Data Scientist - Dallas

Merit Advisors LLC•Dallas, TX

About The Position

Merit Advisors is a team of expert consultants committed to delivering exceptional customer service and adding value to our clients. We do so by crafting holistic solutions that improve cash flow and add profit back to the bottom line for our clients. With a record of accomplishment spanning over 25 years, Merit offers deep experience in the energy industries. We’re looking for a versatile and curious Data Scientist to join our team as our first hire in this function. This is a unique opportunity to shape how data is used across the organization—from driving insights and business decisions to building the foundation for future AI and machine learning initiatives. You’ll start by focusing on analytics, business intelligence, automation, and research, working closely with leadership to uncover insights and tell compelling stories with data. Over time, you’ll help us evolve toward more advanced machine learning and statistical modeling, supported by a strong data infrastructure and engineering team.

Requirements

Proficiency in Python and SQL for data analysis and scripting.
Experience with Power BI or similar BI tools.
Strong analytical thinking and problem-solving skills.
Excellent communication and storytelling abilities.
Ability to work independently and collaboratively in a fast-paced environment.
Growth mindset and willingness to learn new tools and techniques.
Exposure to AWS cloud services.
Bachelor’s degree (B.S.) in Computer Science, Statistics, Mathematics, Data Science, Management Information Systems, and or Engineering, or other equivalent degrees from a top four-year college or university
Minimum 3-5 years of experience is preferred

Nice To Haves

Familiarity with SQL Mesh or similar data orchestration tools.
Familiarity with AI Coding Tools such as Claude Code, Cursor, Windsurf, or similar.
Basic understanding of machine learning concepts (e.g., regression, classification, clustering).
Experience with statistical analysis (e.g., hypothesis testing, A/B testing).
Knowledge of version control (e.g., Git) and collaborative development practices.
Master's is optional

Responsibilities

Partner with executive and business development teams to identify opportunities for data-driven decision-making.
Analyze structured and unstructured data to uncover trends, patterns, and actionable insights.
Build dashboards and reports using tools like Power BI to support business operations and strategy.
Conduct exploratory data analysis and hypothesis testing to support strategic initiatives.
Collaborate with analysts and engineers to ensure data quality and accessibility.
Contribute to the development of predictive models and machine learning solutions as the company’s data maturity grows.
Communicate findings clearly and effectively to both technical and non-technical stakeholders.
Stay current with emerging tools, techniques, and best practices in data science and AI.