{"id":2378288,"url":"https://alion.io/job/acuity-data-scientist","title":"Data Scientist","company":{"id":4409311,"name":"Acuity","domain":"myacuity.com","url":"https://alion.io/company/acuity-4","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":114000,"max_usd":218000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1089},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Kibana","optional":false},{"name":"MySQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Amazon EC2","optional":true},{"name":"AWS","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Databricks","optional":true},{"name":"ElasticSearch","optional":true},{"name":"Logstash","optional":true},{"name":"Pandas","optional":true}],"status":"live","first_seen_at":"2026-10-12T18:59:14Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-14T00:52:22Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Overview\nAcuity, Inc. seeks dynamic, self-motivated individuals with experience as a Data Scientist supporting the client with the requirements for new system capabilities, the extension and maintenance of bulk data pipeline and enhancements for multiple applications in the customers' cloud computing environment.\nWhy Acuity?\nWe’re building more than careers-we’re building a place people genuinely love to work. At Acuity, you’ll get:\nStrong work-life balance and a people-first culture\nCompetitive compensation + Health/Dental/Vision coverage\n401(k) with company match\nUp to $3,000 annually for training and certifications and up to $3,000 for degree seeking programs\nRecognized as a Best Places to Work (Washington Business Journal, 8+ years) Named a Top Workplace by The Washington Post (2022-2025)\nReady to grow with a team that invests in you? Learn more: www.myacuity.com\nWhy Acuity?\nAre you ready to use your expertise in the areas of IT Modernization, Data Enablement, and Hyperautomation to make a real difference? Join Acuity, Inc., a technology consulting firm that supports federal agencies. We combine industry partnerships and long-term federal experience with innovative technical leadership to support our customers’ critical missions.Qualifications\nRequired Skills:\nDemonstrated experience utilizing big data processing tech such as Spark, Pyspark, and Python.\nDemonstrated experience data mapping, extraction, transformation and loading.\nDemonstrated experience building analytic reports in tools such as CloudWatch and Kibana.\nDemonstrated experience processing and converting of OS and Data Logs into reports and metrics Dashboards.\nDemonstrated experience with Regular Expressions (RegEx).\nDemonstrated experience with SQL, MySQL, PostgresSQL.\nDemonstrated experience with Data file type processing XML, JSON.\nDemonstrated experience with IDEs and Data Modeling through Notebooks and Visual Studio.\nDemonstrated experience ETL’ing data from disparate structured & unstructured data formats into enriched, query-friendly, structured data in indexed files.\nDemonstrated experience performing extensive data review and data quality analysis.\nDemonstrated experience developing ETL design documentation including source and target mapping and data dictionary information.\nDemonstrated experience interfacing with customers and integration partners for gaining and clarifying detailed objectives.\nDemonstrated experience supporting Agile development by contributing to tasking definition, scope, and review.\nPreferred Skills:\nDemonstrated experience deploying capabilities on the Databricks unified analytics platform.\nDemonstrated experience with Elastic Map Reduce to run big data workloads.\nDemonstrated experience in joining multiple complex data sets using Spark.\nDemonstrated experience in tuning Spark streaming and batch jobs for cluster utilization and speed.\nDemonstrated experience in deploying complex, notebook-based pipelines.\nDemonstrated experience in Python data analysis libraries such as Pandas.\nDemonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2.\nDemonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS.\nDemonstrated experience working with Elastic, ElasticSearch/Logstash/Kibana (ELK stack).\nClearance Requirements:\nTS/SCI w/Poly\nMin\nUSD $160,000.00/Yr.Max\nUSD $210,000.00/Yr.Salary Range\nThe salary range for this position represents Acuity's good faith estimate of the compensation for this job title at the time of posting. 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