{"id":3180467,"url":"https://alion.io/job/context-labs-data-scientist","title":"Data Scientist","company":{"id":1932276,"name":"Context Labs","domain":"contextlabs.com","url":"https://alion.io/company/contextlabs","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Houston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":98000,"max_usd":214000,"period":"year","method":"role_country_seniority_unknown","sample_n":3718},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false},{"name":"Delta Lake","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-23T21:19:56Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-31T06:19:20Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Data Scientist - Energy (Oil & Gas)\nHouston, TX (Hybrid)\nAbout this position:\nContext Labs is seeking an early-career Data Scientist to support the deployment of Context Labs’ Decarbonization as a Service™ platform, built on our Immutably™ Data Fabric technology.\nThis role sits at the intersection of data science, engineering, scientific computing, product development and real-world emissions domain application. You will work with complex, real-world energy and emissions data and collaborate with application engineers, data engineers, and product teams to translate engineering methodologies and research ideas into robust, scalable analytical capabilities.\nWe do not expect you to arrive knowing every technology, emissions methodology, or aspect of the energy industry. We seek strong quantitative reasoning, Python and SQL proficiency, and a self-driven curiosity to learn new technologies and own complex challenges. This position reports to the Data Science Architect.\nIn this role you will:\nWork with domain experts to understand engineering and emissions methodologies, assumptions, and requirements and translate them into computational solutions.\nDevelop, implement, validate, and document robust and reproducible emissions calculations and analytical methodologies.\nExplore complex customer datasets, understand their structure and meaning, identify data-quality issues, and investigate discrepancies.\nImplement scalable analytical workflows using Python, SQL, and PySpark, working with data engineers to move solutions into repeatable production workflows\nHelp generalize customer-specific calculations, research ideas, and analytical prototypes into reusable software and product capabilities.\nApply statistical methods to validate results, quantify uncertainty, and understand the limitations of available data and methodologies.\nWork within an ontology- and knowledge-graph-based framework to connect data to the entities, relationships, and concepts they represent.\nWrite maintainable, modular Python code and contribute through Git, code review, testing, and documentation.\nApply machine learning methods, including regression, classification, time-series analysis, and anomaly detection, when appropriate to the problem.\nCollaborate across Data Science, Data Engineering, Application Engineering, Product, R&D, and Customer Experience teams.\nWhat we’re looking for:\nRelevant professional experience in data science, scientific computing, engineering analytics, or related quantitative work. Candidates with an advanced degree and substantial applied research or project experience will also be considered.\nStrong Python and SQL skills, including experience developing maintainable, modular code beyond exploratory notebooks and working with complex, real-world datasets.\nStrong quantitative and analytical problem-solving skills, including comfort reasoning about equations, assumptions, data relationships, and statistical results.\nWorking knowledge of statistics, including distributions, descriptive statistics, regression, and statistical validation.\nExperience investigating messy or heterogeneous datasets, identifying data-quality issues, and developing defensible analytical approaches.\nFamiliarity with collaborative software-development practices such as Git, code review, testing, and documentation.\nStrong initiative and demonstrated ability to learn unfamiliar technical subjects, ask effective questions, seek out relevant expertise, and progressively take ownership of new problems.\nAbility to communicate analytical approaches, assumptions, and results clearly to technical and non-technical colleagues.\nBS or MS degree in Engineering, Physics, Applied Mathematics, Data Science, or another related quantitative scientific or technical discipline.\nBonus if you have:\nExperience working with energy, utilities, industrial, environmental, or emissions-related data, including greenhouse-gas or methane analytics.\nFamiliarity with engineering or physical-system concepts such as mass and energy balances, thermodynamics, or process modeling.\nExperience with PySpark, Spark, Delta Lake, or other distributed data-processing technologies.\nExperience with uncertainty quantification, Monte Carlo methods or implementing scientific, engineering, or regulatory calculation methodologies in software.\nKnowledge of ontologies, knowledge graphs, or semantic modeling.\nWhy you’ll like it here:\nContext Labs is collaborative at its core. You’ll work within your team and across the organization allowing for continuous learning and discovery.\nWe set goals that matter and provide value in all that we do, from building meaningful products to positively impacting carbon reduction and climate change.\nContext Labs’ mission is to transform complex data into continuously proven information. Powered by Immutably™, an innovative, trusted data fabric platform, our integrated solutions deliver context-driven insights that enable human networks to spot patterns, correlate trends - and reveal the ground truth hidden inside the world’s most complicated, persistent problems.\nWe understand that applying for a job can be intimidating. Applicants rarely meet every single job requirement, and we know there are many skills and backgrounds that will contribute to success in this role. If you’re interested in applying, please do so. If you come from an engineering or scientific background and have developed strong programming and data-analysis skills, we encourage you to apply even if your previous title has not been “Data Scientist.”\nContext Labs embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our products will be. Context Labs will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please contact Human Resources at .\nWho we are:\nContext Labs builds industrial AI data infrastructure for global markets, giving energy and industrial companies trusted data and AI outputs they can defend. Its platform turns fragmented operational and emissions data into continuously proven information, while sensitive data stays within each company’s own environment. Because the data is verified and the workflows validated, one platform can support any output, from carbon management and compliance to commercial use. The company grew out of research at MIT and is led by a team that helped build the internet at scale through earlier companies. Context Labs has offices in Amsterdam, Cambridge, Mass., and Houston, TX. Learn more at www.contextlabs.com.","description_format":"text","description_chars":6844,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Machine Learning","Industrial AI"],"lifecycle":[{"event":"open","at":"2026-10-23T21:19:56Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.897,"p_room":1,"age_days":7,"expected_fill_days":24,"reasons":["conf:3","velocity","win:early"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/context-labs-data-scientist","json_url":"https://alion.io/job/context-labs-data-scientist.json","meta":{"generated_at":"2026-10-31T06:39:48Z","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":9797,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":1932276},"rest":"https://alion.io/mcp/rest/get_company?id=1932276"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcontext-labs-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%2Fcontext-labs-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%2Fcontext-labs-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/context-labs-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcontext-labs-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3180467}},{"tool":"search_jobs","arguments":{"company":"contextlabs.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3180467},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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