Data Scientist IV

Sapient Logic is seeking a talented Data Scientist to join our team in San Diego, CA. As a Data Scientist, you will provide strategic insights through advanced data analysis, machine learning, and predictive modeling. You will collaborate with cross-functional teams to solve problems and drive data-driven decision-making relevant to our national defense customers.

Responsibilities:

• Design, implement, and maintain scalable data pipelines for ingestion, processing, and analysis of large datasets stored in distributed key-value store databases.
• Develop and execute complex queries to perform data retrieval tasks from a highly scalable, sorted key-value database environment.
• Analyze large datasets to identify patterns, trends, and insights; translate these findings into actionable data-driven decisions.
• Work closely with cross-functional teams, including data engineers and IT specialists, to enhance data collection procedures and improve data scalability and reliability.
• Employ advanced statistical and predictive modeling techniques to build, maintain, and improve on existing analytics systems.
• Prepare detailed reports and presentations on findings and share insights with stakeholders.
• Stay updated with the latest trends, technologies, and advancements in distributed databases and data science methodologies.
• Contribute to the development of tools and platforms to monitor and analyze data performance and quality.
• Participate in the creation of data governance and compliance protocols, particularly regarding data security and privacy in distributed systems.

Required Qualifications:

• Master’s or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field.
• Minimum of 7 years of experience in a similar role, specifically working with distributed key-value store databases like Apache Accumulo.
• Strong programming skills in languages such as Python, Java, or Scala.
• Proficiency in using SQL and NoSQL databases, with a particular focus on technologies designed for large-scale data handling.
• Demonstrable experience with big data technologies (Hadoop, Spark, Kafka) and familiarity with data framework ecosystems.
• Advanced analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Experience in applying machine learning algorithms and statistical modeling techniques to large, complex datasets.
• Excellent problem-solving abilities and communication skills, capable of explaining complex data-related concepts to non-technical stakeholders.
• Ability to work in a fast-paced environment and manage multiple projects simultaneously.
• Active Secret clearance with the eligibility to obtain TS/SCI clearance.

Job Type: Full-time

Pay: $150,000.00 – $165,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental Insurance
• Employee assistance program
• Employee discount
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Parental leave
• Professional development assistance
• Retirement plan
• Tuition reimbursement
• Vision insurance

Compensation package:

• Bonus opportunities

Experience level:

• 7 years

Schedule:

• 8 hour shift
• Monday to Friday

Experience:

• Python: 7 years (Preferred)
• SQL: 7 years (Preferred)

Security Clearance:

• Secret (Required)

Ability to Commute:

• San Diego, CA (Required)

Ability to Relocate:

• San Diego, CA │Oahu, Hawaii : Relocate before starting work (Required)

Work Location: In person