{"id":2975205,"url":"https://alion.io/job/fugentex-solutions-data-scientist-supply-chain-analytics","title":"Data Scientist (Supply Chain Analytics)","company":{"id":3806667,"name":"FuGenTex Solutions","domain":"fugentex.com","url":"https://alion.io/company/fugentex-solutions","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"WP Job Openings","truth_index":{"grade":"D","score":53,"open_postings":117,"ghost_share":0.778,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":43000,"period":"year","method":"role_seniority_country_cell","sample_n":77},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"CI/CD","optional":true},{"name":"Jenkins","optional":true},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-04-21T06:46:04Z","employer_posted_date":"2026-04-21","last_verified_at":"2026-10-22T17:30:32Z","board_verified":true,"closed_at":null,"days_open":184,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":183},"description":"Location: Remote\nExperience: 7+ Years\nEmployment Type: Contract\nRole Overview\nWe are looking for an experienced Data Scientist to deliver critical insights and intelligence to cross-functional Supply Chain teams through scalable data science solutions.\nYou will collaborate with business stakeholders, SMEs, and technology teams to translate complex business problems into data-driven solutions. The role requires a strong mix of business understanding, analytical thinking, and programming expertise, along with the ability to clearly communicate insights.\nData Scientist will deliver critical insights and intelligence to cross-functional Supply Chain teams through scalable data science solutions. This individual will work with cross-functional subject matter experts (SMEs) to deeply understand business context and key business questions / opportunities, as well as collaborate with other teams (e.g., Digital Capability teams, PMO, IT delivery, Data Engineering, Data Quality, Data Management & Governance, ML Ops) to ensure delivery of scalable data science solutions.\nThe ideal candidate for this role will demonstrate a combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of the project and excellent written and communications skills to report back the findings in a clear, structured manner\nMajor Duties & Responsibilities\nWork with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions\nCreate Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects\nInfluence machine learning strategy for Digital programs and projects\nMake solution recommendations that appropriately balance speed to market and analytical soundness\nExplore design options to assess efficiency and impact, develop approaches to improve robustness and rigor\nDevelop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow)\nFormulate model-based solutions by combining machine learning algorithms with other techniques such as simulations.\nDesign, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.\nCreate algorithms to extract information from large, multiparametric data sets.\nDeploy algorithms to production to identify actionable insights from large databases.\nCompare results from various methodologies and recommend optimal techniques.\nDesign, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.\nDevelop and embed automated processes for predictive model validation, deployment, and implementation\nWork on multiple pillars of AI including cognitive engineering, conversational bots, and data science\nEnsure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment\nProvide guidance and leadership to more junior data scientists, managing processes and flow of work, vetting designs, and mentoring team members to realize their full potential\nLead discussions at peer review and use interpersonal skills to positively influence decision making\nProvide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices\nFacilitate cross-geography sharing of new ideas, learnings, and best-practices\nRequired Qualifications\nBachelor of Science or Bachelor of Engineering at a minimum.\n7 years of work experience as a Data Scientist\nA combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project\nAdvanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala)\nGood hands-on skills in both feature engineering and hyperparameter optimization\nExperience producing high-quality code, tests, documentation\nExperience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks\nUnderstanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies\nProficiency in statistical concepts and ML algorithms\nGood knowledge of Agile principles and process\nAbility to lead, manage, build, and deliver customer business results through data scientists or professional services team\nAbility to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results\nSelf-motivated and a proactive problem solver who can work independently and in teams\nPreferred Qualifications\nExperience working in one or multiple supply chain functions (e.g., procurement, planning, manufacturing, quality, logistics) is strongly preferred\nExperience in applying AI/ML within a CPG or Healthcare business environment is strongly preferred\nExposure to Pyomo, Mosel, truck load optimization, multi-echelon inventory optimization (MEIO)\nExperience in NLP, Vision, and/or AR / VR\nExperience in creating CI/CD pipelines for deployment using Jenkins.\nExperience implementing MLOPs framework along with understanding of data security implementation on ML models\nHands on experience developing ML driven models","description_format":"text","description_chars":5683,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Supply Chain","DevOps & Platform Engineering","Cloud Consulting & Migration"],"lifecycle":[{"event":"open","at":"2026-10-21T04:22:20Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long 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