What are the responsibilities and job description for the Lead Data Scientist position at NexZen Tek Solutions Inc?
Job Details
Role: Lead Data Scientist Contract Role (Houston, TX Onsite/Hybrid) Employment Type: Long-Term Contract
Location: Houston, TX
Industry: Oil & Gas / Energy
Local candidates preferred
We are currently seeking an experienced Lead Data Scientist to join our Big Data and Advanced Analytics team. You will work closely with the Data Engineering team and cross-functional business units to address real-world challenges using advanced data science and machine learning techniques.
Responsibilities:
- Lead data science projects across various business functions
- Identify and translate business problems into data science solutions
- Cleanse, transform, and analyze large datasets from multiple sources
- Create and maintain predictive models using machine learning techniques
- Build insightful visualizations and dashboards for stakeholders
- Collaborate with engineering teams to productionize models
- Communicate complex findings in a simple and actionable way
- Participate in strategic discussions related to data and analytics
Qualifications:
- 5 years of experience solving data science problems in real-world environments
- Strong background in applied statistics, machine learning, and Python (pandas, scikit-learn)
- 3 years working on NLP and text analytics
- Proficiency in SQL and Python-based visualizations (e.g., Plotly, Matplotlib)
- Experience with Spotfire or Power BI for data visualization
- Familiarity with Google Cloud Platform (Big Query) is a plus
- Domain experience in media/publishing or recommender systems is a plus
- Excellent communication skills and ability to present findings clearly
- Willingness to travel occasionally to Austin, TX
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
