Associate Data Scientist (Remote)

Employer Industry: Energy and Technology Services Why Consider This Job Opportunity... • Salary up to $134,561.00 • Flexible workplace arrangements promoting work-life balance • Investment in employee development through tuition reimbursement and access to professional development resources • 401k matching and Employee Stock Purchase Plan • Opportunities for community involvement through donation matching and volunteer opportunities • A fully remote position with requirements to reside in specific states (Arizona, Illinois, or Texas) What To Expect (Job Responsibilities) • Conduct exploratory data analysis, including statistical analysis, hypothesis testing, and statistical inference • Build forecasting and continuous learning models for optimizing smart energy devices in demand response programs • Code robust models using Python to address client challenges and develop internal tools • Collaborate with data engineering and visualization teams for delivering client projects • Develop cloud-based tools and processes to scale data analysis What Is Required (Qualifications) • Bachelor’s degree in data science, statistics, computer science, management information systems, or a related field • 2+ years of experience in a data science role (master’s degree can substitute for experience) • Proficiency in open-source data science languages, particularly Python • Familiarity with Python data science libraries such as Pandas, NumPy, and Matplotlib • Excellent oral and written communication skills How To Stand Out (Preferred Qualifications) • Master’s degree in data science, statistics, computer science, management information systems, or a related field • A portfolio of Data Science/ML projects available for review • Knowledge of geospatial data processing and experience with GIS software (e.g., QGIS) and libraries (e.g., geopandas) • Experience with Azure, especially Azure Databricks for data processing and machine learning • Experience writing complex SQL queries and using git #EnergyIndustry #DataScience #RemoteWork #CareerGrowth #WorkLifeBalance At Talentify, we prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. Talentify is not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer. Talentify helps candidates around the world to discover and stay focused on the jobs they want until they can complete a full application in the hiring company career page/ATS Apply Job!