{"schemaVersion":"jobsearcher.job.v1","id":"b62de41e4e76b273bcb5924a","url":"https://jobsearcher.com/jobs/b62de41e4e76b273bcb5924a","canonicalUrl":"https://jobsearcher.com/jobs/b62de41e4e76b273bcb5924a","title":"Mid-Level Data Scientist","description":"Overview:\n\nWe are seeking a motivated and talented mid-level experienced (3-7 yr) data scientist to join our growing department. This role involves collaborating with senior team members, leaders, and business units to create custom solutions and data science models that provide insights into customer digital behavior, forecast mobile app and website usage trends, assess customer app store sentiment, and analyze data for actionable insights. Knowledge or insights into financial services and banking products will also be helpful in designing solutions and predictive tools to help customers improve financial management and financial health/well-being.\n\nBenefits:\n• Comprehensive Medical, Dental, and Vision Insurance\n• Employer-Paid Life Insurance\n• Employer-Paid Short-Term and Long-Term Disability Insurance\n• 401(k)\n• Paid Time Off (PTO) that includes Vacation Leave, Sick Leave, and 11 Paid Holidays\n• Educational Assistance\n\nSalary: 100k-122k\n\n**Hybrid in Vienna, VA**\n\n**An In Person interview will be required for this role**\n\nClick here to learn about BRMi's culture.\n\nClick here to see BRMi’s Glassdoor reviews\n\nResponsibilities:\nCollaborate with senior data scientists and leaders to design and implement predictive models and custom solutions that enhance our digital offerings.\nPartner with business units to gather requirements, understand customer needs, and develop data science solutions that address specific business challenges.\nWrite efficient code in Python and SQL to manipulate and analyze data.\nDesign, develop, and evaluate predictive models and algorithms with moderate to high complexity\nUtilize traditional and machine learning techniques and tools to build a variety of models, including but not limited to logistic regression, random forest, XGBoost, neural networks, NLP, k-means clustering, ARIMA, and prophet forecasting.\nAnalyze and interpret results with some complexity\nExercise limited judgment and discretion within defined procedures and practices\nDevelop and code modeling programs, algorithms, and automated processes\nUse modeling and trend analysis to analyze data\nCollaborate with team members and participate in team projects and initiatives\nUtilize effective written and verbal communication to document and present findings\nPerform other duties as assigned\nQualifications:\n3-7 years of experience (mid-level) in data science, statistics, and data analytics\nAbility to work with moderate to minimal supervision\nStrong programming abilities in SQL, Python, PySpark, R, or similar languages in data exploration, data preparation, modeling, prediction, simulation, and statistical analysis\nExperience with machine learning techniques and tools to build a variety of models, including logistic regression, XGBoost, neural networks, NLP, and clustering\nAbility to use data and cloud environments such as Azure, Databricks, AWS, or Hadoop\nFamiliarity with project management tools such as Azure Dev Ops (ADO), or JIRA is a plus\nTechnical writing skills\nStrong communication and data storytelling presentation skills of technical material\nAbility to collaborate and build relationships\nRequired: Bachelor’s degree in data science, statistics, economics, mathematics, computer science, engineering, or degrees in similar quantitative fields\nDesired: Master’s degree in data science, statistics, mathematics, or degrees in similar quantitative fields\n\n** BRMi will not sponsor applicants for work visas for this position.**\n\n**This is a W2 opportunity only**\n\nEOE/Minorities/Females/Vet/Disabled\n\nWe are an equal opportunity employer that values diversity and commitment at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. Employment policies and decisions on employment and promotion are based on merit, qualifications, performance, and business needs. The decisions and criteria governing the employment relationship with all employees are made in a nondiscriminatory manner, without regard to race, religion, color, national origin, sex, age, marital status, physical or mental disability, medical condition, veteran status, or any other factor determined to be unlawful by federal, state, or local statutes.","company":"Brmi","rawCompany":"brmi","city":"Vienna","state":"VA","isRemote":false,"isActive":true,"createdAt":"2026-09-14T04:48:12.899Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2041.00","title":"Statisticians","slug":"statisticians"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Mid-Level Data Scientist","description":"Overview:\n\nWe are seeking a motivated and talented mid-level experienced (3-7 yr) data scientist to join our growing department. This role involves collaborating with senior team members, leaders, and business units to create custom solutions and data science models that provide insights into customer digital behavior, forecast mobile app and website usage trends, assess customer app store sentiment, and analyze data for actionable insights. Knowledge or insights into financial services and banking products will also be helpful in designing solutions and predictive tools to help customers improve financial management and financial health/well-being.\n\nBenefits:\n• Comprehensive Medical, Dental, and Vision Insurance\n• Employer-Paid Life Insurance\n• Employer-Paid Short-Term and Long-Term Disability Insurance\n• 401(k)\n• Paid Time Off (PTO) that includes Vacation Leave, Sick Leave, and 11 Paid Holidays\n• Educational Assistance\n\nSalary: 100k-122k\n\n**Hybrid in Vienna, VA**\n\n**An In Person interview will be required for this role**\n\nClick here to learn about BRMi's culture.\n\nClick here to see BRMi’s Glassdoor reviews\n\nResponsibilities:\nCollaborate with senior data scientists and leaders to design and implement predictive models and custom solutions that enhance our digital offerings.\nPartner with business units to gather requirements, understand customer needs, and develop data science solutions that address specific business challenges.\nWrite efficient code in Python and SQL to manipulate and analyze data.\nDesign, develop, and evaluate predictive models and algorithms with moderate to high complexity\nUtilize traditional and machine learning techniques and tools to build a variety of models, including but not limited to logistic regression, random forest, XGBoost, neural networks, NLP, k-means clustering, ARIMA, and prophet forecasting.\nAnalyze and interpret results with some complexity\nExercise limited judgment and discretion within defined procedures and practices\nDevelop and code modeling programs, algorithms, and automated processes\nUse modeling and trend analysis to analyze data\nCollaborate with team members and participate in team projects and initiatives\nUtilize effective written and verbal communication to document and present findings\nPerform other duties as assigned\nQualifications:\n3-7 years of experience (mid-level) in data science, statistics, and data analytics\nAbility to work with moderate to minimal supervision\nStrong programming abilities in SQL, Python, PySpark, R, or similar languages in data exploration, data preparation, modeling, prediction, simulation, and statistical analysis\nExperience with machine learning techniques and tools to build a variety of models, including logistic regression, XGBoost, neural networks, NLP, and clustering\nAbility to use data and cloud environments such as Azure, Databricks, AWS, or Hadoop\nFamiliarity with project management tools such as Azure Dev Ops (ADO), or JIRA is a plus\nTechnical writing skills\nStrong communication and data storytelling presentation skills of technical material\nAbility to collaborate and build relationships\nRequired: Bachelor’s degree in data science, statistics, economics, mathematics, computer science, engineering, or degrees in similar quantitative fields\nDesired: Master’s degree in data science, statistics, mathematics, or degrees in similar quantitative fields\n\n** BRMi will not sponsor applicants for work visas for this position.**\n\n**This is a W2 opportunity only**\n\nEOE/Minorities/Females/Vet/Disabled\n\nWe are an equal opportunity employer that values diversity and commitment at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. Employment policies and decisions on employment and promotion are based on merit, qualifications, performance, and business needs. The decisions and criteria governing the employment relationship with all employees are made in a nondiscriminatory manner, without regard to race, religion, color, national origin, sex, age, marital status, physical or mental disability, medical condition, veteran status, or any other factor determined to be unlawful by federal, state, or local statutes.","datePosted":"2026-09-14T04:48:12.899Z","dateModified":"2026-09-14T04:48:12.899Z","hiringOrganization":{"@type":"Organization","name":"Brmi","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vienna","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b62de41e4e76b273bcb5924a"},"url":"https://jobsearcher.com/jobs/b62de41e4e76b273bcb5924a"}}