
Data Scientist, Consultant – Utilities
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Georgia.
• Conduct data analysis and assist in the creation of analytical solutions utilizing Python, R, SQL, Databricks, Power BI, GIS, and other contemporary analytics platforms.
• Collaborate with project team members and subject matter experts to grasp client business requirements, analytical goals, and technical specifications.
• Aid in the design, development, testing, and deployment of data, analytics, and AI-driven solutions for utility clients.
• Create and sustain analytical workflows, datasets, dashboards, visualizations, and various decision-support tools.
• Examine data, identify trends and insights, and contribute to conclusions and recommendations for both technical and non-technical audiences.
• Ensure the production of high-quality client deliverables while working alongside multidisciplinary project teams.
• A bachelor’s degree from a recognized university.
• A minimum of 0-2 years of overall professional experience.
• Preferred experience in leveraging data analytics, business intelligence, data science, or similar quantitative methodologies.
• Familiarity with one or more analytical or data management tools such as Python, SQL, R, Databricks, Power BI, Tableau, GIS, or equivalent technologies.
• Experience in analyzing datasets and employing quantitative techniques to derive insights, resolve issues, or aid in decision-making.
• Strong analytical and problem-solving abilities, with a keen attention to detail and a readiness to acquire new tools, technologies, and business knowledge.
• US Citizenship is contractually mandated.
• Experience or a demonstrated interest in electric, gas, water, or other energy-sector organizations and their challenges.
• Excellent written and verbal communication skills, including the capacity to articulate analytical concepts and findings clearly.
• Ability to manage multiple assignments effectively while collaborating with project teams and stakeholders.
• Familiarity with cloud-based analytics platforms, data engineering, AI, machine learning, geospatial analytics, or optimization techniques.
• Experience in developing dashboards, visualizations, analytical models, data products, or decision-support tools through professional, academic, or personal projects.
• Relevant coursework, certifications, or advanced education in analytics, cloud technologies, data engineering, or related fields.
• Medical, Rx, Dental & Vision Insurance.
• Personal and Family Sick Time & Company Paid Holidays.
• Position may qualify for a discretionary variable incentive bonus.
• Parental Leave and Adoption Assistance.
• 401(k) Retirement Plan.
• Basic Life & Supplemental Life Insurance.
• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts.
• Short-Term & Long-Term Disability Insurance.
• Student Loan PayDown program.
• Tuition Reimbursement, Personal Development & Learning Opportunities.
• Skills Development & Certifications.
• Employee Referral Program.
• Corporate Sponsored Events & Community Outreach.
• Emergency Back-Up Childcare Program.
• Mobility Stipend.
• Flexible benefits package.
• Flexible work arrangements.
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