Job Description

Overview

We 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.

Benefits:• Comprehensive Medical, Dental, and Vision Insurance• Employer-Paid Life Insurance• Employer-Paid Short-Term and Long-Term Disability Insurance• 401(k) • Paid Time Off (PTO) that includes Vacation Leave, Sick Leave, and 11 Paid Holidays• Educational Assistance

Salary: 100k-122k

**Hybrid in Vienna, VA**

**An In Person interview will be required for this role**

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Responsibilities

• Collaborate with senior data scientists and leaders to design and implement predictive models and custom solutions that enhance our digital offerings.
• Partner with business units to gather requirements, understand customer needs, and develop data science solutions that address specific business challenges.
• Write efficient code in Python and SQL to manipulate and analyze data.
• Design, develop, and evaluate predictive models and algorithms with moderate to high complexity
• Utilize 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.
• Analyze and interpret results with some complexity
• Exercise limited judgment and discretion within defined procedures and practices
• Develop and code modeling programs, algorithms, and automated processes
• Use modeling and trend analysis to analyze data
• Collaborate with team members and participate in team projects and initiatives
• Utilize effective written and verbal communication to document and present findings
• Perform other duties as assigned

Qualifications

• 3-7 years of experience (mid-level) in data science, statistics, and data analytics
• Ability to work with moderate to minimal supervision
• Strong programming abilities in SQL, Python, PySpark, R, or similar languages in data exploration, data preparation, modeling, prediction, simulation, and statistical analysis
• Experience with machine learning techniques and tools to build a variety of models, including logistic regression, XGBoost, neural networks, NLP, and clustering
• Ability to use data and cloud environments such as Azure, Databricks, AWS, or Hadoop
• Familiarity with project management tools such as Azure Dev Ops (ADO), or JIRA is a plus
• Technical writing skills
• Strong communication and data storytelling presentation skills of technical material
• Ability to collaborate and build relationships
• Required: Bachelor’s degree in data science, statistics, economics, mathematics, computer science, engineering, or degrees in similar quantitative fields
• Desired: Master’s degree in data science, statistics, mathematics, or degrees in similar quantitative fields

** BRMi will not sponsor applicants for work visas for this position.**

**This is a W2 opportunity only**

EOE/Minorities/Females/Vet/Disabled

We 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.