Energy

Data Scientist

Contract

Strategic Staffing Solutions

Strategic Staffing Solutions is looking for a Data Scientist in Houston, TX.

We are currently seeking a forward-thinking Data Scientist to join our team. This role involves contributing to a variety of projects that require deep analytical expertise and a creative approach to problem-solving.

Key Responsibilities:

Develop, refine, and implement complex data models to drive understanding, prediction, and actionable insights across multiple business areas. Lead strategic projects by providing expert analysis and insights to influence decision-making and achieve project goals. Collaborate with cross-functional teams to understand data requirements and deliver tailored analytical solutions that meet business needs. Employ cutting-edge data science techniques and algorithms to address challenging business problems and foster innovation. Communicate complex data-driven insights to stakeholders across the organization in a clear and impactful manner, ensuring actionable understanding. Continually seek opportunities to enhance process efficiency and effectiveness through innovative data-driven solutions. Maintain a commitment to high-quality, impactful work, meeting project timelines and objectives.

Qualifications:

Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field. Strong foundation (3-5 years of experience) in data science, data analysis, modeling, and programming, with proficiency in Python and data visualization tools like Power BI. Demonstrated expertise in developing, scaling, and implementing Generative AI models. Demonstrated ability to develop innovative solutions and apply statistical and machine learning methods to diverse datasets. Excellent analytical, problem-solving, and communication skills, with the ability to work collaboratively in a team environment. Experience in conducting code reviews and maintaining high-quality coding standards in an enterprise environment.

Job ID: JOB-234575
Publish Date: 25 Mar 2024

Tagged as: Data Scientist