{"id":4309620,"url":"https://alion.io/job/deloitte-senior-data-scientist-engineer-sfl-scientific","title":"Senior Data Scientist Engineer - SFL Scientific","company":{"id":272,"name":"Deloitte","domain":"deloitte.com","url":"https://alion.io/company/deloitte","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"A","score":100,"open_postings":15,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":128000,"max":252000,"currency":"USD","period":"year","gross":null,"usd_annual":252000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"TensorRT","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-11-14T09:48:40Z","employer_posted_date":null,"last_verified_at":"2026-11-14T09:48:40Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Deloitte’s SFL Scientific team is hiring a Senior Data Scientist to work directly with clients on AI strategy and the design and development of data science solutions. The role includes exploratory analysis, building and deploying AI/ML models, leading client initiatives, and developing novel tools, products, and AI services.\n\nResponsibilities\nGuide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production\nLead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives\nResearch and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization\nValidate AI models and algorithm via code reviews, unit, and integration tests\nSupport prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives\nCollaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives\n\nSkills\nMaster's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)\n3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)\n3+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments\n3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow\n3+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads\nAbility to work independently and collaborate as part of a team\nEffective written and verbal communication skills\nMeticulous attention to detail and quality of work product\nAbility to build and sustain professional relationships\nAbility to lead projects or workstreams\nAbility to manage and prioritize multiple tasks in a fast-paced and dynamic environment\nStrong interpersonal skills and professional demeanor\nAbility to meet deadlines\nAbility to provide clear guidance to others\n2+ years of experience working in a client-facing, consulting environment\n2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions\n1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services (i.e., LangChain, LangGraph, MCP, etc.)\n1+ year of experience with AWS Sagemaker or AWS ML Studio\n\nBenefits\nYou may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.\n\nCompany Overview\nDeloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. It was founded in 1845, and is headquartered in London, England, GBR, with a workforce of 10001+ employees. Its website is https://www2.deloitte.com.\n\nCompany H1B Sponsorship\nDeloitte has a track record of offering H1B sponsorships, with 4211 in 2026, 6871 in 2025, 4911 in 2024, 5604 in 2023, 8090 in 2022, 5993 in 2021, 10388 in 2020. 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