PC
Data Scientist
Paladin Consulting, Inc.
🇺🇸 United States
On-site
1 month ago
- Machine Learning
- Databricks
- AI
- SQL
- Git
- Data Modeling
- Python
- PySpark
- Data Visualization
- Tableau
- AWS Glue
- Pigment
1 month ago
Work Location: The Woodlands (onsite)
Education/Experience Required: Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; 3-8 years of relevant industry work experience in Data Science
Job Description:
- Our client is looking for an intelligent, proactive, and results-driven Data Scientist to join our team. In this role, you'll work closely with the Financial Planning, Analysis & Performance Optimization Department and partner directly with IT to transform raw data into actionable strategies.
- With minimal travel required, you'll focus on leveraging advanced analytics to optimize processes, improve decision-making, and deliver measurable value.
- If you're a go-getter with a passion for solving complex problems using cutting-edge tools, we want to hear from you!
- Data Analysis & Insights
- Analyze large datasets to identify trends, inefficiencies, and opportunities for performance improvement.
- Provide actionable recommendations to optimize operational and financial performance.
- Model Development & Deployment
- Develop and deploy predictive models and machine learning algorithms to support business objectives.
- Leverage advanced analytics platforms, such as Databricks, for scalable data processing.
- Data Integration
- Collaborate with IT and cross-functional teams to integrate data solutions into existing systems and workflows.
- Reporting & Visualization
- Design and maintain dashboards and reporting insights to stakeholders.
- Data/AI strategy & roadmap
- Identify and develop future AI use cases across the organization, driving innovation and helping shape the company's long-term Data Science and AI strategy
- Stay current with industry trends and emerging technologies to continually enhance our data capabilities
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- 2-4 years of relevant industry work experience in Data Science
- Significant relevant experience building and deploying Data Science solutions. Relevant topics include customer segmentation/clustering, pricing, optimization, and experimentation.
- Deep technical and data science expertise, with demonstrated experience in one or more of the following areas:
- Analytical methods: statistical modeling (e.g., linear regression, GLMs, time series), supervised machine learning (e.g., random forests), design of experiments, segmentation/clustering methods, mixed-integer linear optimization
- Analytics tools: Data wrangling (e.g. SQL), Versioning (e.g. Git), Data Modeling (e.g. python), Data processing frameworks (e.g. Spark/PySpark), Data visualization (e.g. Tableau)
- Data management environments: Analytics platforms (e.g. Databricks), data pipeline development (e.g. AWS Glue) a plus.
- Experience building in-production models, including associated scripting, error handling and documentation
- Proven ability to drive P&L impact through analytics
- Exceptional problem-solving skills and a proactive, self-starter mindset.
- Ability to communicate complex technical concepts to non-technical stakeholders.
- Strong collaboration skills to work effectively with IT and other departments.
- Bonus: Familiarity with Pigment or similar business planning tools.
Paladin Consulting is an EEOC employer.
Data Scientist · Paladin Consulting, Inc.