{"id":2823698,"url":"https://alion.io/job/tech-mahindra-senior-data-scientist","title":"Senior Data Scientist","company":{"id":5484,"name":"Tech Mahindra","domain":"techmahindra.com","url":"https://alion.io/company/tech-mahindra","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Rochester, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":102000,"max_usd":195000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1181},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Tableau","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true}],"status":"live","first_seen_at":"2026-10-18T19:37:32Z","employer_posted_date":"2026-10-18","last_verified_at":"2026-10-19T22:02:51Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Description\n\nSkill Set :\nHealth Analytics\n\nTotal Experience :\n7.00 to 10.00 Years\n\nNo of Openings :\n1\n\nJob Post Date :\n17/09/2026\n\nJob Expiry Date :\n30/10/2026\n\nDomain :\nIT\n\nLocation :\nROCHESTER [United States]\n\nJob Reference No :\n4107532\n\nJob Summary\nJob Title: Senior Data Scientist / Healthcare Analytics (CGM & Diabetes Insights)\nLocation: Remote\nYears of Experience: 7 10 Years\nThe pay range for this role is between $120K - $135K per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.\nJob Summary:\nWe are seeking a highly skilled Senior Data Scientist with a strong background in healthcare analytics, specifically in Continuous Glucose Monitoring (CGM) and diabetes insights. The ideal candidate will leverage their expertise to drive data driven decision making and improve patient outcomes through innovative analytics solutions. This role requires a deep understanding of health analytics, statistical modelling, and machine learning techniques.\nResponsibilities:\nDevelop and implement advanced analytical models to extract insights from healthcare data related to CGM and diabetes management.\nCollaborate with cross functional teams, including healthcare professionals, data engineers, and product managers, to identify key business questions and deliver actionable insights.\nUtilize statistical methods and machine learning algorithms to analyze large datasets, ensuring the accuracy and reliability of results.\nCommunicate findings and recommendations effectively to stakeholders through presentations and reports.\nStay current with industry trends and advancements in healthcare analytics, continuously seeking opportunities for innovation.\nMentor junior data scientists and contribute to the development of best practices within the analytics team.\nMandatory Skills:\nProven experience in health analytics, particularly in diabetes management and CGM technologies.\nStrong proficiency in statistical programming languages such as Python or R.\nExperience with data visualization tools (e.g., Tableau, Power BI) to present complex data insights clearly.\nSolid understanding of machine learning techniques and their application in healthcare.\nAbility to work with large datasets and perform data wrangling and preprocessing.\nPreferred Skills:\nExperience with electronic health records (EHR) and healthcare data standards.\nFamiliarity with cloud computing platforms (e.g., AWS, Azure) for data storage and processing.\nKnowledge of regulatory requirements and compliance in healthcare analytics.\nStrong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.\nQualifications:\nMaster's or Ph.D. in Data Science, Statistics, Computer Science, or a related field.\n7 -10 years of experience in data science or analytics, with a focus on healthcare.\nDemonstrated success in delivering impactful analytics projects in a healthcare setting.\nStrong problem-solving skills and a passion for improving healthcare outcomes through data.\nIf you are a driven and experienced data scientist with a passion for healthcare analytics, we encourage you to apply and join our team in making a difference in the lives of patients managing diabetes.\nTech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely based on their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodation also are available in the hiring process for applicants with disabilities. 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