Jooble · 7 hours ago

Principal Data Scientist - Secureworks - Atlanta, GA or Remote, US

Durham, NC

Full-time

Remote

Senior Level, Lead/Staff

5+ years exp

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Responsibilities

Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

Mine and analyze data to drive optimization and improvement of sales process, marketing techniques, customer retention, product development, and business strategies.

Assess the effectiveness and accuracy of new data sources and data gathering techniques.

Develop custom data models and algorithms to apply to data sets.

Analyze large amounts of information to discover trends and patterns.

Use predictive modeling and machine-learning algorithms to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

Propose solutions and strategies to business challenges, coordinate with different functional teams to implement findings and monitor outcomes.

Develop automated processes to monitor and analyze model performance and data accuracy.

Communicate results and insights, both verbally and written (including visual graphics), in a clear and concise manner to a non-technical audience

Assist with data governance to maintain data quality

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data manipulationStatistical modelingPythonSQLMachine learningAWS RedshiftS3Natural language processingRegression analysisClusteringDecision treesNeural networksA/B testingTableauBusiness acumenCross-functional collaboration

Required

5+ years of experience manipulating data sets and building statistical models.

BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred.

Strong problem-solving skills with an emphasis on ideal customer profile and customer retention.

Excellent written and verbal communication skills for coordinating across teams; Analytical mind and strong business acumen.

Experience leading and collaborating with cross-functional team to drive changes in various business areas.

Experience using statistical computer languages (Python, SQL, Scikit-Learn, and well-known machine learning frameworks and techniques) to manipulate data and draw insights from large data sets, and using web services: AWS Redshift, S3, etc.

Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, natural language processing, decision trees, neural networks, etc. and knowledge of their real-world advantages/drawbacks.

Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, A/B testing, statistical tests and proper usage, etc.) and experience with applications.