Data Science Consultant

at  Clarkston Consulting

Clarkston Consulting is seeking motivated, self-driven leaders who are energized by team results and interested in joining a firm that values its culture and people as its biggest strengths. Come join us as a Data Science Consultant, and in this role, you will deliver creative business solutions to our market-leading clients in the life sciences, consumer products, and retail industries.
Together, we can find the answers to our clients’ most challenging business problems through a combination of our industry expertise, business process knowledge, and consulting excellence.
What You’ll Do

As a Data Science Consultant at Clarkston, you will:

• Conduct exploratory analysis, produce descriptive statistics and explain phenomena based on data
• Develop statistical and machine learning models for POC and production-ready applications
• Drive ideation, execution of experiments, and in-market tests
• Provide coaching and mentorship to junior analysts

How You’ll Grow

Beyond your day-to-day responsibilities, throughout your career at Clarkston you will:

• Have the support and mentorship of your Clarkston colleagues and leaders
• Expand your existing skillset with internal and external professional development opportunities

REQUIREMENTS

What We’re Looking For:

• 3 years of data science experience, preferably in a consulting environment
• Experience drawing insights from large data sets and manipulating data using a variety of methods and tools
• Solid base understanding of statistical techniques around correlation, regression, outlier detection, and significance
• Strong experience building end-to-end predictive models, including parametric and non-parametric
• Highly skilled in utilizing LLM (Large Language Models) tools
• Experience using a variety of machine learning techniques for supervised and unsupervised learning that highlights the real-world advantages/drawbacks, including classification, regression, time series forecasting, clustering, and other use cases
• Experience optimizing, testing, and documenting results of machine learning models
• Knowledge of common machine learning pitfalls and how to avoid them, including normalization, feature selection, optimization, and validation
• Experience querying databases and strong familiarity with SQL and Python
• Knowledge of tasks access production environment and maintain results: analyzing model drift, version control, security strategy, monitoring and alerts
• Understanding of the resource landscape with the ability to research and form opinions around the best vendor solutions for our clients
• Ability to share your technical solutions and product ideas with the team through design review, pair programming, code/model reviews, and tech conversations
• Masters or PhD in Math, Statistics, Engineering, or other relevant field for data science applications

• Have the support and mentorship of your Clarkston colleagues and leaders
• Expand your existing skillset with internal and external professional development opportunitie