Mid Data Scientist

Ignite Digital

$120K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; Ph.D. preferred
  • 2 to 5+ years of applied experience in data science, machine learning, or analytics
  • Hands-on experience with cloud platforms like AWS, Azure, or GCP is a plus
  • Experience with big data technologies such as Spark, Databricks, or Snowflake preferred
  • Strong problem-solving and critical thinking skills
  • Excellent communication for translating complex data into actionable insights
  • Ability to obtain DOD Secret clearance

Responsibilities

  • Collect, process, and analyze large datasets from multiple sources
  • Develop, test, and deploy machine learning models for business problem-solving
  • Design and implement statistical models and predictive analytics solutions
  • Communicate findings through visualizations, dashboards, and reports
  • Collaborate with data engineers, analysts, and business stakeholders
  • Stay current with emerging data science methodologies and tools
  • Ensure compliance with data governance and security standards

Benefits

  • Competitive pay and benefits, including PTO
  • Education stipends and referral bonuses
  • Compelling work with the U.S. federal government
  • Strong emphasis on volunteer and community engagement
  • Opportunity to shape the future of the industry
  • Supportive management that invests in employee growth
Full Job Description
We are seeking a highly skilled and motivated Data Scientist to join our team. In this role, you will leverage advanced analytics, machine learning, and statistical modeling techniques to extract insights from complex datasets. You will work closely with cross-functional teams to design data-driven solutions, guide decision-making, and deliver measurable business impact.

Responsibilities:
  • Collect, process, and analyze large structured and unstructured datasets from multiple sources
  • Develop, test, and deploy machine learning models to solve business problems and optimize operations
  • Design and implement statistical models, data pipelines, and predictive analytics solutions
  • Communicate findings and insights clearly through visualizations, dashboards, and reports
  • Collaborate with data engineers, analysts, and business stakeholders to identify opportunities for innovation
  • Stay current with emerging data science methodologies, tools, and industry best practices
  • Ensure compliance with data governance, privacy, and security standards

Qualifications:
  • Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Ph.D. preferred)
  • 2 to 5+ years of applied experience in data science, machine learning, or analytics
  • Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus
  • Experience working with big data technologies (e.g., Spark, Databricks, Snowflake) preferred
  • Strong problem-solving and critical thinking abilities
  • Excellent communication skills to translate complex data insights into actionable business recommendations
  • Ability to work independently and in a collaborative team environment
  • Detail-oriented with a passion for continuous learning and innovation
  • Ability to obtain DOD Secret clearance

Technical Skills:
  • Proficiency in Python or R for statistical modeling and machine learning
  • Strong knowledge of SQL and experience with relational and non-relational databases
  • Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
  • Familiarity with data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn)

Schedule: 100% onsite in San Diego, CA

Salary: 120k+ to align with experience and education

Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.

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