Energy Job Search · 6 hours ago
Data Scientist
Houston, TX
Full-time
Onsite
Entry, Mid Level
2+ years expEnergy Job Search is seeking a Data Scientist to join their Data and Analytics team. The role involves collaborating with business stakeholders to solve real business problems through data analysis and the development of analytic solutions.
Staffing & Recruiting
Responsibilities
Collaborate with business stakeholders to understand business problems, formulate requirements and rationalize analytical approaches to solve them
Develop a firm understanding of specific business processes and real-world workflows, which may include manufacturing, supply chain, accounting and other related functions
Clean, process and wrangle raw data into usable formats for analysis and modeling
Conduct exploratory data analysis to identify trends, patterns, and insights from complex datasets
Perform statistical analysis and hypothesis testing to validate data-driven hypotheses
Assist in the development and implementation of machine learning models for predictive and prescriptive analytics
Collaborate with Senior Data Scientists to refine and optimize existing models
Contribute to feature engineering efforts to enhance the predictive power of machine learning models
Explore and experiment with different feature selection techniques
Work closely with cross-functional teams including domain experts, business analysts, data engineers and software engineers
Communicate findings and insights to non-technical stakeholders in a clear and understandable manner
Utilize programming languages such as SQL, Python for data manipulation, analysis and model development
Qualification
Required
Bachelor's degree in a quantitative discipline (e.g., Business Analytics, Computer Science, Data Science, Economics, Industrial Engineering, Math, Statistics or related field)
Two or more years of relevant work experience, mining data as a data analyst or scientist or in a business role with a heavy focus on analytics or statistics
Strong analytical, quantitative, and problem-solving skills
Proven ability to communicate complex or technical concepts clearly to both technical and non-technical audiences
Programming experience with SQL and Python is a must; additional programming experience with PySpark is a plus
Modeling experience with core data science packages (Pandas, Scikit-learn, Keras, TensorFlow, etc)
Experience with core visualization packages (Matplotlib, Seaborn, Plotly, etc)
Modeling experience with traditional machine learning and deep learning techniques
Ability to work independently, exercise initiative, and follow through to accomplish tasks
Ability to manage adjusting priorities and work on multiple projects simultaneously while addressing ad hoc data requests
Preferred
Familiarity with manufacturing daily operations and related data sources, including ERP systems and related table structures
Experience with productizing machine learning models within a cloud service (e.g. AWS, Azure) and data science environments (e.g. Databricks)
Company
Energy Job Search
Join 3,000,000+ energy professionals who trust us to power their careers.
201-500 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase