About the Company
Optimere is an Equal Employment Opportunity employer that seeks to attract and retain a diverse workforce. The role supports work in the global energy industry, focusing on data science, machine learning, and advanced analytics.
About the Role
Optimere is seeking a Data Analyst – Entry Level (Remote) to support data engineering, statistical analysis, predictive modeling, and machine learning initiatives. Working under general supervision, you will analyze large and complex datasets from multiple sources, identify meaningful patterns, and develop insights that support business and engineering objectives.
The role involves working with structured and unstructured data, applying machine learning and deep learning techniques, and collaborating with data engineers to build reproducible analytical workflows. You will also use cloud and distributed computing technologies to process large datasets and communicate findings through visualizations and reports. Candidates whose qualifications exceed the minimum requirements may be considered for higher-level positions based on experience, additional role requirements, and business needs.
Key Responsibilities
Perform data engineering, data modeling, and model deployment under general supervision.
Analyze large, complex datasets, including time-series, structured, and unstructured data, from various sources to identify actionable insights.
Use open-source machine learning and deep learning packages to identify data patterns and develop predictive models.
Conduct statistical analyses to identify trends and significant relationships within datasets.
Stay informed about developments in machine learning and artificial intelligence.
Collaborate with data engineers to design and build data pipelines that support reproducible analysis.
Use Microsoft Azure and distributed computing technologies such as Apache Spark to process and analyze data.
Present analytical findings through graphs, charts, tables, and other data visualizations.
Work collaboratively on complex engineering projects and communicate analytical results clearly.
Required Qualifications
Industry experience in predictive modeling, data science, and data analysis.
Knowledge of machine learning frameworks and packages, including Keras, TensorFlow, and Scikit-learn.
Knowledge of cloud computing platforms, including Microsoft Azure.
Experience handling terabyte-scale datasets and identifying patterns within complex data.
Experience using data visualization tools to communicate analytical findings.
Programming experience with Python, R, and Scala.
Experience with distributed computing technologies such as Apache Spark.
Strong communication and teamwork skills, including the ability to collaborate on complex engineering projects.
An undergraduate degree in a science, technology, engineering, or mathematics (STEM) field.
Authorization to work in the United States as a U.S. citizen or permanent resident. Optimere is unable to sponsor visas at this time.
Preferred Qualifications / Requirements A master’s degree in a STEM field is preferred.
Qualifications and experience beyond the minimum requirements may support consideration for higher-level positions, depending on additional job requirements and business needs.
Location and Work Arrangement
Work arrangement: Remote.
Industry: Global energy.
Visa sponsorship: Not available. Candidates must be U.S. citizens or permanent residents authorized to work in the United States.
Equal Opportunity / EEO
Optimere is an Equal Employment Opportunity employer committed to building a diverse workforce. The company does not make hiring or employment decisions based on race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, or any other basis protected by applicable law.