{"id":1284857,"url":"https://alion.io/job/nyb-infotech-senior-data-scientist","title":"Senior Data Scientist","company":{"id":3809025,"name":"NYB Infotech","domain":"nybinfotech.com","url":"https://alion.io/company/nyb-infotech","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","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":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-08-19T08:01:01Z","employer_posted_date":null,"last_verified_at":"2026-08-19T08:01:01Z","board_verified":false,"closed_at":null,"days_open":44,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":44},"description":"Role Overview :\n\nThis role requires a strong understanding of manufacturing processes, energy systems, industrial time-series data, and advanced analytics. The successful candidate will work closely with process engineers, mill leadership, energy managers, and internal data scientists to drive adoption of AI-powered optimization recommendations across Kimberly-Clark's manufacturing network.\n\nResponsibilities :\n\n- Collaborate with the internal Data Science team to scale and deploy Energy Optimization AI solutions across multiple mills.\n\n- Analyse manufacturing processes, energy consumption patterns, and operational constraints to identify optimization opportunities.\n\n- Develop and enhance predictive, prescriptive, and optimization models focused on reducing energy consumption and improving operational efficiency.\n\n- Leverage PI Historian (AVEVA PI System) and other manufacturing data sources to generate actionable insights and recommendations.\n\n- Define modelling strategies based on business objectives, process understanding, and site-specific operating conditions.\n\n- Build analytical frameworks that can be replicated and adapted across different manufacturing facilities.\n\n- Partner with business stakeholders, process engineers, and operations teams to drive adoption and value realization.\n\n- Conduct root cause analysis and identify key operating parameters influencing energy performance.\n\n- Monitor model performance and continuously improve solution accuracy, scalability, and business impact.\n\n- Communicate complex analytical findings to both technical and non-technical stakeholders.\n\nRequirements:\n\n- Bachelor's or Master's degree in Data Science, Engineering, Statistics, Applied Mathematics, or a related field.\n\n- 10+ years of experience in Data Science, Advanced Analytics, or AI within manufacturing environments.\n\n- Proven experience working with PI Historian (OSIsoft/AVEVA PI System) and industrial time-series data.\n\n- Strong experience developing optimization models for manufacturing operations, with a focus on energy efficiency and sustainability use cases.\n\n- Demonstrated ability to understand business problems and translate them into effective analytical and modeling solutions.\n\n- Experience working directly with manufacturing operations, process engineers, and business stakeholders.\n\nTechnical Skills:\n\n- Machine Learning and Advanced Analytics, Statistical Modeling and Predictive Analytics, Optimization Techniques and Prescriptive Analytics.\n\n- Python, SQL, Databricks and Azure.\n\n- Industrial Data Analytics and Process Monitoring.\n\n- Root Cause Analysis and Process Optimization.\n\nPreferred Experience:\n\n- Exposure to sustainability, decarbonization, and energy management initiatives will be an added advantage.\n\n- Experience working within cross-functional business, engineering, and analytics teams.\n\nSkills\nData Science, Machine Learning, Python, SQL, Aveva PI, Predictive Modeling, Analytics, Data Scientist","description_format":"text","description_chars":2966,"description_truncated":false,"requirements":{"experience_years_min":10,"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":["Information Technology","Software","Mobile App Development Services"],"lifecycle":[{"event":"open","at":"2026-09-26T04:00:00Z"}],"liveness":{"score":16,"band":"cold","label":"Long shot","p_open":0.6,"p_active":0.58,"p_room":0.45,"age_days":43,"expected_fill_days":24,"reasons":["seen:43","win:tail"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/nyb-infotech-senior-data-scientist","json_url":"https://alion.io/job/nyb-infotech-senior-data-scientist.json","meta":{"generated_at":"2026-10-03T02:08:53Z","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":2323,"day_limit":5000,"remaining_today":2677,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}