What are the responsibilities and job description for the Data Scientist (Big Data)- Austin, TX (Locals only) position at FedTec?
Company Description
FedTec is a leading provider of digital solutions, infrastructure services, and cybersecurity for federal government agencies. We are driven by innovative solutions and transformative insights to help agencies meet future missions. With 18 years of experience, we optimize operations with cutting-edge technologies such as cloud computing and automation, delivering comprehensive cyber solutions to build stakeholder trust. FedTec is proud to support 46 prime contracts with a total award value exceeding $500M and a dedicated workforce of over 300 full-time employees.
Role Description
Job Title: Senior Data Scientist (Big Data)
Location: Austin, TX (Local Candidates Only)
Key Responsibilities:
- Design, build, and manage efficient, scalable, and reliable data pipelines to support data integration efforts across the organization.
- Work with large datasets, and leverage Big Data technologies such as Hadoop, Spark, and Databricks (on Azure) to create data-driven solutions.
- Collaborate closely with data engineers, data analysts, and other stakeholders to design and implement data integration workflows.
- Develop and deploy machine learning models, advanced analytics algorithms, and predictive models using Big Data tools and frameworks.
- Build and optimize data pipelines using Python and SQL, ensuring that data flows seamlessly from source to destination.
- Ensure high data quality by conducting thorough testing, validation, and troubleshooting of pipelines and algorithms.
- Conduct complex data analysis and translate insights into actionable business decisions.
- Stay updated with emerging trends in Big Data technologies and machine learning frameworks.
- Optimize performance of data systems and workflows for improved efficiency and scalability.
- Mentor and guide junior data scientists and collaborate with cross-functional teams to solve business problems.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
- 10 years of experience in Data Science, with a strong focus on Big Data technologies and data pipeline management.
- Proven experience in designing, building, and managing data pipelines to integrate large datasets across multiple platforms.
- Strong proficiency in Python for data processing, scripting, and automation.
- Expert-level proficiency in SQL, with experience in querying large datasets and optimizing database performance.
- Experience with Databricks on Azure to develop data solutions and manage data pipelines.
- In-depth understanding of Big Data technologies like Hadoop, Spark, and distributed storage systems.
- Experience with cloud computing platforms, particularly Azure, and using cloud-based data services.
- Excellent problem-solving skills and ability to translate complex technical concepts to non-technical stakeholders.
- Strong communication skills and a collaborative mindset.
Preferred Qualifications:
- Experience with machine learning frameworks such as TensorFlow, scikit-learn, or PyTorch.
- Familiarity with data orchestration tools (e.g., Apache Airflow) for managing and scheduling data workflows.
- Experience with real-time data processing and streaming data platforms such as Apache Kafka or similar technologies.
- Familiarity with containerization technologies such as Docker or Kubernetes.
- Knowledge of data governance and security best practices for managing large-scale data systems.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
