Title: Data Scientist
Location: Houston, TX (Onsite)
Job type: Long term Contract
Job summary :
Client is looking for a Data Scientist to develop and apply models and statistical analysis within our enterprise data science group. This individual will work within a functionally organized Enterprise Data & Analytics group with support from IT, Data Engineering and Governance, Business Intelligence, and Product Management. Its scope encompasses electricity and gas contracts, smart home products, plant operations, trading, and energy services. The role will report to data science lead and will work on cross-functional project teams to deliver repeatable and scalable data solutions to drive value for the organization. This will require both an understanding of the intersection between business economics and the use of algorithms
to make or aid business decisions.
Essential Duties/Responsibilities:
• Understanding of machine learning and deep learning models to select and implement for prediction, classification, and clustering projects
• Apply machine learning or reinforcement learning to optimize marketing efforts with respect to customer acquisition, retention, pricing, cross-selling, operations and trading
• Passion to learn latest AI techniques and explore applications for large language models
• Understanding of the business context of projects and able to identify areas where models will be less predictive or have caveats to their predictive powers
• Ability to translate complex business issues into achievable analytical learning objectives and actionable analytic projects
• Ability to communicate and establish good relations with multi-disciplinary teams
• Proficiency with Python, including pandas, scikit-learn
• Experience in Spark or Pyspark
Minimum Requirements:
• Bachelor’s degree in a quantitative field, such as Statistics, Mathematics, Computer Science, Economics, Engineering, or Operations Research required.
• 2+ years of experience in statistical modeling and quantitative analysis in industry or full-time academic research
Preferred Qualifications:
• Advanced Degree (MS or PhD) in Statistics, Mathematics or Quantitative Marketing with a focus on machine learning is strongly preferred.
Additional Knowledge, Skills and Abilities:
• Experience with Databricks
• Experience with AWS SageMaker
• Experience with Azure AI Studio
• Retail electricity or gas experience
• Comfortable working in Linux
• Experience with Git
• Experience with Docker containers
• Ability to learn and apply new quantitative techniques quickly and appropriately
• Ability to interpret and communicate complex analytics results
Responsibilities :
- Lead the design and implementation of solutions using advanced technologies.
- Oversee the integration of Dockers & Containers to streamline deployment processes.
- Provide expertise in GIT for version control and collaborative development.
- Utilize Linux for system administration and optimization of applications.
- Implement Azure AI solutions to enhance data analysis and insights.
- Leverage AWS services to build scalable and efficient systems.
- Utilize Databricks for big data processing and advanced analytics.
- Apply Data Science techniques to extract meaningful insights from data.
- Collaborate with cross-functional teams to ensure seamless integration of solutions.
- Ensure the security and integrity of data through best practices.
- Develop and maintain documentation for all projects and processes.
- Mentor junior engineers and provide guidance on best practices and technical solutions.
- Continuously evaluate and adopt new technologies to improve geospatial capabilities.
-Qualifications
- Possess a strong background in Dockers & Containers for efficient application deployment.
- Demonstrate proficiency in GIT for effective version control and collaboration.
- Have extensive experience with Linux for system administration and optimization.
- Show expertise in Azure AI for advanced data analysis and insights.
- Be skilled in AWS services for building scalable geospatial systems.
- Have hands-on experience with Databricks for big data processing.
- Apply Data Science techniques to derive insights from complex geospatial data.
- Exhibit strong problem-solving skills and attention to detail.
- Possess excellent communication and collaboration abilities.
- Have a proven track record of leading successful geospatial projects.
- Be committed to continuous learning and staying updated with industry trends.
- Demonstrate the ability to mentor and guide junior team members.
- Show a passion for leveraging technology to drive impactful solutions.
Certifications Required :Certified Kubernetes Administrator (CKA), Microsoft Certified: Azure AI Engineer Associate, AWS Certified Solutions Architect, Databricks Certified Data Engineer Associate
