{"id":3274798,"url":"https://alion.io/job/waayupay-data-scientist","title":"Data Scientist","company":{"id":6184,"name":"WaayuPay","domain":"waayupay.com","url":"https://alion.io/company/waayupay","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Navi Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":13000,"max_usd":34000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine 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of data-driven initiatives.\nMaintain clear documentation, reproducible code, and dashboards to track model performance and business outcomes.\nContinuously explore new datasets, tools, and methodologies to improve analytics capabilities.\nEnsure data quality, integrity, and governance across all projects.\n\nTop 3 Daily Tasks: \nAnalyze large datasets to extract insights, identify patterns, and support decision-making.\nDevelop predictive and prescriptive models using machine learning, statistical, and optimization techniques.\nCollaborate with Product, Engineering, and Business teams to implement data-driven solutions and track their impact.\n\nRequirements: \nSomeone with strong experience in data analysis, statistical modeling, and machine learning.\nA professional comfortable working with large, complex datasets and building actionable insights.\nSomeone with hands-on experience in Python, R, SQL, and data visualization tools.\nDetail-oriented, organized, and passionate about building robust, scalable, and reproducible models.\nExcellent in communication, able to translate technical findings into business recommendations.\nProactive and comfortably manage multiple analytics projects simultaneously while ensuring alignment across teams.\n\nMinimum Work Experience Required: \n2-5 years of hands-on experience in data science or analytics roles.\nProven experience in building and deploying machine learning models.\n\nTop 5 Skills You Should Possess: \nStrong programming skills in Python (or R) and experience with libraries like Pandas, NumPy, scikit-learn, or TensorFlow.\nProficiency in SQL and working with relational and non-relational databases.\nSolid understanding of statistics, hypothesis testing, and data modeling techniques.\nExperience with data visualization tools like Tableau, Power BI, or Matplotlib/Seaborn.\nAbility to work independently, prioritize tasks, and communicate findings clearly to non-technical stakeholders.\nSkills\nmachine learning, 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