{"id":1735791,"url":"https://alion.io/job/simpson-thacher-bartlett-llp-data-scientist","title":"Data Scientist","company":{"id":1842699,"name":"Simpson Thacher & Bartlett","domain":"stblaw.com","url":"https://alion.io/company/stblaw","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":20,"ghost_share":0,"stale_share":0.9,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","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":150000,"max":175000,"currency":"USD","period":"year","gross":null,"usd_annual":175000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BERT","optional":false},{"name":"Git","optional":false},{"name":"Hugging Face","optional":false},{"name":"Llama","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NLP","optional":false},{"name":"NLTK","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Qwen","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Seaborn","optional":false},{"name":"spaCy","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-10-01T00:00:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-12T05:45:47Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"Job Summary & Objectives\nSimpson Thacher’s Data Scientist will play a key role in delivering insights to the Firm’s leadership, legal practices, Knowledge Department and other administrative functions. To do so, this expert will use a mix of statistics, machine learning, deep learning and natural language processing methods to derive meaning, build models and create systems that capitalize on both structured and unstructured data. This position will play a crucial role in pushing the Firm’s artificial intelligence (AI) efforts forward and will work on some of the most advanced projects in the legal industry.\nThe Data Scientist position sits within the Firm’s Data Science Team, which is a part of the Firm’s Knowledge & Innovation Department. This position will work closely with lawyers and legal support professionals across practices, as well as other technical resources within the Firm. This role requires creative problem solving, analytical rigor, technical skill and an appreciation for the business and practice of law.\nEssential Job Duties & Responsibilities\nSupport legal teams and relevant operational staff in delivering on opportunities to use data to drive decision-making and improve the efficiency and effectiveness of the Firm’s client representations\nCollaborate with Firm functional departments (e.g., Finance, Talent, Business Development, IT) to analyze data and develop solutions to support operational objectives\nDevelop regression and classification models using established and emerging data science methodologies\nChain, fine-tune and deploy pre-trained language models (e.g., BERT, Llama, Qwen, etc.) to optimize performance on a range of NLP tasks, including text classification, named entity recognition, and generative tasks such as summarization, clause and document generation, and question-answer exchanges\nDesign and deploy document segmentation and embedding approaches to facilitate information retrieval and retrieval augmented generation (RAG)\nConduct advanced quantitative research, using machine learning (ML) and natural language processing (NLP) techniques to understand patterns in large volumes of data, identify relationships, detect data anomalies and classify data\nConfigure practice-specific AI workflows and language technologies, which may require complex pipelines, prompt engineering, prompt chaining, and text operations\nDesign and deploy highly visual reports and user interfaces that surface quantitative insights in forms that are fit-for-purpose, modern and easily accessible to non-technical business professionals\nStay current with the latest advancements in LLMs, NLP, deep learning and ML research, implementing cutting-edge techniques and incorporating them into production models as appropriate\nDocument development processes, codebase, and best practices to facilitate knowledge sharing and maintain a well-organized, reproducible environment\nPartner with other technical resources to refine data pipelines for recurring classes of analysis and data-driven solutions\nHandle projects on request under the direction of the CKIO and other executive staff\nEducation\nA bachelor’s degree required, preferably in data science, mathematics, statistics, computer science, engineering, finance or a related field\nMaster’s degree in data science, computer science, statistics, computational linguistics or engineering preferred\nPrior coursework in deep learning, natural language processing, or information retrieval a significant plus\nSkills and Experience\n2+ years in a data science, machine learning engineering, artificial intelligence or equivalent role, or a PhD in a related field\nHighly proficient with statistical programming (e.g., Python, R) and databases (e.g., SQL, Pinecone)\nProven experience developing and validating linear and non-linear regression and classification models\nExpertise in data transformation, data science and visualization libraries (e.g., pandas, scikit-learn, matplotlib, Seaborn)\nExperience with natural language processing and related libraries (e.g., Hugging Face’s Transformers, spaCy, NLTK) preferred\nAbility to design and develop object-oriented machine learning systems beyond Jupyter notebooks a plus\nSolid understanding of deep learning frameworks such as TensorFlow or PyTorch a plus\nProficiency with version control systems such as Git or equivalent tools for code management and collaboration\nAble to translate business problems to technical logic and practical solutions\nAble to communicate complex results clearly to a non-technical audience\nProactively develops and maintains technical knowledge in emerging data science areas\nExperience in the legal field is a significant plus\nSalary Information\nNY Only: The estimated base salary range for this position is $150,000 to $175,000 at the time of posting.\nThe actual salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location in which the applicant lives and/or from which they will be performing the job. This role is exempt meaning it is not overtime pay eligible.\nSimpson Thacher will not sponsor applicants for work visas for this position.\nPrivacy Notice\nFor information about how Simpson Thacher & Bartlett LLP collects and processes your personal information, please refer to our Privacy Notice available at https://www.stblaw.com/other/privacy-notice.\nSimpson Thacher & Bartlett is committed to a collegial work environment in which all individuals are treated with respect and dignity. The Firm prohibits discrimination or harassment based upon race, color, religion, gender, gender identity or expression, age, national origin, citizenship status, disability, marital or partnership status, sexual orientation, veteran’s status or any other legally protected status. This Policy pertains to every aspect of an individual’s relationship with the Firm, including but not limited to recruitment, hiring, compensation, benefits, training and development, promotion, transfer, discipline, termination, and all other privileges, terms and conditions of employment.\n#LI-Hybrid","description_format":"text","description_chars":6271,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Financial Services","Professional Services"],"lifecycle":[{"event":"open","at":"2026-10-03T01:00:12Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 82 · green card filings: 5","filings_12m":82,"filings_prev_12m":71,"green_card_filings_12m":5,"median_offered_wage_usd":268822,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":60,"band":"ok","label":"Likely open","p_open":1,"p_active":0.596,"p_room":1,"age_days":9,"expected_fill_days":29,"reasons":["conf:0","stale_co","velocity","win:early","comp:junior"],"computed_at":"2026-10-10T05:45:15Z"},"pay":{"stated_usd_annual":175000,"is_top_pay":true},"html_url":"https://alion.io/job/simpson-thacher-bartlett-llp-data-scientist","json_url":"https://alion.io/job/simpson-thacher-bartlett-llp-data-scientist.json","meta":{"generated_at":"2026-10-12T06:16:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":10093,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1842699},"rest":"https://alion.io/mcp/rest/get_company?id=1842699"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsimpson-thacher-bartlett-llp-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsimpson-thacher-bartlett-llp-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsimpson-thacher-bartlett-llp-data-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/simpson-thacher-bartlett-llp-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsimpson-thacher-bartlett-llp-data-scientist"}]}