Python programming, Splunk SPL Query, Oracle SQL Query, Power BI Reporting, Big Data systems such as Microsoft Azure or Google Cloud Platform
Data Science skills such as machine learning usage in Python or Big Data platforms such as Microsoft Azure or Google Cloud Platform
Sr. Data Scientist
Skill Requried:
Provide expertise and leadership at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling, and initiatives.
Leads staff in descriptive, predictive, prescriptive and ensemble modeling, advanced statistical techniques, use of database tools and/or other approaches in quantitative analysis of complex business situations.
Creates and executes solutions from initial concept to fully tested production, and communicates results to a broad range of audiences.
Advanced use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis.
Uses data, statistical and quantitative analysis, explanatory and high complexity predictive modeling and fact based management to drive decision making.
Mentors less senior staff. Leads cross functional teams.
Routinely work on multiple highly complex assignments.
Provides consultation to Sr. Leadership on a normal basis.
Must Haves:
Highly proficient in Python and SQL,
Experience in working with any of the data science platform/tools: Azure Databricks/ML Flow, Azure ML Studio,
R Studio, Python(Matplotlib, Seaborn, Plotly, TensorFlow, Scikit-learn, FBProphet) using Jupyter Notebook,
Amazon SageMaker, Dataiku, H2O, Alteryx, SAS for data science.
Strong understanding in ML techniques like Regression, Classification, Clustering, etc.
Ability to identify and to create the appropriate algorithm to discover patterns.
Ability in developing experimental design approaches to validate finding(s) or test hypotheses.
Excellent organizational, analytical, and problem-solving skills.
Agile processes and workflow, good interpersonal skills, good written and oral communication
Good to have Skills:
Story telling/presenting with data insights and actionable recommendations.
Experience using cloud computing (Azure/AWS/GCP).
Building visualizations using PowerBI.
Experience working in Azure Databricks.
Awareness of MLOps / DevOps methods and technologies.
Experience in Apache Spark / PySpark. Understanding of Data Governance / Data Privacy
Minimum Qualifications:
Masters degree or equivalent in a quantitative discipline required.
five (5) years work experience in measurement and analysis, quantitative business problem solving, operations analysis, marketing analysis, simulation and/or predictive analytics.
superior analytical skills with diverse analytics and statistical software and applications.
Excellent interpersonal skills, written, and oral communication skills. Proven leadership skills.
