Lead - Data Scientist - Consulting Firm

Lead Data Scientist -Female

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We are looking for a Data Scientist/ Analyst with below skill sets:

- PYTHON, SQL, (ML/DL Algorithms, Built model )

- Linear Regression

- Logistic Regression

- Decision Tree

- Predictive Modelling

- PYSPARK ,SAS are good to have

Summary:

S&I partners with both internal and external clients, and data providers, leveraging analytics and data science to drive strategic thought and effective decision making. The Data Analyst is responsible for conducting data analyses using Python/SQL/PySpark and other tools in support of a variety of analytic solutions.

Roles & Responsibilities:

- Collaborate with internal/external stakeholders to manage data logistics including data specifications, transfers, structures, and rules

- Access and extract data from a variety of sources of all sizes (including client marketing databases) via Python, SQL, PySpark etc

- Master and perform all steps required to create analysis-ready data sets; including data integration/merging, variable preparation, and quality control (QA/QC)

- Provide problem solving and data analysis, derived from programming experience

- Implement machine learning algorithms to solve various business problems

- Document and articulate steps taken in an analysis to project managers

- Answer questions about data sets and analyses

- Follow all policies and procedures for programming, project documentation, and system management

Become familiar with:

- Various offerings in the People Cloud Prospect (PCP) environment

- Various statistical offerings and methods (CHAID, logistic/multiple regression, cluster analysis, factor analysis, statistical analysis)

- Epsilon data assets

- Participate in the design, planning & execution of projects

- Effectively manage time and resources in order to deliver on time / correctly on a limited number (1-4) of concurrent projects

- Proactively communicate with supervisor regarding workload and the status of assignments and manage stakeholders effectively

Minimum Qualifications:

- Bachelors degree in a quantitative discipline (e.g, Engineering, Statistics, Economics, Mathematics, Marketing Analytics) or significant relevant coursework

- 7+ years of experience in the analytics field; marketing analytics experience preferred

- Some positions require a minimum of 3 year of experience conducting digital/Marketing analytics

- Strong analytic thought process and ability to interpret findings

- Acute attention to detail (QA/QC)

- Ability to work on multiple assignments concurrently

- Excellent verbal and written communication skills

- Highly motivated and collaborative team player with strong interpersonal skills

- Effective organization and time management skills

Desirable Qualifications:

- Advanced degree (Masters/PhD) in Statistics, Economics or other quantitative discipline

- Database marketing experience/knowledge

- Ability to program in newer and emerging languages such as Python/PySpark; working knowledge of Hadoop and other big data technologies