{"id":3534560,"url":"https://alion.io/job/fyerx-data-scientist","title":"Data Scientist","company":{"id":4451325,"name":"FyerX","domain":"fyerx.com","url":"https://alion.io/company/fyerx","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":13500,"max_usd":31000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Power BI","optional":true},{"name":"Streamlit","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-30T17:10:28Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-04T12:09:36Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Position: Data Scientist\nLocation: Bangalore (On-site)\nExperience: 2-3 Years\nJob Overview:\nWe are looking for a Data Scientist with strong hands-on experience in Python, SQL, classical machine learning, and business analytics. The ideal candidate should be comfortable working with relational data, performing statistical analysis, developing machine learning models, and translating business requirements into actionable analytical solutions.\nThe role primarily focuses on classical machine learning, data analysis, and business-oriented problem-solving rather than Generative AI or LLM-based solutions.\nKey Responsibilities:\nPerform exploratory data analysis (EDA) and statistical analysis on structured and relational datasets.\n\nDevelop, implement, and evaluate classical machine learning models.\n\nUse Python libraries to process, analyse, and interpret data.\n\nWrite SQL queries to extract, manipulate, and analyse business data.\n\nApply statistical techniques, hypothesis testing, and analytical methods to solve business problems.\n\nTranslate business requirements into analytical solutions and actionable insights.\n\nEnsure data quality, governance, and compliance standards.\n\nPresent findings through effective data storytelling and visualisation.\n\nRequirements\nMandatory Requirements:\n2-3 years of relevant experience in Data Science.\n\nStrong hands-on experience in Python, particularly Pandas, NumPy, and Scikit-learn.\n\nStrong SQL skills and experience working with relational databases.\n\nGood understanding of applied statistics, hypothesis testing, and exploratory data analysis (EDA).\n\nKnowledge of classical machine learning algorithms and their practical applications.\n\nAbility to understand business problems and translate them into analytical solutions.\n\nBasic understanding of data governance, data quality, and compliance.\n\nStrong communication and data storytelling skills.\n\nGood to Have:\nExperience with Power BI or Tableau.\n\nBasic exposure to Streamlit.\n\nCandidate Preferences:\nImmediate joiners or candidates who can join within 30 days.\n\nCandidates with relevant classical ML and business analytics experience.\n\nCandidates primarily focused on GenAI or 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