Applied Materials
Data Scientist, People Analytics III - (B3)
Applied Materials, Santa Clara, California, us, 95053
Applied Materials is seeking a data scientist with strong business acumen, system, and analytical skills to join the dynamic & high-performing Workforce Strategy & Intelligence (WSI) team to act as an expert data-centered consultant focused on workforce strategy and talent management, and to enable a world-class HR function through technology, strategy, and analytics.The People Analytics Data Scientist role will work with HR & business stakeholders and the leadership to leverage talent data to inform and enhance decision-making. This position will utilize data analysis methodologies, tools and approaches to provide insights. This individual will be responsible for translating business objectives and challenges into analytics priorities, communicating the analytics findings to influence people strategy, business decisions, and solve high-value problems.The individual must be highly data-driven, technically proficient, creative, detail-oriented, proactive, intellectually curious, a strong consultant, and an effective communicator. This role requires a strong passion for strategy, systems, data mining, and analytics.Key Responsibilities
Partner closely with Senior Leadership, HR Business Partners, HR stakeholders in other functional areas, business & company leaders, and fellow team members to identify key workforce issues impacting the business.Use consulting skills to determine and articulate internal customer business questions, develop the best approach for data analysis and turn data into actionable insights & recommendations.Merge structured, semi-structured, and unstructured data from several systems to highlight company trends related to recruiting, developing, engaging, and retaining talent.Leverage statistical approaches to develop hypotheses, investigate measures, correlations, causality connections, analyze data creatively and connect the results to inform and influence strategy and decision making for critical business issues.Perform complex and sophisticated data analysis such as regression analysis, factor analysis, t-tests, decision trees, ANOVA, and forecasting methods to generate insight to support the workforce analytics needs of the business, to drive more informed business decisions.Leverage machine learning algorithms and data science techniques in future focus, prediction, and forecasting to anticipate the changes in the business, and to enable robust talent strategy.Develop workforce planning frameworks, models, and insights to support the business in making data-driven decisions on complex business problems.Effectively communicate statistical analyses, results, and implications to technical and non-technical audiences. Deliver high-quality analysis, reports, presentations using effective visualizations that can be scaled for consumption by a larger audience.Be on top of technology trends, and creatively identify how the trends can be used across the varying levels of technological and digital needs to enhance employee experience, HR organization, and the company.Stay current on industry trends and best practices regarding human capital/workforce analytics.Requirements:
Master’s degree in a quantitative discipline such as Statistics, Data Science, Finance, Engineering, Computer Science, Management Science, or Econometrics.3+ years’ experience in a quantitative or analytics role.Experience with Data Analytics using R/Python, statistical packages and libraries, SQL, visualization tools like Tableau, Business Intelligence (BI) tools, Hive, Excel.Experience with data mining techniques and algorithms.Ability to create ad-hoc queries, join data from multiple sources to perform complex analysis.Demonstrated ability to analyze complex issues, form hypotheses, analyze to predict outcomes, determine solutions and recommendations.Strong consultative & communication skills and the ability to build relationships with HR and cross-functional partners.Works effectively in an unstructured environment, taking initiatives and ownership, forming new perspectives and creative approaches, solid problem-solving and critical thinking skills.Basic financial knowledge (ROI, basic understanding of financial statements), business acumen, and understanding of strategy and its formulation.Preferred Qualifications
Experience in HR workforce analytics and HR data and metrics.Strong project management skills.Qualifications
Education:
Bachelor's DegreeYears of Experience:
4 - 7 YearsTime Type:
Full timeEmployee Type:
Assignee / RegularTravel:
NoRelocation Eligible:
NoU.S. Salary Range:
$140,000.00 - $192,500.00The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
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Partner closely with Senior Leadership, HR Business Partners, HR stakeholders in other functional areas, business & company leaders, and fellow team members to identify key workforce issues impacting the business.Use consulting skills to determine and articulate internal customer business questions, develop the best approach for data analysis and turn data into actionable insights & recommendations.Merge structured, semi-structured, and unstructured data from several systems to highlight company trends related to recruiting, developing, engaging, and retaining talent.Leverage statistical approaches to develop hypotheses, investigate measures, correlations, causality connections, analyze data creatively and connect the results to inform and influence strategy and decision making for critical business issues.Perform complex and sophisticated data analysis such as regression analysis, factor analysis, t-tests, decision trees, ANOVA, and forecasting methods to generate insight to support the workforce analytics needs of the business, to drive more informed business decisions.Leverage machine learning algorithms and data science techniques in future focus, prediction, and forecasting to anticipate the changes in the business, and to enable robust talent strategy.Develop workforce planning frameworks, models, and insights to support the business in making data-driven decisions on complex business problems.Effectively communicate statistical analyses, results, and implications to technical and non-technical audiences. Deliver high-quality analysis, reports, presentations using effective visualizations that can be scaled for consumption by a larger audience.Be on top of technology trends, and creatively identify how the trends can be used across the varying levels of technological and digital needs to enhance employee experience, HR organization, and the company.Stay current on industry trends and best practices regarding human capital/workforce analytics.Requirements:
Master’s degree in a quantitative discipline such as Statistics, Data Science, Finance, Engineering, Computer Science, Management Science, or Econometrics.3+ years’ experience in a quantitative or analytics role.Experience with Data Analytics using R/Python, statistical packages and libraries, SQL, visualization tools like Tableau, Business Intelligence (BI) tools, Hive, Excel.Experience with data mining techniques and algorithms.Ability to create ad-hoc queries, join data from multiple sources to perform complex analysis.Demonstrated ability to analyze complex issues, form hypotheses, analyze to predict outcomes, determine solutions and recommendations.Strong consultative & communication skills and the ability to build relationships with HR and cross-functional partners.Works effectively in an unstructured environment, taking initiatives and ownership, forming new perspectives and creative approaches, solid problem-solving and critical thinking skills.Basic financial knowledge (ROI, basic understanding of financial statements), business acumen, and understanding of strategy and its formulation.Preferred Qualifications
Experience in HR workforce analytics and HR data and metrics.Strong project management skills.Qualifications
Education:
Bachelor's DegreeYears of Experience:
4 - 7 YearsTime Type:
Full timeEmployee Type:
Assignee / RegularTravel:
NoRelocation Eligible:
NoU.S. Salary Range:
$140,000.00 - $192,500.00The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
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