Data Science Consultant

As a Data Science Consultant at cBEYONData, your main responsibilities will include designing new data solutions using Databricks while utilizing SQL, Python, and Pyspark to meet the specific needs of our Army Client. You will also be tasked with modifying existing data model solutions, defining test cases, building data models and reports, and coordinating with stakeholders to transform business requirements into technical specifications.

To qualify for the Data Science Consultant role at cBEYONData, candidates should have a Bachelor’s degree in Computer Science or a related field, along with at least 2 years of hands-on development experience. Proficiency in SQL, Python, and Pyspark is essential, along with familiarity with Databricks and cloud architecture encompassing AWS/Azure. Additionally, candidates must possess an active Secret Clearance.

For the Data Science Consultant role at cBEYONData, familiarity with tools such as Databricks, software engineering tools (like estimation and version control), and cloud vendors is expected. Knowledge of ETL pipelines, data pipelines, workflow automation, and Microsoft’s Power Platform suite like Power BI will be beneficial as well, particularly for enhancing reporting capabilities.

Communication is critically important in the role of a Data Science Consultant at cBEYONData. You'll be expected to coordinate with stakeholders and users effectively to determine reporting requirements. Exceptional communication skills will enable you to articulate technical specifications clearly and foster positive collaboration among diverse teams.

Yes, cBEYONData is committed to providing reasonable accommodations to qualified individuals with disabilities in accordance with the Americans With Disabilities Act. If you require assistance or a reasonable accommodation to complete your application for the Data Science Consultant position, please reach out to the cBEYONData Recruiting Team via email.

When discussing your experience with Databricks, focus on specific projects where you've utilized it for data modeling, analysis, or reporting. Include details on how you implemented SQL and Python within Databricks, and talk about how it helped achieve project goals or improve data processes.

To answer this, discuss your framework for identifying requirements and expected outcomes. Outline a step-by-step analysis, from gathering user needs to creating test scripts and executing tests. Providing a real example will strengthen your response.

Mention using clear, non-technical language where possible. Talk about your use of visual aids like charts or diagrams and how you ensure mutual understanding. It’s key to demonstrate that you can tailor your communication style to your audience.

Outline the steps you take for requirement gathering and analysis, ensuring to include collaboration with stakeholders. Explain how you translate functional needs into technical terms, using project management tools or documentation to track changes and updates.

Discuss specific projects where you utilized AWS or Azure for data analytics. Highlight technologies used and how cloud architecture facilitated data access and collaboration. Your answer should convey an understanding of scaling, security, and integration.

Talk about your practices for validation, such as cross-checking data sources, implementing automated testing, and creating error-handling mechanisms. Provide examples of quality controls you’ve established in past projects.

Describe a specific project, outlining the challenges faced, such as tight deadlines or ambiguous requirements. Emphasize your problem-solving approach, collaboration with your team, and the successful outcomes achieved.

Discuss your hands-on experience with ETL tools and highlight your understanding of data ingestion, transformation, and loading processes. Mention specific automation frameworks you've used and how they improved efficiency.

Explain your commitment to continuous learning, whether it’s through online courses, attending workshops, participating in tech forums, or reading industry publications. Mention any specific trends you’re excited about.

Your answer should reflect your passion for data science, alignment with cBEYONData's mission, and enthusiasm for supporting defense operations. Mention any specific aspects of the company culture or projects that excite you.