Job Description
Constellation Search Group is seeking a highly motivated and experienced advanced analytics Data Scientist to join our client's growing R&D Device Analytics Team. In this role, you will spearhead our efforts in utilizing advanced analytics to drive key business decisions and foster innovation. You will leverage your deep understanding of statistics, machine learning and AI to develop cutting-edge solutions, work with a team of talented analysts, and collaborate effectively with stakeholders across the organization.
ResponsibilitiesQualifications
- Collaborate with a team of analysts, providing guidance, support, and fostering professional development of the team in areas of your expertise.
- Develop and implement sophisticated statistical and machine learning models to address complex business challenges, including customer segmentation, churn prediction, fraud detection, and demand forecasting.
- Conduct in-depth data analysis employing a variety of techniques, such as exploratory data analysis, hypothesis testing, regression analysis, and time series analysis.
- Design and execute A/B testing and other experimental designs to assess the effectiveness of new products, features, and marketing campaigns.
- Oversee the building and maintenance of data pipelines and ETL processes to ensure data quality and accessibility for analysis.
- Collaborate closely with cross-functional teams (e.g., product marketing, engineering, operations, finance, etc) to identify opportunities for data-driven enhancements and translate business requirements into analytical problems.
- Clearly and effectively communicate intricate analytical findings and insights to both technical and non-technical audiences through compelling visualizations, presentations, and reports.
- Stay at the forefront of advancements in AI, machine learning, and data science, identifying opportunities to apply new techniques for enhanced business outcomes.
- Contribute to the development and implementation of the team's strategic vision and roadmap.
- Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field.
- 3 years of experience in advanced analytics or data science.
- Proven track record of using advanced analytics to uncover end user insights and solve real world problems.
- Deep understanding and practical experience in statistical modeling, machine learning algorithms, and data mining techniques.
- Strong proficiency in SQL, with extensive experience working with large and complex datasets.
- Hands-on experience with data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g., Python, R).
- Exceptional communication, interpersonal, and presentation skills, with the ability to convey technical concepts clearly to diverse audiences.
- Strong problem-solving abilities and a passion for leveraging data to drive business value.
- Strong work ethic and passion for learning. Collaborative mindset.
Bonus Points
- Experience with mobile or desktop software and Google Analytics.
- Familiarity with cloud computing platforms (e.g., GCP, Azure).
- Knowledge of data engineering tools and practices, including ETL processes and data pipelines.
Benefits: A competitive benefits package is provided.
Salary: Salary range commiserated with professional experience.
Equal Opportunity Employer:
We are deeply committed to building a diverse and inclusive team. We believe that different backgrounds and life experiences make our team better. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
Location
Plymouth, MN
Job Posting
Salary Range
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