Data Scientist
4 weeks ago
The Data Scientist will be responsible for developing and optimizing data processing and analysis systems by applying advanced statistical modeling, data engineering techniques, and machine learning methodologies. The incumbent will write clean, performant code, develop and test custom statistical models, and contribute to the full development lifecycle, from implementation to deployment.
Key Responsibilities:- Develop scalable systems to automate data ingestion, processing, and analysis.
- Apply statistical methods and machine learning models to analyze complex datasets, generate actionable insights, and improve data-driven processes.
- Create, implement, and optimize data pipelines and machine learning workflows.
- Conduct data quality checks, profiling, and validation to ensure the integrity and accuracy across systems.
- Work with large-scale datasets using cloud-based big data platforms and technologies.
- Utilize data analytics and visualization tools to explore, interpret, and present data effectively.
- Communicate findings and insights to both technical and non-technical stakeholders.
- Handle sensitive and protected data, ensuring strict adherence to privacy and security regulations.
- Gather requirements and translate them into functional and technical specifications.
- Contribute to end-to-end data science projects, from problem definition and data collection to model development and deployment.
- B.S. in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent practical experience).
- 5+ years of hands-on experience in data science, data engineering, or a related field, with a focus on big data projects preferred.
- Strong proficiency in programming languages such as SQL and Python for data handling, statistical modeling, and system design.
- Expertise in using data visualization tools (e.g., Plotly) to effectively communicate data insights.
- Experience in data processing frameworks, data warehousing, and ETL/ELT processes.
- Proven ability to work with big data technologies (e.g., Hadoop, Spark, Hive) and cloud platforms (e.g., AWS).
- Knowledge of machine learning algorithms, statistical modeling, and predictive analytics and how to apply them to business and data challenges.
- Exposure to MLOps, model deployment, and monitoring techniques.
- Capable of supporting system design, road-mapping, and critical development tasks.
- Excellent problem-solving skills and the ability to communicate complex data science concepts to both technical and non-technical audiences.
- Ability to work independently and collaboratively within cross-functional teams.
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.
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