This role is perfect for someone passionate about the intersection of computational science, data analysis, and business consulting. You will work closely with cross-functional teams to manipulate, analyze, and clean data while leveraging predictive and prescriptive models to extract actionable insights that inform business decisions. Your proficiency in Python programming will be essential in building robust models and ensuring smooth deployment from development to production. Additionally, you will communicate your findings clearly and effectively to both technical and non-technical stakeholders. If you enjoy delivering end-to-end data solutions in a collaborative, dynamic environment, we want you on our team.
Key Responsibilities:
- Collaborate with team members and business partners to identify and prioritize key business questions and drive impactful, data-based decisions.
- Extract, clean, and manipulate data from multiple sources using SQL and Python, preparing it for deep analysis and model development.
- Develop and implement sophisticated predictive and prescriptive models using advanced statistical and machine learning techniques to solve critical business challenges.
- Create compelling data visualizations that effectively communicate insights to both technical and non-technical audiences.
- Ensure smooth transition of models from development to production within the organization's cloud ecosystem, maintaining alignment with business needs.
- Actively engage in project planning and prioritization sessions, ensuring data initiatives align with broader business objectives.
- Stay current with industry trends, integrating new knowledge to improve methodologies and solutions.
Qualifications (Must-Have):
- Master’s degree or higher in a relevant analytical field.
- Expertise in SQL for data extraction and manipulation.
- Hands-on experience in software development with Python, including Pandas and Numpy.
- Strong background in statistical and machine learning techniques, with experience using frameworks such as statsmodels, scikit-learn, PyTorch, or TensorFlow.
- Knowledge of advanced methods, including Logistic Regression, Time Series Analysis, GLMs, Predictive Modeling, Decision Trees, Random Forests, Neural Networks, and Gradient-Boosted Trees.
- Proactive problem-solving approach, with the ability to develop innovative solutions.
- Experience with version control using GitHub.
Preferred Skills:
- Familiarity with CI/CD practices for model deployment and code management.
- Hands-on experience with cloud-based machine learning platforms like AWS SageMaker or Azure ML to scale computing resources.
- Proven ability to lead cross-functional projects and drive impactful change through influence and collaboration.
- Experience working with Snowflake, Netezza, or Microsoft SQL environments.
- Experience with SAS programming language.
- Understanding of cash flow financial analysis and its impact on business strategy.
***Pay rate- $60-$62/hour
Russell Tobin offers eligible employee's comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.