{"id":1988534,"url":"https://alion.io/job/actionet-sr-data-scientist","title":"Sr. Data Scientist","company":{"id":3882890,"name":"ActioNet","domain":"actionet.com","url":"https://alion.io/company/actionet","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jobvite","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":91000,"max_usd":200000,"period":"year","method":"global_role_seniority_cell","sample_n":1839},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"Ansible","optional":true},{"name":"AWS Lambda","optional":true},{"name":"BigQuery","optional":true},{"name":"CI/CD","optional":true},{"name":"Confluence","optional":true},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"GitHub","optional":true},{"name":"GitLab CI","optional":true},{"name":"Google BigQuery","optional":true},{"name":"HPC","optional":true},{"name":"ISO 27001","optional":true},{"name":"Jenkins","optional":true},{"name":"Jira","optional":true},{"name":"Kanban","optional":true},{"name":"Kubernetes","optional":true},{"name":"MySQL","optional":true},{"name":"Oracle","optional":true},{"name":"PostgreSQL","optional":true},{"name":"SAS","optional":true},{"name":"Scrum","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-10-07T04:10:06Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-10T21:19:58Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Description\nSenior Data Scientist\nRemote, United States\nDescription\nActioNet has an exciting opportunity for a Senior Data Scientist to join our team to lead digital transformation projects to develop and implement future mission-critical enterprise data analytics and production systems for the nation’s premiere source of statistical data products.\nThe Senior Data Scientist will provide full lifecycle data management including the design of highly scalable cloud-native architectures to support automated dynamic data collection, integration, storage, transformation, harmonization, analysis, reporting and dissemination needs. This includes providing advanced subject matter expertise in AI/ML, data modeling, statistics, and data privacy protection. This role demands expertise in Python and involves building complex pipelines from scratch, managing data flow within the AWS ecosystem, and conducting rigorous testing to ensure accuracy and completeness, consistency, and quality of all outputs. This position requires a leader, innovator and problem-solver with solid data science, statistical, and programming experience. This position also requires experience developing and designing new projects and solutions, coordinating projects between multiple teams with many stakeholders in a pro-active, enthusiastic communication style.\nThis position is REMOTE.\nFederal position requires Public Trust. Candidates must be US Citizens to be eligible.\nResponsibilities:\nServe as the technical authority for enterprise and solution-level data architecture, guiding the design and modernization of complex application ecosystems.\nCollaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver tailored data solutions.\nAssess legacy and on-premises data environments and define cloud migration and modernization strategies including rehost, re-platform, refactor, and cloud-native redesign\nDefine target-state data architectures that support front-end applications, API platforms, enterprise databases, queueing systems, scalable computation engines, and analytical services.\nDevelop efficient data processing and transformation workflows to support analytics and reporting needs. Define architectures for computation engines that execute Python-based analytical workloads and large-scale data processing.\nArchitect data platforms integrating RDBMS and cloud-native object storage for large-scale transactional and analytical workloads and secure AWS-based data infrastructure leveraging EMR, Apache Spark, and PySpark.\nLead the architectural design of microservices-based data platforms emphasizing API-first integration, loose coupling, stateless and stateful service separation, and elastic scalability.\nLead testing, evaluation, and presentation of technological and/or methodological alternatives and recommend improvements.\nImplement processes for data cleaning, transformation, and validation to ensure data accuracy, consistency, and compliance with security and privacy policies. \nDesign, build, and maintain data pipelines and automated extract, transform, load (ETL) processes using tools like Python, R, and platform-specific environments such as Jupyter Notebooks.\nIntegrate disparate structured and unstructured data from APIs, databases, and cloud storage into unified datasets utilizing ETL patterns, frameworks, query techniques. \nDevelop dashboards, visualizations, and analytical products to support operational decision-making.\nDevelop metrics to evaluate statistical accuracy and code performance.\nOptimize code through advanced algorithmic concepts to facilitate more efficiency.\nProvide full lifecycle assistance in deploying, optimizing, maintaining complex code with data processing routines running in development, test, and production.\nRequirements:\n5+ years of experience as a Data Scientist, Data Engineer, Backend Software Engineer, or similar.\nBachelor’s degree from an accredited college or university with a major in computer science, statistics, mathematics, economics, or related field.\nStrong skills in Python, R, and SQL.\nProficient in handling large-scale data projects involving data integration, cleaning, ETL, analysis, aggregation, tabulation, and reporting.\nExperience with data privacy protection and related statistical methodologies is a plus.\nExperience developing and implementing data reliability, efficiency, and quality checks and processes.\nExperience leveraging AWS services (e.g., S3, EMR, Glue, Lambda, Athena, Redshift, SageMaker, QuickSight) to build and deploy data solutions in a cloud-native environment.\nExperience with structured and unstructured databases (such as Oracle, PostGreSQL, MySQL, Athena, Redshift, MongoDB etc).\nExperience working in an Agile organization using Scrum, Kanban, Jira, Confluence, and SAFe.\nExperience with GitHub, Subversion, or other source control systems.\nExperience managing, testing, and deploying software components within SDLC.\nKnowledge of DevOps practices and tools (e.g., Jenkins, GitLab CI/CD).\nExcellent communication and teamwork skills.\nDemonstrated understanding of project management, schedules, and how to estimate the level of effort for development tasks.\nExperience evaluating proposed systems and recommending improvements; Strong skills preparing and presenting design/architectural documents to clients.\nRequires a Public Trust - must be US Citizen to be eligible. \nPreferred Qualifications:\nExperience with and interest in AI/ML, statistics, data modeling, and advanced math highly preferred.\nExperience with SAS, Apache Spark, PySpark preferred.\nExperience with Optimization Theory or Gurobi model development preferred, but not required. \nExperience with data platforms such as Cube, Athena, Redshift, Databricks, Palantir, Snowflake, Google BigQuery.\nFamiliarity with distributed high-performance computing (HPC) and parallel processing. \nFamiliarity with demographic, economic, longitudinal, and geospatial data sources and structures. \nExperience with microservices architecture and containerization (e.g., Docker, Ansible, Kubernetes).\nActioNetis a CMMI-DEV Level 4, CMMI-SVC Level 4, ISO 20000, ISO 27001, ISO 9001, HDI-certified, woman-owned IT Solutions Provider with strong qualifications and expertise in Agile Software Engineering, Cloud Solutions, Cyber Security, and IT Managed Services. With 25+ years of stellar past performance, ActioNetis the premier Trusted Innogrator!\nCore Capabilities:\nAdvanced and Managed IT Services\nAgile Software Development\nDevSecOps\nCybersecurity\nHealth IT\nC4ISR & SIGINT\nData Center Engineering & Operations\nEngineering & Installation\nWhy ActioNet?\nAt ActioNet, our Passion for Quality is at the heart of everything we do:\nCommitment to Employees: We are committed to making ActioNeta great place to work and continue to invest in our ActioNeters.\nCommitment to Customers: We are committed to our customers by driving and sustaining Service Delivery Excellence.\nCommitment to Community: We are committed to giving back to our community, helping others, and making the world a better place for our next generation.\nActioNetis proud to be named a Top Workplace for the eleventh year in a row (2014 - 2024). We have a 98% customer retention rate. We are passionate about the inspirational missions of our customers, and we entrust our employees and teams to deliver exceptional performance to enable the safety, security, health, and well-being of our nation.\nWhat's in It ForYou?\nAs an ActioNeter, you get to be part of an exceptional team and a corporate culture that nurtures mutual success for our customers, employees, and communities. We give you the tools to be successful; all you need to do is bring your best ideas, your energy, and a desire to develop your skills, experience, and career. Are you ready to make a difference?\nActioNetis an equal-opportunity employer and values diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\nFull-Time Employees are eligible to participate in our ActioNet’sBenefits Program:\nMedical Insurance\nVision Insurance\nDental Insurance\nLife and AD&D Insurance\n401(k) Savings Plan\nEducation and Professional Training\nFlexible Spending Accounts (FSA)\nEmployee Referral and Merit Recognition Programs\nEmployee Assistance and Identity Theft Protection\nPaid Holidays: 11 per year\nPaid Time Off (PTO)\nDisability Insurance","description_format":"text","description_chars":8492,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":["Dental insurance","Health insurance","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Information Technology","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-10-07T04:10:06Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":29,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/actionet-sr-data-scientist","json_url":"https://alion.io/job/actionet-sr-data-scientist.json","meta":{"generated_at":"2026-10-11T00:13:14Z","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","counted_by":"address","units_charged":1,"used_today":133,"day_limit":5000,"remaining_today":4867,"minute_limit":60,"resets_at":"2026-10-12T00:00:00Z"}},"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":3882890},"rest":"https://alion.io/mcp/rest/get_company?id=3882890"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Factionet-sr-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%2Factionet-sr-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%2Factionet-sr-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/actionet-sr-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Factionet-sr-data-scientist"}]}