Data Science Senior Consultant
4 weeks ago
Clarkston Consulting is seeking a highly skilled Data Science Senior Consultant to join our team. As a key member of our data science team, you will be responsible for delivering creative business solutions to our market-leading clients in the life sciences, consumer products, and retail industries.
As a Data Science Senior Consultant, you will work closely with our clients to understand their business challenges and develop innovative solutions using data-driven approaches. You will be responsible for conducting exploratory analysis, producing descriptive statistics, and explaining phenomena based on data.
You will also be responsible for developing statistical and machine learning models for proof-of-concept and production-ready applications, driving ideation, execution of experiments, and in-market tests, and providing coaching and mentorship to junior analysts.
We are looking for a highly motivated and self-driven individual who is passionate about data science and has a strong background in statistical techniques, machine learning, and data manipulation. If you are a team player who is eager to learn and grow with our company, we encourage you to apply for this exciting opportunity.
Key Responsibilities- Conduct exploratory analysis and produce descriptive statistics
- Develop statistical and machine learning models
- Drive ideation, execution of experiments, and in-market tests
- Provide coaching and mentorship to junior analysts
- 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) or ML (Machine Learning) 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
- Comprehensive Health and Wellness Benefits (Medical, Dental, Vision, and more)
- 401k with company contributions
- Paid vacation, personal days, holidays, and sick leave
- Paid Parental Leave and Family Building Benefits (Adoption, Surrogacy, and Infertility Support)
- Life and Disability Insurance
- Training and Professional Development investments, Tuition Assistance, and more
Clarkston Consulting is an equal opportunity employer. We are committed to ensuring our firm is rich in diverse skills, competencies, strengths, personalities, and culture. We foster an inclusive environment that embraces the unique contributions of our people to further our purpose.
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