Data Analyst - Entry Level

Jobsultant Solutions; Atlanta (GA); Remote; USD 60,000 - 75,000; Full time

Job summary

Jobsultant Solutions is seeking an Entry Level Data Analyst to work remotely and contribute to data engineering, modeling and visualization for a global energy industry leader.

The role emphasizes building predictive models, exploring large datasets and leveraging Python, R and ML frameworks. Strong teamwork and communication are essential, with an undergraduate STEM degree required and a Master’s preferred.

Qualifications

• Undergraduate STEM degree required.
• Master's degree in STEM preferred.
• Experience with ML frameworks and cloud platforms (Azure, TensorFlow, Scikit-Learn).
• Experience handling large datasets (terabytes) and data visualization.
• Proficiency in Python, R, and Scala for data science tasks.
• Strong collaborative skills and communication in complex projects.

Responsibilities

• Data engineering, data modeling and model deployment under supervision.
• Analyze large-scale time series and structured/unstructured data from various sources.
• Leverage ML/DL packages to identify patterns and build predictive models.
• Perform statistical analysis to identify trends and relationships.
• Stay current with ML/AI advancements and present results with visuals.
• Work with data engineers to design reproducible data pipelines.
• Utilize Azure and Spark for cloud and distributed computing.
• Present results using graphs, charts, tables and dashboards.

Skills

Predictive modeling

Data science

Data analysis

Python

R

Scala

TensorFlow

Keras

Scikit-Learn

Azure

Apache Spark

Teamwork

Communication

Education

Undergraduate STEM degree

Master's degree in STEM (preferred)

Tools

TensorFlow

Keras

Scikit-Learn

Azure

Apache Spark

Job description

About the job 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. Job Description &

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.

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 collaborative in complex engineering projects. Completion of an undergraduate degree in STEM. Master’s degree in STEM is preferred. Candidates having qualifications that exceed the m