{"id":3579998,"url":"https://alion.io/job/raydar-applied-data-scientist","title":"Applied Data Scientist","company":{"id":4478753,"name":"Raydar","domain":"raydar.com","url":"https://alion.io/company/raydar-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":180000,"max":240000,"currency":"USD","period":"year","gross":null,"usd_annual":240000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-09-30T00:00:00Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-11-03T03:24:24Z","board_verified":true,"closed_at":null,"days_open":34,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":34},"description":"About the company\nOur client is a fast-growing technology company.\nThe role\nRaydar is recruiting for this role on behalf of our client. Take responsibility for a handful of client relationships, shaping analytical studies and delivering automated machine learning workflows into production. Serve as the go-to analytical expert when meeting client stakeholders, and relay recurring needs to the product team.\nWhat you'll do\n- Lead a small set of client engagements from initial data onboarding and pilot planning through live operation.\n- Plan and justify analytical studies that show clear business value.\n- Create automated, client-specific workflows that train models, generate scores and deliver results on a regular basis.\n- Take part in working sessions with client analytics, subject-matter and IT groups to convert business questions into data solutions.\n- Notice recurring themes across clients and bring the most valuable needs to product planning.\nRequirements\nWhat we're looking for\n- At least 4 years of experience in data science or a related discipline.\n- Confident client-facing skills, including leading working sessions alone and standing behind your approach when challenged.\n- A track record of managing client relationships and speaking directly with customers.\n- Experience planning and carrying out studies that produced measurable business results.\n- Solid production Python skills, including pandas, scikit-learn and workflow orchestration: you deliver working code, not just notebooks.\n- Hands-on work with large-scale distributed data processing for machine learning, using Spark.\n- Background in healthcare or life sciences data, such as claims, health records, lab data or population health analytics.\n- Skill in describing model behavior clearly and assessing results candidly.\n- Experience delivering a sophisticated data or machine learning solution from design to launch.\n- A self-starting mindset and readiness to take on varied responsibilities in a lean, fast-moving setting.\nBonus points\n- Prior experience at an early-stage or rapidly scaling startup.\nBenefits\nCompensation and benefits\n- Base salary: USD 180,000 to 240,000 per year\n- Equity\n- Performance bonus\nLocation and work model\n- Remote (US)\n- 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