Project Manager

About the Role

Key Responsibilities

• Develop predictive models using statistical algorithms and machine learning techniques.
• Analyze data quality and ensure data integrity using statistical procedures.
• Create project plans, team structures, milestones, and project deliverables.
• Identify tools for data ingestion and storage, and set up data-labs and analytical workspaces.
• Work on real-time data capture and provide platform support for real-time analytics.
• Build data frameworks in HIVE, PySpark, Scala, and Amazon Redshift for data pipeline development.
• Automate and standardize development and testing processes using ETL tools and frameworks.
• Process, clean, and prepare data for analysis, ensuring all necessary variables are available.
• Create, transform, and merge data tables; generate flags using SQL.
• Validate and optimize data models for prediction accuracy and robustness.
• Analyze online behavior, interpret business needs, and define project scope.
• Share insights and provide strategic recommendations to clients.
• Present data insights to leadership and stakeholders through reports and presentations.
• Create visualizations and dashboards using charts, graphs, and data visualization tools.
• Ensure code deployment and integration, linking to SDLC metrics.
• Work at various worksites across the U.S., with telecommuting options.

Requirements

• Master's degree or foreign equivalent in Operations Research, Computer Science, Information Systems, or a related field, plus one (1) year of experience in a related occupation.
• Or Bachelor's degree plus three (3) years of experience in a related field in lieu of a Master's degree and one (1) year of experience.
• One (1) year of professional experience in data extraction and data visualization.
• Experience with Python and R.
• Experience with Agile project management methodology.
• Experience working with complex data structures and large datasets in a business setting.
• Experience developing end-to-end solutions from requirement gathering to deployment and building key business metrics.
• Experience with Business Intelligence tools including Excel or Tableau.
• Experience with analytical tools including SAS and SQL.
• Experience building, validating, and monitoring statistical models to meet client guidelines.
• Experience delivering data analytics presentations to clients, senior managers, and executives.

Nice to Have

• Experience with Qubole and Snowflake for data workspace setup.
• Knowledge of data frameworks such as HIVE, PySpark, Scala, and Amazon Redshift.
• Experience with CI/CD processes.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.

Qualifications

• Master's degree or foreign equivalent in Operations Research, Computer Science, Information Systems, or a related field.
• Or Bachelor's degree plus three (3) years of relevant experience.

Benefits & Perks

• Salary range of $142,000 - $145,000 per year.
• Paid Time Off policy.
• Region-specific benefits.
• Bonuses and other rewards as part of total compensation.
• Work from anywhere in the United States with telecommuting options.