{"id":1525882,"url":"https://alion.io/job/hiringhood-data-scientist-2","title":"Data Scientist","company":{"id":3836002,"name":"Hiringhood","domain":"hiringhood.ai","url":"https://alion.io/company/hiringhood","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":null,"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":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Statsmodels","optional":false},{"name":"Tableau","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"AWS Lambda","optional":true}],"status":"live","first_seen_at":"2026-09-30T12:08:14Z","employer_posted_date":null,"last_verified_at":"2026-09-30T12:08:14Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"About the Role:\n\nWe're looking for a Data Scientist to build the analytics and data science foundation for our ordering platform. You'll make the journey of orders from intake to result delivery visible, predictable, and self-correcting. This is a greenfield effort where you will deliver a self-sustaining analytics and data science layer.\n\nWhat You'll Do:\n\n- Define and build the metrics framework for the digital ordering pipeline.\n\n- Design and deliver dashboards tracking order volume, throughput, turnaround times, error rates, and system stability.\n\n- Build predictive models to forecast order failures, volume trends, and capacity needs.\n\n- Develop automated anomaly detection to surface pipeline issues.\n\n- Apply statistical methods for root cause analysis.\n\n- Partner with engineering teams to instrument data collection.\n\n- Translate complex technical findings into clear narratives for leadership.\n\n- Investigate ad-hoc data questions and document metric definitions and model logic.\n\nRequirements:\n\n- 8+ years of experience in a data scientist, ML engineer, or advanced analytics role.\n\n- Strong foundation in statistics (hypothesis testing, regression, time series, Bayesian methods).\n\n- Advanced SQL skills and proficiency in Python or R.\n\n- Experience with ML libraries (scikit-learn, statsmodels, pandas, NumPy).\n\n- Experience with AWS data/ML services (SageMaker, Redshift, Athena, Glue, QuickSight).\n\n- Hands-on experience with Tableau.\n\n- Demonstrated ability to define metrics frameworks and build dashboards from scratch.\n\n- Experience building anomaly detection or predictive models in production.\n\n- Strong communication skills and experience synthesizing data from disparate sources.\n\nGood to Have:\n\n- Familiarity with healthcare, diagnostics, or lab operations.\n\n- Experience with operational analytics and real-time/streaming analytics (Kinesis, Lambda).\n\nSkills\nData Scientist, SQL, Python, Tableau, AWS, R, Data Analytics, Data Science","description_format":"text","description_chars":1964,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketplaces","Festivals","Freelance & Talent Marketplaces"],"lifecycle":[{"event":"open","at":"2026-09-30T14:00:00Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":30,"reasons":["seen:0","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/hiringhood-data-scientist-2","json_url":"https://alion.io/job/hiringhood-data-scientist-2.json","meta":{"generated_at":"2026-10-01T17:51:54Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":50,"day_limit":5000,"remaining_today":4950,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}