Data Science Analyst
Tysons Corner, VA
Full Time
Census
Mid Level
The Data Science Analyst supports the development and maintenance of business intelligence solutions and analytics products. The Data Science Analyst will manage, architect and analyze big data in order to build data driven insights and high impact data models. The Data Science Analyst will build models, conduct training / tuning, and deploy to live data pipelines.
Responsibilities:
What BLN24 brings to the Game:
BLN24 is an Equal Opportunity Employer. We believe people are our strength and understand diverse talents are key to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
Responsibilities:
- Develop analytics products and models that drive value and insight into client business.
- Create a value chain to help address the challenges of acquiring data from multiple sources, evaluating its value, distilling & analyzing.
- Build and manage data pipelines integrated with enterprise data. Data pipelines include Python API queries to external services like Sprinklr, Google Analytics, RSS feed.
- Build Python algorithms using regression, k-means clustering, support vector machines, boosting, random forests, and neural networks.
- Design, build, test, and optimize queries and data cleanups.
- Perform data analysis on data monitoring reports to identify issues within assigned business system components.
- Strong background in data analysis with experience working with large data sets, data research, and Extract-Transform-Load (ETL) processes.
- 3-5 years of design and development experience in advanced analytics including machine learning, artificial intelligence, and statistical computations in Python and R.
- Experience with supervised and unsupervised learning, Natural Language Processing, and data augmentation to address imbalanced training sets.
- Strong experience in SQL development, including writing complex queries, sub queries etc.
- Experience in working in Agile environment.
What BLN24 brings to the Game:
- BLN24 benefits are game changing. We like our team to play hard and that means they need to be taken care of — physically, financially, and emotionally. We make sure to keep them in the game by giving them access to generous medical, dental, and vision plans.
- You can join one of the fastest growing companies headquartered in the Washington DC Metro Area. We give you the opportunity to work in different sectors, so you have the chance at variety while maintaining stability.
- Flexibility at BLN24 allows each individual the opportunity to balance quality work and their personal lives. Depending on projects, we allow remote working opportunities so you can always be in the game no matter where you call home.
- We offer competitive benefits including: 401(k), Healthcare, learning and development opportunities, and more.
BLN24 is an Equal Opportunity Employer. We believe people are our strength and understand diverse talents are key to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
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