Synaptics
Sr. Staff Data Scientist
Synaptics, San Jose, California, United States, 95199
Overview:
Synaptics is seeking a Sr. Staff Data Scientist to establish the data science function in Synaptics with initial focus on New Product Introduction and Enterprise Sales. In this role, you will be responsible for critical functions related to machine learning, modeling, forecasting, and analysis. Your efforts will be instrumental in optimizing our Enterprise business and redefining data into actionable business insights for future growth. This role will report directly to the Chief Information and Innovation Officer and will have executive level visibility.Millions of people experience Synaptics every day. Our technology impacts how people see, hear, touch, and engage with a wide range of IoT applications -- at home, at work, in the car or on the go.We solve complex challenges alongside the most influential companies in the industry, using the most advanced algorithms in areas such as machine learning, biometrics, and video processing, combined with world class software and silicon development.The typical base pay range for this position is USD $162,000 - $254,100 per year. Individual pay is determined by many factors including work location, job-related skills, experience, and relevant education or training. This position is also eligible for a discretionary annual performance bonus, equity, and other benefits. Note that compensation listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.Responsibilities:Job DutiesEvaluate financial metrics, industry trends, competitive landscape, market share, and qualitative factors to support data-driven decision-makingDevelop and establish predictive models to provide strategic insights and recommendations for market, product, and sales data and New Product Introduction dataGather data from various sources, including databases, APIs, and external datasetsExplore data to identify trends, patterns, and correlations and select relevant features for additional analysisDevelop and implement machine learning models to address specific business problemsCreate informative and visually appealing data visualizations to communicate findings to non-technical stakeholdersBuild predictive models for forecasting, classification, recommendation, or optimization.Assess model performance using appropriate metricsPartner with Sales/Product line leaders to understand business requirements and seamlessly integrate statistical models into forecast planning systems, ensuring reliable and timely delivery of forecasts and analyses to senior management teamsCompetenciesProficiency in programming languages like SQL and PythonStrong understanding of statistical analysis and hypothesis testingKnowledge of data storage and retrieval techniques, databases (SQL, NoSQL), and data warehousingStrong problem-solving and critical thinking skillsExcellent communication and teamwork abilitiesPositive attitude and work ethic; well organized with strong attention to detailProactive, self-starter, able to work independently in a fast-paced environmentQualifications:
Bachelors degree (Master's or PhD preferred) in Data Science, Computer Science, Machine Learning, Business Analytics, Statistics, or mathematics or a related field or equivalent12+ years of proven experience as a data analyst or data scientistSolid practical experience in building AI/ML models, statistics, predictive modeling, time series forecasting, regression, classification, clustering, outlier analysis, hypothesis validation, etc.Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP)Domain expertise in the semiconductor industry an advantageNatural language processing (NLP) and text mining skills a plusNo travel requiredBelief in DiversitySynaptics is an Equal Opportunity Employer committed to workforce diversity. Qualified applicants will receive consideration without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, or genetic information.
Synaptics is seeking a Sr. Staff Data Scientist to establish the data science function in Synaptics with initial focus on New Product Introduction and Enterprise Sales. In this role, you will be responsible for critical functions related to machine learning, modeling, forecasting, and analysis. Your efforts will be instrumental in optimizing our Enterprise business and redefining data into actionable business insights for future growth. This role will report directly to the Chief Information and Innovation Officer and will have executive level visibility.Millions of people experience Synaptics every day. Our technology impacts how people see, hear, touch, and engage with a wide range of IoT applications -- at home, at work, in the car or on the go.We solve complex challenges alongside the most influential companies in the industry, using the most advanced algorithms in areas such as machine learning, biometrics, and video processing, combined with world class software and silicon development.The typical base pay range for this position is USD $162,000 - $254,100 per year. Individual pay is determined by many factors including work location, job-related skills, experience, and relevant education or training. This position is also eligible for a discretionary annual performance bonus, equity, and other benefits. Note that compensation listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.Responsibilities:Job DutiesEvaluate financial metrics, industry trends, competitive landscape, market share, and qualitative factors to support data-driven decision-makingDevelop and establish predictive models to provide strategic insights and recommendations for market, product, and sales data and New Product Introduction dataGather data from various sources, including databases, APIs, and external datasetsExplore data to identify trends, patterns, and correlations and select relevant features for additional analysisDevelop and implement machine learning models to address specific business problemsCreate informative and visually appealing data visualizations to communicate findings to non-technical stakeholdersBuild predictive models for forecasting, classification, recommendation, or optimization.Assess model performance using appropriate metricsPartner with Sales/Product line leaders to understand business requirements and seamlessly integrate statistical models into forecast planning systems, ensuring reliable and timely delivery of forecasts and analyses to senior management teamsCompetenciesProficiency in programming languages like SQL and PythonStrong understanding of statistical analysis and hypothesis testingKnowledge of data storage and retrieval techniques, databases (SQL, NoSQL), and data warehousingStrong problem-solving and critical thinking skillsExcellent communication and teamwork abilitiesPositive attitude and work ethic; well organized with strong attention to detailProactive, self-starter, able to work independently in a fast-paced environmentQualifications:
Bachelors degree (Master's or PhD preferred) in Data Science, Computer Science, Machine Learning, Business Analytics, Statistics, or mathematics or a related field or equivalent12+ years of proven experience as a data analyst or data scientistSolid practical experience in building AI/ML models, statistics, predictive modeling, time series forecasting, regression, classification, clustering, outlier analysis, hypothesis validation, etc.Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP)Domain expertise in the semiconductor industry an advantageNatural language processing (NLP) and text mining skills a plusNo travel requiredBelief in DiversitySynaptics is an Equal Opportunity Employer committed to workforce diversity. Qualified applicants will receive consideration without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, or genetic information.