Data Analyst - Entry Level (Remote)

Position Overview

Data Analyst - Entry Level (Remote)

We are looking for the right people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry.

Equal Opportunities:Optimere is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Optimere does not make hiring or employment decisions on the basis of 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.PLEASE NOTE:Optimere is unable to sponsor visas at this time. You must be aUS CitizenorPermanent Residentauthorized to work in the US.

Key Responsibilities

• Data Scientist under general supervision will perform data engineering, data modeling and model deployment.
• Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights.
• Leverage common open-source Machine Learning/Deep Learning packages for identifying data patterns and/or building predictive models.
• Conduct statistical analysis to determine trends and significant data relationships.
• Keep up to date with latest Machine Learning and Artificial Intelligence advancements.
• Work with data engineers to design and construct data pipelines for reproducible analysis.
• Leverage cloud computing technologies like Microsoft Azure and distributed computing technologies like Apache Spark.
• Present results of analyses, including design of graphs, charts, tables, and other data visualizations.

Required Qualifications

• Industry experience in predictive modeling, data science and analysis.
• Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn and cloud computing platforms like Azure.
• Experience handling terabyte size datasets, diving into data to discover hidden patterns and using data visualization tools.
• Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.
• Demonstrated teamwork, strong communication skills, and collaboration in complex engineering projects.
• Completion of an undergraduate degree in STEM.

Preferred Qualifications

• Master's degree in STEM is preferred.
• Candidates with qualifications exceeding the minimum job requirements will receive consideration for higher level roles based on experience, additional job requirements, and/or business needs.