Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals.
Identify and apply best analytical techniques to achieve business objectives.
Design, develop, and deploy advanced analytics solutions, including predictive and prescriptive outputs, insights, and visualizations to enable business users to make better data-driven decisions.
Execute analytic activities supporting solution development, including data gathering, cleansing, and integration, statistical transformation and modeling, and feature engineering and selection.
Develop deep understanding of internal and external data.
Create appropriate standards and processes to ensure quality and consistency solutions.
Direct activities of associate/senior data scientists, third-party contractors, and consultants for specific business projects.
Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.
Maintain professional and technical knowledge by attending educational workshops, professional publications, establishing personal networks, and participating in professional societies.
Contribute to the team effort by accomplishing related results and participating on projects as needed.
Experience:
5+ years of relevant work experience
Expert knowledge of statistics and machine learning methods, including regression, classification, time series analysis, clustering, simulation, dimension reduction
Demonstrated aptitude distilling complex business problems into clear data science and advanced analytics models and solutions that can and will be adopted and implemented
Ability to effectively lead projects from conception to conclusion, both independently and in a team environment (including working with both internal and external business partners)
Expertise developing and applying machine learning algorithms
Strong verbal and written communication and presentation skills, with the ability to translate complex concepts into actionable business insights
Proficient in Python, R, SQL
Experience working with data science tools (e.g., Databricks); distributed compute; manipulating, analyzing, and interpreting large-scale data; and scaling analytics in the cloud (e.g., Azure)
Proven track record of leading projects and cross-functional teams
Strong problem-solving and analytical thinking skills
Education/Certifications:
Master's degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study
Preferred Experience:
Experience working with Agile methodologies
Experience using data visualization tools (e.g., Power BI)
Experience with IOT, software-defined customer experiences, private equity backed companies