomes. Youll build lasting relationships and help business leaders navigate complex, competing objectives. Youll be a subject matter authority, in both analytical and business applications, and will communicate effectively with technical and non-technical audiences. Your proficiency with advanced statistical and machine learning techniques will help you direct the application of these techniques to solve complex problems.
Required Skills & Experience
Key Responsibilities:
Leads large projects of broad scope and business impact that involve the design, development, implementation, and monitoring of statistical and machine learning models.
Consults with business partners to understand, define, and deliver work that meets their needs and delivers timely results.
Effectively integrates internal and external research findings to generate hypotheses and help business partners make informed decisions.
Applies knowledge of advanced quantitative techniques to analyze any given data structure.
Builds predictive and explanatory models to generate impactful insights and practical solutions to business problems.
Crafts deliverables that provide clear and concise summaries of findings and recommendations using impactful storylines and data visualization geared to both technical and non-technical audiences.
Upholds a high standard for methodological rigor, sound statistical inference, and robust model validation.
Designs and guides the research and application of modeling methodology.
Collaborates with multiple departments or business functions to accomplish management goals, objectives, and tasks.
Education: Preferred graduate studies in statistics, engineering, math, quantitative social science fields, or related areas. Proven experience building and deploying machine learning and/or statistical models or executing quantitative research studies may be considered in lieu of formal education.
Experience: Typically, seven or more years of related work experience in a relevant field.
Knowledge, Abilities and Skills:
Quantitative judgment: Proven experience building and deploying machine learning and/or statistical models. Research Methods: Knowledge of multiple quantitative research and analysis approaches and their tradeoffs. Programming ability: Python, R, SQL, or any other transferrable language (MATLAB, Java, etc.) Strong project management skills and the ability to handle multiple large projects simultaneously. Advanced written and verbal communication skills with the ability to communicate technical concepts to different level audiences with varying technical knowledge. Solicits and objectively considers input from appropriate sources. Considers implications of actions on other areas, people, and processes when making a decision. Passion, inquisitiveness, creativity, self-starters, and team builders.
Other criteria, including leadership skills, competencies and experiences may take precedence.
Staffing exceptions to the above must be approved by the Vice President and HR Vice President.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.