At Softrams, we take pride in building & delivering human centered digital services for our users and stakeholders. We build small self-reliant teams and empower them to design, develop and deliver products to meet our clients’ business challenges.\n\nRoles & Responsibilities\nSoftrams’ is seeking a Data Scientist for a position supporting federal clients in the Baltimore-Washington metro area. Remote work from the continental U.S. may be possible. The selected candidate will support federal government clients working in a project team environment to conduct analytical research and develop analytical applications that address complex business concerns. \n\n·       Engage as a consultant advisor to public sector stakeholders on their business problems and provide technical guidance. \n·       Determine the nature of analytic problems and requirements, lead analytical research planning, evaluate methods and approaches, and offer recommendations for resolution. \n·       Apply statistical programming to prepare data, conduct modeling and data mining, and develop visualizations and reporting. \n·       Design and develop analytic processing and reporting applications and solutions to address business problems.\n·       Design and develop prototype and pilot solutions for machine learning and artificial intelligence solutions  \n·       Create data dissemination mechanisms /procedures that summarize data in an easy to understand displays and reports and/or otherwise communicate methods and findings. \n·       Provide technical support to other data scientists in use of statistical methods and software.\n\nRequired Skills:\n·       Master’s degree or Ph.D. in Data Science, Mathematics, Statistics, Analytics, or related quantitative field (business analytics, social sciences, health economics, public health, epidemiology, biostatistics, computer science). \n·       Strong problem-solving skills with an emphasis on analytical product development in a business context, particularly with government-related data.\n·       Demonstrated expertise identifying the attributes or factors for modeling, preparing data and relevant metrics, applying statistical modeling methods, validating model results, and preparing summary reports and/or interpretative results of findings.\n·       Experience with data engineering using SQL queries, Spark, and/or python and to extract and transform large volumes of data into a format suitable for analysis.\n·       Knowledge of machine learning, data mining, text analytics, deep learning, and/or predictive modeling techniques and their appropriate use.\n·       Expertise in the use of statistical software including SAS, Python, R, and/or Scala to manipulate and analyze data and to build analytical models.\n·       Experience building data visualizations using Tableau, QuickSight, Python, SAS, R, or similar software, and presenting results / data for stakeholders.\n·       Excellent attention to detail and ability to maintain quality control for one’s own work or the work of others.\n·       Excellent written and verbal communication skills for coordinating across teams and interacting with clients.\n·       Ability to manage multiple projects efficiently and able to meet deadlines.\n·       Ability to coordinate analytic work and support the work of other data scientists.\n·       Ability to obtain a Public Trust Clearance.  This role may require the hired candidate to go through public clearance. A minimum of 3 years of stay in the U.S. within the last 5 years is a must to be eligible to qualify for public trust clearance sponsorship.\n \nDesired Skills:\n·       Knowledge and experience with the Center for Medicare and Medicaid Services (CMS); Medicare, Medicaid, and other public health insurance programs; and administrative or health insurance claims data.\n·       Experience using cloud-based services and resources (e.g., AWS, Azure, Google cloud) and distributed data and computing tools: Snowflake, Data Bricks, Spark, Map/Reduce, Hadoop, Hive, MySQL, etc.\n·       Experience with ML Operations tools (e.g., MLFlow, Kubeflow, SageMaker, etc.) \n·       Knowledge of software design and experience developing (programming) and deploying analytical applications or processing systems.\n·       Experience designing and creating data models and architectures.\n·       Knowledge of working in a team-based agile work environment with certification in the Scaled Agile Framework (SAFe) or the capacity to obtain certification.\n·       Excellent communication skills and an effective technical writer with the ability to communicate complex data in a simple, actionable way.\n\nBenefits\n·       Health, Dental, Vision and STD, LTD, Life Insurance & Voluntary Life insurance.\n·       Retirement 401(k) Plan with employer matching. Immediate vesting.\n·       Vacation & Sick leaves\n\nSoftrams is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, nation origin, sexual orientation, gender identity, disability or protected veteran status.\n \nAs a HUBZone certified business, we strongly encourage candidates who reside in a HUBZone area to apply. Click on the link here to check if you are in the HubZone area (http://map.sba.gov/hubzone/maps/).\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Scala and Digital Nomad jobs that are similar:\n\n $70,000 — $130,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nRemote USA