{"schemaVersion":"jobsearcher.job.v1","id":"573073cd6743fc9c3b7da683","url":"https://jobsearcher.com/jobs/573073cd6743fc9c3b7da683","canonicalUrl":"https://jobsearcher.com/jobs/573073cd6743fc9c3b7da683","title":"Data Scientist","description":"Data ScientistOur client is seeking a highly skilled Data Scientist to leverage large volumes of data using modern tools and technologies to uncover insights, build predictive models, and contribute to strategic decision-making. This role requires a blend of technical data science expertise, analytical problem solving, and a passion for transforming data into actionable insights.\r\nKey ResponsibilitiesDesign and implement statistical models and machine learning algorithms to analyze diverse sources of data and achieve targeted outcomes.\r\nLead data mining and collection strategies to improve data reliability, efficiency, and quality.\r\nCollaborate with cross-functional teams to understand business needs and provide data-driven solutions.\r\nContinuously evaluate and identify new technologies, tools, and data sets to enhance the analytics capabilities of the organization.\r\nPresent findings to stakeholders, translating complex data insights into understandable business decisions.\r\nDevelop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.\r\nEnsure data accuracy and integrity by performing thorough testing and validation.\r\nApply statistical and machine learning techniques to solve complex business problems.\r\nCreate visualizations and dashboards to monitor and report on key metrics and trends.\r\nParticipate in code reviews to ensure code quality and adherence to best practices.\r\nMentor junior data scientists and provide technical guidance.\r\nContribute to the continuous improvement of data science processes and methodologies.\r\nTechnologies to be UsedPython\r\nSQL\r\nTableau\r\nPower BI\r\nTensorFlow\r\nPyTorch\r\nVarious data sources (structured and unstructured)\r\nQualificationsMasters degree or Ph.D. in Data Science, Computer Science, Statistics, or a closely related field.\r\nCertifications in relevant technologies and frameworks are advantageous.\r\nMinimum 4 years of relevant experience\r\nKnowledgeExpert understanding of data science, machine learning, AI, and advanced analytics techniques.\r\nSkillsAdvanced proficiency in Python and R for statistical programming and model development.\r\nStrong experience with SQL and database management systems.\r\nSkilled in data visualization tools such as Tableau or Power BI to convey insights visually.\r\nIn-depth knowledge of machine learning frameworks like TensorFlow or PyTorch.\r\nAbility to work with both structured and unstructured data from various sources.\r\nAttitudeAnalytical and critical thinker with meticulous attention to detail.\r\nAbility to work in a dynamic environment and adapt to evolving business needs.\r\nStrong communication skills with the ability to explain complex solutions to non-technical stakeholders.\r\nTeam player who is also capable of working independently.\r\nWork EnvironmentA collaborative and innovative workplace focused on leveraging data to solve complex business challenges.\r\nSupportive team culture promoting continuous professional development and growth.\r\nKey Performance IndicatorsAccuracy and performance of statistical models and machine learning algorithms.\r\nEfficiency and reliability of data mining and collection strategies.\r\nImpact of data-driven solutions on business outcomes.\r\nAdoption and integration of new technologies and data sets.\r\nEffectiveness of data presentations and stakeholder communications.\r\nQuality and scalability of data pipelines and API integrations.\r\nAccuracy and integrity of data maintained through testing and validation.\r\nInnovation in applying statistical and machine learning techniques.\r\nUtility and usability of visualizations and dashboards created.\r\nCode quality and adherence to best practices through code reviews.\r\nGuidance and development provided to junior data scientists.\r\nContinuous improvement of data science processes and methodologies.\r\nSalary and BenefitsCompetitive salary package with performance bonuses.\r\nHealth insurance, retirement plans, and paid time off.\r\nOpportunities for continuous learning and professional development through workshops, courses, and conferences.\r\nFlexible working hours and potential for remote work arrangements.\r\nCompany OverviewOur client is a leading product-based software company, dedicated to creating innovative and efficient solutions that address complex business challenges. Their suite of products enhances operational efficiencies and drives digital transformation, empowering businesses to achieve sustainable growth and competitive advantage. The company is committed to creating a diverse environment and is proud to be an equal opportunity employer, encouraging applications from all backgrounds and cultures.\r\nDiversity PolicyWe are committed to creating a diverse environment and proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.\r\nCareer GrowthClear pathways for career advancement in a supportive environment aimed at fostering professional growth and exploration of new technologies in the field of data science.","company":"Mhymatch","rawCompany":"mhymatch","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-09T01:25:14.995Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2041.00","title":"Statisticians","slug":"statisticians"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist","description":"Data ScientistOur client is seeking a highly skilled Data Scientist to leverage large volumes of data using modern tools and technologies to uncover insights, build predictive models, and contribute to strategic decision-making. This role requires a blend of technical data science expertise, analytical problem solving, and a passion for transforming data into actionable insights.\r\nKey ResponsibilitiesDesign and implement statistical models and machine learning algorithms to analyze diverse sources of data and achieve targeted outcomes.\r\nLead data mining and collection strategies to improve data reliability, efficiency, and quality.\r\nCollaborate with cross-functional teams to understand business needs and provide data-driven solutions.\r\nContinuously evaluate and identify new technologies, tools, and data sets to enhance the analytics capabilities of the organization.\r\nPresent findings to stakeholders, translating complex data insights into understandable business decisions.\r\nDevelop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.\r\nEnsure data accuracy and integrity by performing thorough testing and validation.\r\nApply statistical and machine learning techniques to solve complex business problems.\r\nCreate visualizations and dashboards to monitor and report on key metrics and trends.\r\nParticipate in code reviews to ensure code quality and adherence to best practices.\r\nMentor junior data scientists and provide technical guidance.\r\nContribute to the continuous improvement of data science processes and methodologies.\r\nTechnologies to be UsedPython\r\nSQL\r\nTableau\r\nPower BI\r\nTensorFlow\r\nPyTorch\r\nVarious data sources (structured and unstructured)\r\nQualificationsMasters degree or Ph.D. in Data Science, Computer Science, Statistics, or a closely related field.\r\nCertifications in relevant technologies and frameworks are advantageous.\r\nMinimum 4 years of relevant experience\r\nKnowledgeExpert understanding of data science, machine learning, AI, and advanced analytics techniques.\r\nSkillsAdvanced proficiency in Python and R for statistical programming and model development.\r\nStrong experience with SQL and database management systems.\r\nSkilled in data visualization tools such as Tableau or Power BI to convey insights visually.\r\nIn-depth knowledge of machine learning frameworks like TensorFlow or PyTorch.\r\nAbility to work with both structured and unstructured data from various sources.\r\nAttitudeAnalytical and critical thinker with meticulous attention to detail.\r\nAbility to work in a dynamic environment and adapt to evolving business needs.\r\nStrong communication skills with the ability to explain complex solutions to non-technical stakeholders.\r\nTeam player who is also capable of working independently.\r\nWork EnvironmentA collaborative and innovative workplace focused on leveraging data to solve complex business challenges.\r\nSupportive team culture promoting continuous professional development and growth.\r\nKey Performance IndicatorsAccuracy and performance of statistical models and machine learning algorithms.\r\nEfficiency and reliability of data mining and collection strategies.\r\nImpact of data-driven solutions on business outcomes.\r\nAdoption and integration of new technologies and data sets.\r\nEffectiveness of data presentations and stakeholder communications.\r\nQuality and scalability of data pipelines and API integrations.\r\nAccuracy and integrity of data maintained through testing and validation.\r\nInnovation in applying statistical and machine learning techniques.\r\nUtility and usability of visualizations and dashboards created.\r\nCode quality and adherence to best practices through code reviews.\r\nGuidance and development provided to junior data scientists.\r\nContinuous improvement of data science processes and methodologies.\r\nSalary and BenefitsCompetitive salary package with performance bonuses.\r\nHealth insurance, retirement plans, and paid time off.\r\nOpportunities for continuous learning and professional development through workshops, courses, and conferences.\r\nFlexible working hours and potential for remote work arrangements.\r\nCompany OverviewOur client is a leading product-based software company, dedicated to creating innovative and efficient solutions that address complex business challenges. Their suite of products enhances operational efficiencies and drives digital transformation, empowering businesses to achieve sustainable growth and competitive advantage. The company is committed to creating a diverse environment and is proud to be an equal opportunity employer, encouraging applications from all backgrounds and cultures.\r\nDiversity PolicyWe are committed to creating a diverse environment and proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.\r\nCareer GrowthClear pathways for career advancement in a supportive environment aimed at fostering professional growth and exploration of new technologies in the field of data science.","datePosted":"2026-08-09T01:25:14.995Z","dateModified":"2026-08-09T01:25:14.995Z","hiringOrganization":{"@type":"Organization","name":"Mhymatch","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"573073cd6743fc9c3b7da683"},"url":"https://jobsearcher.com/jobs/573073cd6743fc9c3b7da683"}}