Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Create, develop, and implement sophisticated analytics solutions.

• Construct scalable data pipelines and analytics workflows utilizing Databricks, PySpark, Delta Lake, and notebooks.

• Design interactive dashboards and reports using Power BI.

• Develop and sustain Power BI data models along with DAX measures.

• Analyze extensive and complex datasets to enhance query performance, processing speed, and overall efficiency.

• Collaborate with business stakeholders to convert analytical requirements into technical solutions.

• Conduct exploratory data analysis, feature engineering, and the development of machine learning models.

• Optimize data models for reliability, governance, and reusability.

• Work alongside engineering teams to deploy analytics products into production environments.

• Document processes, data definitions, and system logic thoroughly.

• Assist in the transition from Splunk to Databricks.

• Establish and maintain API integrations with external platforms, including managing OAuth 2.0 authentication and token management.

• Provide dashboards and analytics that yield measurable business outcomes.

• Enhance data accessibility and reliability through structured models and pipelines.

• Guide stakeholders in pursuit of data-driven insights.

• Ensure reporting integrity through validation, documentation, and data quality practices.

⛳️ Requirements

• Secret clearance is mandatory; candidates currently holding a Secret clearance may be eligible for sponsorship to a higher-level clearance.

• U.S. citizenship might be required for specific positions.

• Minimum of 3 years of experience in analytics, data engineering, or data science roles, or equivalent practical experience.

• Strong expertise in Power BI for data modeling, DAX, report creation, and visualization best practices.

• Significant experience with Databricks and distributed data processing (Spark).

• Advanced SQL skills for querying, transforming, and optimizing large datasets.

• Strong proficiency in Python for data analysis, transformation, automation, and analytics.

• Experience with Power Automate for workflow automation.

• Proven experience in constructing and maintaining data pipelines and engaging with modern data architectures.

• Knowledge of cloud data platforms and architectures, preferably Microsoft Azure.

• Excellent presentation skills with the ability to tailor technical depth for both technical and non-technical audiences.

• Strong analytical mindset with the ability to interpret data trends and communicate findings clearly.

• Experience working collaboratively in cross-functional teams and managing competing priorities.

• Ability to adapt solutions and troubleshoot using available tools.

• Bachelor's degree in Data Science, Computer Science, Statistics, Information Systems, or a related field is preferred, but not essential for candidates with strong relevant experience.

• Experience with JIRA, CI/CD, DevOps, API integrations, OAuth 2.0, data governance, DataOps, UiPath/RPA, ServiceNow, Splunk, or AI tools is preferred and considered a bonus.

🏝️ Benefits

• Competitive salary along with performance-based incentives.

• 401(k) plan with company matching contributions.

• Three weeks of paid annual leave that increases over time with tenure.

• Comprehensive medical, dental, and vision insurance coverage.

• Life insurance and disability coverage provided.

• Transit and commuting benefits available.

• Opportunities for professional development and paid training.

• Reasonable accommodations for qualified individuals with disabilities.