Senior Data Scientist

Markon

$150K — $210K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Active TS/SCI W/ Polygraph clearance
  • Bachelor's degree with 8 years of experience or Master's with 5 years; additional years considered without a degree
  • Advanced skills in Python, Java, or Scala for data engineering
  • Proven experience in creating data pipelines for large enterprises
  • Experience with developing data parsers for large datasets
  • Knowledge of various databases: graph, SQL, NoSQL, and vector
  • Familiarity with cloud environments like AWS or Azure

Responsibilities

  • Develop and maintain scalable data pipelines for AI applications
  • Create high-performance parsers for large and complex datasets
  • Implement various database systems including graph and SQL
  • Collaborate with AI engineers to optimize data access for models
  • Ensure data quality and security across storage solutions
  • Support deployment and maintenance of AI applications
  • Continuously enhance data infrastructure for efficiency and scalability

Benefits

  • Medical, Dental, and Vision insurance
  • Life Insurance
  • Short-Term and Long-Term Disability
  • 401(k) matching program
  • Flexible Spending Accounts
  • Employee Assistance Program (EAP)
  • Training and Tuition Assistance
  • Paid Time Off and Holidays
Full Job Description
PLEX Solutions, Part of Markon, is looking for a Sr. Data Scientist to support a program in the Annapolis Junction, MD area.

Responsibilities

  • Develop and maintain robust and scalable data pipelines for enterprise AI applications including defining appropriate data model concepts
  • Develop high-performance data parsers for extremely large and complex datasets
  • Implement and manage various database systems, including graph, SQL, NoSQL, and vector database
  • Collaborate with AI/ML engineers and data scientists to understand data requirements and optimize data access and retrieval for AI models
  • Ensure data quality, integrity, and security across all data storage solutions
  • Support the deployment and maintenance of AI applications by providing expert data engineering capabilities
  • Familiarity with AI concepts in the context of data storage, access, and retrieval
  • Continuously optimize data infrastructure for performance, cost-efficiency, and scalability


Qualifications

  • Active TS/SCI W/ Polygraph
  • Bachelor's degree in a relevant technical field with 8 years of experience; Master's degree in a relevant technical field with 5 years of experience; 4 years additional experience will be considered in lieu of degree
  • Advanced proficiency in programming languages commonly used for data engineering (e.g., Python, Java, Scala)
  • Demonstrated expertise in designing, developing, and optimizing data pipelines for large-scale enterprise environments
  • Proven experience with corporate dataflows and developing data parsers for extremely large datasets
  • Extensive experience with various database technologies including graph databases (e.g., Neo4j), SQL databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), and vector databases
  • Familiarity with cloud platforms (AWS, Microsoft Azure) for data storage and processing


Preferred Qualifications:
  • Experience with data governance, data security, and compliance best practices
  • Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
  • Experience with data warehousing concepts and tools
  • Continuous learning mindset to stay abreast of cutting-edge data engineering and AI advancements
  • Understanding of machine learning concepts and their implications for data infrastructure
  • Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams
  • Ability to translate complex data requirements into actionable engineering solutions


Salary Range

USD $150,000.00 - USD $210,000.00 /Yr.

The Markon pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Benefits Offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Training and Tuition Assistance, Paid Time Off, and Holidays.

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