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

Dell Technologies - Wilmington, NC

Full-time

Wilmington, NC

Computer and Electronic Product Manufacturing

About the position

The Data Scientist role at Secureworks involves supporting various teams including product, sales, customer retention, leadership, and marketing by analyzing company data to derive actionable insights. The ideal candidate will utilize large data sets to identify opportunities for optimization and will be responsible for building models, testing different strategies, and communicating findings to stakeholders. This position requires a strong analytical mindset and the ability to work collaboratively across departments to enhance business outcomes.

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.

Requirements

• 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.

Nice-to-haves

• In-depth knowledge about SaaS business model
• Experience with Tableau reporting a plus

Benefits

• Competitive compensation and benefits packages
• Flexible work options
• Emphasis on work-life balance
• Opportunities for continued learning and growth