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Data Scientist IV

Sapient Logic
San Diego, CA Full Time
POSTED ON 1/17/2025 CLOSED ON 4/16/2025

What are the responsibilities and job description for the Data Scientist IV position at Sapient Logic?

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.

Check below to see if you have what is needed for this opportunity, and if so, make an application asap.

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

    J-18808-Ljbffr

    Salary : $150,000 - $165,000

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