{"id":2219479,"url":"https://alion.io/job/improvix-technologies-data-scientist","title":"Data Scientist","company":{"id":4381109,"name":"Improvix Technologies","domain":"improvixtech.com","url":"https://alion.io/company/improvix-technologies","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"ADP","truth_index":{"grade":"B","score":75,"open_postings":8,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":100000,"max":150000,"currency":"USD","period":"year","gross":null,"usd_annual":150000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power Automate","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Splunk","optional":false},{"name":"SQL","optional":false},{"name":"Anthropic","optional":true},{"name":"CI/CD","optional":true},{"name":"OpenAI","optional":true},{"name":"OpenAI Codex","optional":true},{"name":"ServiceNow","optional":true},{"name":"UiPath","optional":true}],"status":"live","first_seen_at":"2026-09-17T15:56:00Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-14T07:33:32Z","board_verified":true,"closed_at":null,"days_open":26,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":26},"description":"Data Scientist\nLocation: Remote\nClearance Required: Secret\nOverview\nThe Data Scientist will design, develop, and operationalize advanced analytics solutions that drive data-informed decision-making across the organization. This role blends statistical modeling, data engineering, and visualization skills to turn complex datasets into actionable insights.\nThe position will work across the full analytics process, including data preparation, transformation, modeling, validation, reporting, and production support. The ideal candidate is comfortable working with large datasets, solving complex data problems, and partnering with both technical teams and business users. This is a fully remote position.\nKey Responsibilities\nBuild scalable data pipelines and analytics workflows using Databricks (PySpark, Delta Lake, notebooks).\nDevelop interactive dashboards and reports in Power BI, ensuring strong usability, accuracy, and performance.\nBuild and maintain Power BI data models and DAX measures to support reporting and analytical needs.\nWork with large and complex datasets and identify ways to improve query performance, processing time, and overall efficiency.\nPartner with business stakeholders to translate analytical needs into technical solutions.\nPerform exploratory data analysis, feature engineering, and model development using machine learning techniques.\nOptimize data models for reliability, governance, and reusability across teams.\nCollaborate with engineering teams to deploy analytics products into production environments.\nDocument processes, data definitions, and system logic for transparency and maintainability.\nSupport the team's active data migration from Splunk to Databricks, working across both platforms as needed.\nBuild and maintain API integrations with external platforms, including OAuth 2.0 authentication and token management, to support data ingestion.\nRequired Skills & Competencies\nStrong proficiency in Power BI for data modeling, DAX, report development, and visualization best practices.\nStrong experience with Databricks and distributed data processing (Spark).\nAdvanced SQL skills with experience querying, transforming, and optimizing large datasets.\nStrong Python skills for data analysis, transformation, automation, and analytics.\nPower Automate experience for building workflow automations; this is a core day-to-day tool for the team.\nExperience building and maintaining data pipelines and working with modern data architectures.\nUnderstanding of cloud data platforms and architectures, preferably Microsoft Azure.\nStrong presentation skills, with the ability to speak conversationally about projects, findings, and solutions rather than reading from slides, and to adjust technical depth for both highly technical stakeholders and non-technical leadership.\nStrong analytical mindset with the ability to interpret data trends and communicate clearly.\nExperience collaborating in cross-functional environments and managing competing priorities.\nAbility to adapt solutions and problem solve using the tools available.\nFamiliarity with AI applications and limitations in data science contexts, and experience integrating AI into daily work.\nPreferred / Bonus Skills\nExperience using JIRA for task management and reporting.\nExperience developing analytic solutions with models such as OpenAI, Anthropic, or Codex.\nFamiliarity with CI/CD workflows, DevOps practices, or automation tools.\nExposure to API integrations (including OAuth 2.0 authentication and token cycling), data governance frameworks, or DataOps methodologies.\nExposure to UiPath or other RPA platforms, and familiarity with ServiceNow for accessing hardware and other operational datasets.\nStrongly preferred: experience with Splunk (search, log analysis, operational analytics, or dashboard development). The team is in the middle of migrating from Splunk to Databricks, so comfort moving between both platforms is a significant plus.\nInterest or experience applying AI tools within analytics workflows (e.g., Power Automate AI Builder or similar AI-assisted platforms); the team is actively looking to expand AI adoption.\nEducation & Experience\nBachelor’s degree in Data Science, Computer Science, Statistics, Information Systems, or related field preferred, but not required for candidates with strong relevant experience.\n3+ years of experience in analytics, data engineering, or data science roles (or equivalent practical experience).\nActive Secret clearance required; candidates already holding a Secret may be considered for sponsorship to a higher-level clearance.\nSuccess Criteria\nDeliver high-quality dashboards and analytics with measurable business impact.\nImprove data accessibility and reliability through well-structured models and pipelines.\nAct as a trusted advisor for stakeholders seeking data-driven insights.\nMaintain confidence in reporting through strong validation, documentation, and data quality practices.\nWhy Improvix\nAt Improvix Technologies, we don’t just deliver IT solutions - we deliver mission success. Our teams support critical government programs by building secure, innovative, and scalable technology that enables agencies to operate more efficiently and securely.\nWe believe great technology starts with great people. That’s why we invest in our employees’ growth, well-being, and long-term success.\nOur benefits include:\nCompetitive compensation and performance-based incentives\n401(k) with company match\nThree weeks of paid annual leave that increases with tenure\nComprehensive medical, dental, and vision insurance\nLife insurance and disability coverage\nTransit and commuting benefits\nProfessional development and paid training opportunities\nAt Improvix, you’ll join a collaborative, mission-focused environment where your expertise drives meaningful impact.\nEqual Opportunity Employer\nImprovix Technologies, Inc. is an Equal Opportunity Employer and is committed to building a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by federal, state, or local law.\nImprovix is committed to providing reasonable accommodations to qualified individuals with disabilities during the application and employment process. If you require assistance or accommodation, please contact our Human Resources team.\nSecurity Clearance / Citizenship Requirements\nDue to the nature of our government contracts, U.S. citizenship may be required for certain positions, and some roles may require the ability to obtain and maintain a U.S. government security clearance.\nPay Transparency Statement\nIn accordance with applicable laws and regulations, Improvix Technologies will not discharge or otherwise discriminate against employees or applicants for discussing, disclosing, or inquiring about compensation.","description_format":"text","description_chars":6972,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":["Annual leave","Life insurance","Professional development","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-10T12:15:48Z"}],"visa":[],"liveness":{"score":65,"band":"ok","label":"Likely open","p_open":1,"p_active":0.86,"p_room":0.75,"age_days":26,"expected_fill_days":31,"reasons":["conf:5","win:late"],"computed_at":"2026-10-14T06:34:16Z"},"pay":{"stated_usd_annual":150000,"is_top_pay":true},"html_url":"https://alion.io/job/improvix-technologies-data-scientist","json_url":"https://alion.io/job/improvix-technologies-data-scientist.json","meta":{"generated_at":"2026-10-14T09:01:26Z","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":9873,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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":4381109},"rest":"https://alion.io/mcp/rest/get_company?id=4381109"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fimprovix-technologies-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%2Fimprovix-technologies-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%2Fimprovix-technologies-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/improvix-technologies-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fimprovix-technologies-data-scientist"}]}