About this role:
In this role, you will:
- Lead or participate in moderately complex initiatives and deliverables by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, or contribute to large-scale planning that has a broader impact
- Review and analyze moderately complex, large structured and unstructured data sets from various sources, requiring an in-depth hypothesis generation and advanced analysis of variable factors to convert data into meaningful insights and recommendations
- Independently analyze and resolve moderately complex issues and lead team to meet deliverables while leveraging solid understanding of analytic capabilities
- Collaborate and consult with peers, colleagues, and mid-level managers to drive recommendations and strategies based on data-driven analytical insights, trends, and patterns that will resolve issues and achieve goals; may lead projects, teams, or serve as a mentor for lower-level staff
- Execute analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains
- Interpret and analyze data, using advanced analytics modeling methods and programming, to recommend ways to solve problems and influence business decisions and strategies
- Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels
Required Qualifications:
- 4+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Desired Qualifications:
- Languages: SQL, Python, SAS, PySpark
- Hands on experience on GCP(Google Cloud platform)
- BI Tools: Tableau/ Power BI/ Excel
- Good knowledge of building strategic analysis using customer profiling, business segmentation, heuristics, inferential statistics, RFM analysis
- Experience of working with Machine learning techniques Segmentation, Regression, Decision Trees, Forecasting, Clustering
- Highly organized and proactive. Should be able to manage multiple tasks in a dynamic environment and deal with multiple priorities.
- Excellent written and oral communication skills, and interpersonal skills.