job summary: Description: Please read the must haves carefully. This should be a data scientist who has experience with products/services- making business recommendations from data. Someone from a financial background will likely not be the right fit. Candidate will need to be able to communicate with nontechnical stakeholders. List of best must haves for this role: 1. Excellent communications skills able to work with non-technical businesses to understand their processes and translating that to advanced analytics to determine customer segmentation, clustering, and finding the next best customer/propensity scoring for target marketing purposes. 2. Ability to work with reporting tools (Power BI/SAS VA/PowerPoint) to create stories with visuals for businesses to consume (related to the above) - market insights/next best customer/etc. 3. Can handle multiple Lines of Business Requests at the same time. 4. Understands coding languages: We use SAS, SQL. Python (multi-language skills an additional plus) ***SAS is a must have 5. Experience with Advanced Analytics platforms, including Enterprise SAS and SAS Viya with AWS (future state) 6. A key focus on market basket sizing, clustering, and propensity scoring of next best customers. 7. Ability to work well with others, including professionalism to intake requirements at the Senior VP and Director levels down to Program Managers deploying programs 8. Our team manages its work with JIRA - exposure to project management styled delivery to businesses is a plus (e.g., Kanban and Agile) - we're a mix of both (Scrumban) 9. Charlotte location preferred, 2nd preference would be Raleigh NC. Other Client's office locations would be acceptable. Team is HYBRID 2-3 days a week. Client's Pricing and Customer Solutions (P&CS) Organization delivers a pipeline of innovative products and customer solutions that create new business opportunities while keeping the customer at the heart of everything we do. The energy sector is constantly evolving, opening up new opportunities for energy providers to expand their offerings and generate additional value. Customer Program Analytics 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. 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, including basket market sizing, clustering, propensity scoring/lead scoring, next best customer for products and services - 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 - Good 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. Working knowledge of AWS a plus. - Good 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. - Good 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. location: Charlotte, North Carolina job type: Contract salary: $46.62 - 56.62 per hour work hours: 8am to 5pm education: Bachelors responsibilities: Partner with Business Clients, establish professional relationship, and communicate with analytics clients in order to understand business needs. Frame Problems with Stakeholder, 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 role 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. qualifications: Experience level: ExperiencedMinimum 5 years of experienceEducation: Bachelors skills: Data ScientistData AnalysisSAS Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).