CornerStone Technology Talent Services (TTS) is seeking a talented Data Science/Predictive Modeling Analyst for a long-term opportunity in the Plano, TX area. This hybrid role is ideal for candidates with strong technical expertise, analytical problem-solving abilities, and a passion for leveraging data to drive impactful business decisions.
The successful candidate will work at the intersection of data science, predictive modeling, and business analysis, contributing to innovative projects that shape the future of analytics-driven decision-making.
Key Responsibilities
Data Preparation: Extract, manipulate, and clean data from diverse sources using SQL and Python, ensuring datasets are optimized for analysis and model development.
Predictive Modeling: Design and implement sophisticated statistical and machine learning models, applying methods such as:
Logistic Regression
Time Series Analysis
Gradient-Boosted Trees
Neural Networks
Decision Trees
Insights and Communication: Present clear, actionable insights through effective data visualizations to both technical and non-technical stakeholders.
Model Deployment: Transition models efficiently from development to production, ensuring scalability within a cloud-based environment.
Collaboration: Partner with cross-functional teams to identify key business questions and develop data-driven solutions aligned with organizational objectives.
Continuous Improvement: Stay current with industry trends, tools, and methodologies to enhance processes and deliverables.
Ideal Candidate Profile
The ideal candidate will thrive in a collaborative environment and possess a strong balance of technical expertise, analytical skills, and business acumen. Key qualifications include:
Must-Haves:
Education: Master's degree or higher in a quantitative field (e.g., Mathematics, Statistics, Data Science, Physics).
Technical Expertise:
Proficiency in SQL and Python for data analysis and modeling.
Experience with machine learning frameworks such as statsmodels, scikit-learn, or PyTorch.
Demonstrated success applying statistical and machine learning techniques to solve real-world business challenges.
Analytical and Communication Skills:
Ability to derive actionable insights and effectively communicate findings.
Strong problem-solving skills with a proactive approach.
Preferred:
Familiarity with GitHub and CI/CD practices to streamline model deployment.
Experience with cloud-based platforms such as AWS SageMaker or Azure ML.
Proven ability to manage and prioritize complex projects across departments.
What We Offer
Competitive compensation.
Opportunity to work on cutting-edge analytics projects.