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. www.secureworks.comWe 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 whats 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 OverviewWe 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<ul><li>Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.</li><li>Mine and analyze data to drive optimization and improvement of sales process, marketing techniques, customer retention, product development, and business strategies.</li><li>Assess the effectiveness and accuracy of new data sources and data gathering techniques.</li><li>Develop custom data models and algorithms to apply to data sets.</li><li>Analyze large amounts of information to discover trends and patterns.</li><li>Use predictive modeling and machine-learning algorithms to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.</li><li>Propose solutions and strategies to business challenges, coordinate with different functional teams to implement findings and monitor outcomes.</li><li>Develop automated processes to monitor and analyze model performance and data accuracy.</li><li>Communicate results and insights, both verbally and written (including visual graphics), in a clear and concise manner to a non-technical audience</li><li>Assist with data governance to maintain data quality</li></ul>Requirements <ul><li>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.</li><li>Strong problem-solving skills with an emphasis on ideal customer profile and customer retention.</li><li>Excellent written and verbal communication skills for coordinating across teams; Analytical mind and strong business acumen.</li><li>Experience leading and collaborating with cross-functional team to drive changes in various business areas.</li><li>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.</li><li>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.</li><li>Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, A/B testing, statistical tests and proper usage, etc.) and experience with applications.</li></ul>Preferred Skills <ul><li>In-depth knowledge about SaaS business model</li><li>Experience with Tableau reporting a plus</li></ul>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 ethnic?origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership?status, 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.Job ID:R245195

Major Duties<ul><li>Serves as a Senior Data Scientist leading teams for the most complex projects. May also serve as a team participant or an independent analyst on professional data science teams.</li><li>Applies the rigors of the data science discipline to data analysis in Cyber, Information Technology and economic analyses of complex and potentially controversial major information technology systems and networks.</li><li>Responsible for advanced level data science analytics characterized as highly unstructured and complex, having little definition or clarity, and especially complex analytic projects assigned to the organization.</li><li>Provides business metrics and support for the most complex projects to identify improvements (contribution to the improvement should be monitored initially and over multiple iterations).</li><li>Coordinates with the data steward to ensure that the information used follows the regulatory and security policies in place.</li><li>Qualify where information can be stored or what information, external to the organization, may be used in support of the use case.</li><li>Lead analytical projects, providing direction and guidance to project members of a professional nature in the execution and implementation of projects.</li></ul>Qualifications/ Specialized ExperienceWho May Apply: Only applicants who meet one of the employment authority categories below are eligible to apply for this job. You will be asked to identify which category or categories you meet, and to provide documents which prove you meet the category or categories you selected. See Proof of Eligibility for an extensive list of document requirements for all employment authorities. Current Army Cyber Excepted Service (CES) Employee Current Army Defense Civilian Intelligence Personnel System (DCIPS) Employee Current Civilian Employees of the Organization Applying to Cyber Excepted Service (CES) Positions Current Department of Army Civilian Employees Current DoD Cyber Excepted Service (CES) Employee (non-Army) Current DoD Defense Civilian Intelligence Personnel System (DCIPS) Employee (non-Army) Current Permanent DoD Civilian Employee (non-Army) Applying to Cyber Excepted Service Positions Non-Department of Defense (DoD) Transfer Applying to Cyber Excepted Service Positions Army CES positions apply Veteran's Preference to preference eligible candidates, as defined by Section 2108 of Title 5 U.S.C., in accordance with the procedures provided in DoD Instruction 1400.25, Volume 3005, "CES Employment and Placement". If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you must submit documents verifying your eligibility with your application package. In order to qualify, you must meet the education and experience requirements described below. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student; social). You will receive credit for all qualifying experience, including volunteer experience. Your resume must clearly describe your relevant experience; if qualifying based on education, your transcripts will be required as part of your application. Additional information about transcripts is in this document. Basic Requirement for Data Scientist: A. Degree: Bachelor's degree (or higher degree) in in mathematics, statistics, computer science, data science or field directly related to the position. OR B. Combination of Education and Experience: Courses equivalent to a major field of study (30 semester hours) as shown in A above, plus appropriate experience or additional education. In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below: GG-11 Qualifying Experience: To qualify based on your experience, your resume must describe one year of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) assisting with analyzing data in cyber, information technology, or other areas to ensure plans meet programming requirements; (2) analyzing economic information to ensure plans meet budgetary requirements; (3) working on a team providing business metrics and support for complex projects to identify needed improvements; (4) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research. GG-12 Qualifying Experience: To qualify based on your experience, your resume must describe one year of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) analyzing data in cyber, information technology and/or economic information to ensure plans meet programming or budgetary requirements; (2) providing business metrics and support for complex projects to identify needed improvements; (3) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research. GG-13 Qualifying Experience: To qualify based on your experience, your resume must describe two years of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) leading teams in analyzing data in cyber, information technology to ensure plans meet programming; (2) analyzing economic information to ensure plans meet budgetary requirements; (3) providing business metrics and support for complex projects to identify needed improvements; (4) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research; (5) ensuring information used is in compliance with regulations and security policies.

The Associate Data Scientist assists Data Scientists with a range of functions that includes designs, implements, and evaluates advanced statistical models and apaches for application in the businesss most complex issues. The Associate Data Scientis Scientist, Associate, Claims, Data, Technology, Insurance

Data Scientist Jobs in Worcester, MA

Principal Data Scientist Secureworks Atlanta Ga Or Remote Us
November 20, 2024

Principal Data Scientist Secureworks Atlanta Ga Or Remote Us
November 12, 2024

Principal Data Scientist Secureworks Atlanta Ga Or Remote Us
November 5, 2024

Junior Data Scientist
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Data Scientist
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Associate Data Scientist Claims Reporting Team
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Data Scientist Jobs in Worcester, MA

Principal Data Scientist Secureworks Atlanta Ga Or Remote UsNovember 20, 2024

Principal Data Scientist Secureworks Atlanta Ga Or Remote UsNovember 12, 2024

Principal Data Scientist Secureworks Atlanta Ga Or Remote UsNovember 5, 2024

Junior Data ScientistNovember 4, 2024

Data ScientistOctober 30, 2024

Associate Data Scientist Claims Reporting TeamOctober 30, 2024