Brooksource
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Data Scientist
Charlotte, NC
Must work on Brooksource’s W2
Brooksource is searching for a Data Scientist with 3-5 years of relevant experience to join our Fortune 500 Energy & Utilities client’s Pricing and Customer Solutions (P&CS) organization, specifically supporting its Business Intelligence team.
This group delivers a pipeline of innovative products and customer solutions that create new business opportunities while keeping the customer at the heart of everything they do. The energy sector is constantly evolving, opening up new opportunities for energy providers to expand their offerings and generate additional value.
The Business Intelligence Team within P&CS collaborates across business lines to build expertise and deliver reporting and analytic solutions that drive value for the business and our customers. The incumbent will provide business intelligence reporting and data analytics, facilitate business analytics platform enhancements, and participate on a team of data science consultants. This position core focus will be to:
- Serve as an expert in translating complex data into key strategy insights and valuable actions.
- Discover business narratives told by the data and present them to other scientists, business stakeholders, and managers at various levels.
- Develop and test heuristics
- Create, train, test, run and refine models
- Perform data exploration and data mining
- Create business intelligence, dashboards, visualizations, and/or other advanced analytics reports to adequately tell the business narrative and offer recommendations that are practiced, actionable, and have material impact, in addition to being well-supported by analytical models and data.
Responsibilities:
· Partner with Business Clients, establish professional relationships, and communicate with analytics clients in order to understand business needs
· Frame Problems with Stakeholders, research and construct problem frames in order to understand the analysis context and scope that will provide timely, useful results
· Work in Project Teams and participate in multidisciplinary analytics project teams
· Interview Subject Matter Experts, plan and conduct individual interviews with experts to gain valid information and data needed for analysis
· Communicate results to Decision Makers, explain the results and conclusions of the analytics process in both written, visual, and oral presentation formats
· Create recommendations that are practical, actionable, and have material impact, in addition to being well-supported by analytical models and data
This individual will also:
- Identify unique opportunities to collect new data.
- Design new processes and build large, complex data sets.
- Strategize new uses for data and its interaction with data design.
- Locate new data sources, analyze statistics and implement quality procedures.
- Perform data studies of new and diverse data sources.
- Find new uses for existing data sources.
- Conduct statistical modeling and experiment design.
- Develop, test, validate and refine predictive models to optimize customer experiences, revenue generation, operational effectiveness, marketing success and other business outcomes.
- Build web prototypes and performs data visualization.
- Conduct scalable data research on and off the cloud.
- Implement automated processes for efficiently producing scale models.
- Design, modify and build new data processes.
- Generate algorithms and create computer models.
- Collaborate with database engineers, architects and other scientists.
- Implement new or enhanced processes to access and handle data more efficiently.
- Train the data services center team on new or updated procedures.
Basic/Required Qualifications
- Graduation from a four-year college or university with a degree in statistics, physics, mathematics, engineering, computer science, or management of information systems.
- 3-5 Years of prior equivalent work-related experience in addition to a degree
- Working knowledge of statistics, programming and predictive modeling.
- Working knowledge of code writing
- Working knowledge of business intelligence reporting tools: Power BI
- Understanding of SQL Server, SAP Hana, Analysis Services, Flat File, and other data sources
Desired Qualifications
- Strong critical thinking skills and the ability to relate them to the products or services the company is producing.
- Understanding of and ability to use programming languages like SAS, Python and SQL (Structured Query Language)
- Understanding of and ability to use Enterprise SAS and AWS
- Strong knowledge of basic and advanced marketing and financial based prediction models (e.g., clustering, propensity, forecasting)
- Data mining knowledge that spans a range of disciplines.
- Strong exploratory analysis skills.
- Excellent verbal and written communication skills as well as the ability to bridge the gap between data science and business management.
- Exceptional organizational skills and is detail oriented.
- Competency in statistics, machine learning, algorithms and advanced mathematics.
Brooksource provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.
JO-2304-134660