Secureworks (NASDAQ: SCWX) a global cybersecurity leader, enables our customers and partners to outpace and outmaneuver adversaries with more precision, so they can rapidly adapt and respond to market forces to meet their business needs. With a unique combination of cloud-native, SaaS security platform and intelligence-driven security solutions, informed by 20+ years of threat intelligence and research, no other security platform is grounded and informed with this much real-world experience. We enjoy competitive compensation and benefits packages, and reward and recognize our employees for exceptional results. A constant focus on continued learning and growth keeps our team members engaged and excited about “what’s next.” We offer flexible work options when available, and emphasize the importance of work-life balance. We know that when our people are rewarded, recognized, and rejuvenated, we win as a team. Role Overview We are looking for a Data Scientist who will support our product, sales, customer retention, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization, and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods and data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Your resiliency, adaptability and business acumen are all keys to your success. 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. Preferred Skills In-depth knowledge about SaaS business model Experience with Tableau reporting a plus Secureworks is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Secureworks are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief,national, social or ethnicorigin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnershipstatus, past or present military service, family medical history or genetic information, family or parental status,or any other status protected by the laws or regulations in the locations where we operate. Secureworks will not tolerate discrimination or harassment based on any of these characteristics. #J-18808-Ljbffr
Natural language processing (NLP) scikit-learn amazon-s3 Tableau Data Science Python Amazon Redshift simulation modeling SaaS cluster-analysis SQL decision-tree regression neural-network