{"schemaVersion":"jobsearcher.job.v1","id":"86455ccddafe37ce8ae493d1","url":"https://jobsearcher.com/jobs/86455ccddafe37ce8ae493d1","canonicalUrl":"https://jobsearcher.com/jobs/86455ccddafe37ce8ae493d1","title":"Data Scientist","description":"Job Description:\nJob Title: Data Scientist\nEdurech Technology\nCompany Overview\nAt Edurech Technology, we are at the forefront of the educational technology revolution. We are dedicated to creating innovative, data-driven learning solutions that empower students and educators worldwide. Our team is passionate about leveraging technology to solve complex challenges in education and improve learning outcomes. We are looking for a talented and curious Data Scientist to join our mission-driven team and help shape the future of learning.\nJob Summary:\nWe are seeking a motivated Data Scientist with 2-6 years of experience to join our dynamic team in Tempe. The ideal candidate will have a strong foundation in statistical analysis, machine learning, and data wrangling. You will be responsible for analyzing large, complex educational datasets to extract valuable insights, building predictive models to enhance the learning experience, and working collaboratively with cross-functional teams to influence business strategy and product development.\nKey Responsibilities\nAnalyze Data: Perform exploratory data analysis on diverse educational datasets to identify trends, patterns, and student learning behaviors.\nDevelop Models: Design, build, and deploy machine learning models to address business needs such as predicting student success, personalizing content, and classifying user engagement.\nGenerate Insights: Translate complex findings into actionable insights and communicate them effectively to both technical and non-technical stakeholders through reports and visualizations.\nCollaborate: Partner with product, engineering, and curriculum teams to identify opportunities for data-driven features and to support their initiatives.\nData Wrangling: Clean, process, and transform raw data from multiple sources into usable formats for analysis and modeling.\nMaintain & Improve: Monitor the performance of existing models and statistical processes, making improvements as needed to ensure accuracy and efficacy.\nRequired Qualifications & Skills:\nExperience: 2-6 years of professional experience in a data science or related analytical role.\nEducation: Bachelor's degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related discipline.\nProgramming Skills: Strong proficiency in Python or R for data analysis and modeling.\nDatabase Knowledge: Solid experience with SQL for querying and manipulating large datasets.\nMachine Learning: Hands-on experience with core machine learning concepts and libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Keras).\nStatistical Foundation: A firm understanding of statistical principles and hypothesis testing.\nCommunication: Excellent verbal and written communication skills, with the ability to present complex results clearly and concisely.\nPreferred Qualifications:\nMaster's or Ph.D. in a relevant quantitative field.\nExperience with cloud platforms like AWS, Google Cloud Platform (GCP), or Azure.\nFamiliarity with big data technologies such as Spark or Hadoop.\nExperience with data visualization tools like Tableau, Power BI, or Matplotlib/Seaborn.\nProven experience taking a data science project from conception to production.\nPrior experience in the EdTech (Education Technology) industry.\nJob Type: Full-time\nBenefits:\n401(k)\n401(k) matching\nDental insurance\nEmployee assistance program\nFlexible schedule\nHealth insurance\nLife insurance\nPaid time off\nProfessional development assistance\nRelocation assistance\nTuition reimbursement\nVision insurance\nWork Location: In person\nPay: $115,599.30 - $139,216.36 per year\nWork Location: In person","company":"Edurechtechnoogy","rawCompany":"edurechtechnoogy","city":"Landers","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-10T15:11:02.247Z","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":"611710","title":"Educational Support Services","slug":"educational-support-services"},{"code":"923110","title":"Administration of Education Programs","slug":"administration-of-education-programs"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist","description":"Job Description:\nJob Title: Data Scientist\nEdurech Technology\nCompany Overview\nAt Edurech Technology, we are at the forefront of the educational technology revolution. We are dedicated to creating innovative, data-driven learning solutions that empower students and educators worldwide. Our team is passionate about leveraging technology to solve complex challenges in education and improve learning outcomes. We are looking for a talented and curious Data Scientist to join our mission-driven team and help shape the future of learning.\nJob Summary:\nWe are seeking a motivated Data Scientist with 2-6 years of experience to join our dynamic team in Tempe. The ideal candidate will have a strong foundation in statistical analysis, machine learning, and data wrangling. You will be responsible for analyzing large, complex educational datasets to extract valuable insights, building predictive models to enhance the learning experience, and working collaboratively with cross-functional teams to influence business strategy and product development.\nKey Responsibilities\nAnalyze Data: Perform exploratory data analysis on diverse educational datasets to identify trends, patterns, and student learning behaviors.\nDevelop Models: Design, build, and deploy machine learning models to address business needs such as predicting student success, personalizing content, and classifying user engagement.\nGenerate Insights: Translate complex findings into actionable insights and communicate them effectively to both technical and non-technical stakeholders through reports and visualizations.\nCollaborate: Partner with product, engineering, and curriculum teams to identify opportunities for data-driven features and to support their initiatives.\nData Wrangling: Clean, process, and transform raw data from multiple sources into usable formats for analysis and modeling.\nMaintain & Improve: Monitor the performance of existing models and statistical processes, making improvements as needed to ensure accuracy and efficacy.\nRequired Qualifications & Skills:\nExperience: 2-6 years of professional experience in a data science or related analytical role.\nEducation: Bachelor's degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related discipline.\nProgramming Skills: Strong proficiency in Python or R for data analysis and modeling.\nDatabase Knowledge: Solid experience with SQL for querying and manipulating large datasets.\nMachine Learning: Hands-on experience with core machine learning concepts and libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Keras).\nStatistical Foundation: A firm understanding of statistical principles and hypothesis testing.\nCommunication: Excellent verbal and written communication skills, with the ability to present complex results clearly and concisely.\nPreferred Qualifications:\nMaster's or Ph.D. in a relevant quantitative field.\nExperience with cloud platforms like AWS, Google Cloud Platform (GCP), or Azure.\nFamiliarity with big data technologies such as Spark or Hadoop.\nExperience with data visualization tools like Tableau, Power BI, or Matplotlib/Seaborn.\nProven experience taking a data science project from conception to production.\nPrior experience in the EdTech (Education Technology) industry.\nJob Type: Full-time\nBenefits:\n401(k)\n401(k) matching\nDental insurance\nEmployee assistance program\nFlexible schedule\nHealth insurance\nLife insurance\nPaid time off\nProfessional development assistance\nRelocation assistance\nTuition reimbursement\nVision insurance\nWork Location: In person\nPay: $115,599.30 - $139,216.36 per year\nWork Location: In person","datePosted":"2026-08-10T15:11:02.247Z","dateModified":"2026-08-10T15:11:02.247Z","hiringOrganization":{"@type":"Organization","name":"Edurechtechnoogy","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Landers","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"86455ccddafe37ce8ae493d1"},"url":"https://jobsearcher.com/jobs/86455ccddafe37ce8ae493d1"}}