Metas Solutions - Atlanta, GA

posted 3 months ago

Full-time - Senior
Onsite - Atlanta, GA
Professional, Scientific, and Technical Services

About the position

Metas Solutions is seeking an experienced Senior Data Scientist/Machine Learning Engineer to join our team. This position is crucial for our operations as it involves assessing, analyzing, and organizing large datasets while executing tests and optimizing machine learning systems and algorithms. The ideal candidate will have a strong background in data science and machine learning, with a focus on developing and managing ML models throughout their lifecycle. This role is designed for someone who is passionate about leveraging data to drive insights and improve model performance. As a Senior Data Scientist/Machine Learning Engineer, you will be responsible for designing machine learning systems, researching and setting up various ML algorithms and tools, and selecting appropriate datasets for analysis. You will also be tasked with identifying differences in data distribution that may affect model performance, verifying data quality, and transforming data science prototypes into functional models. Your role will involve performing statistical analyses and running machine learning tests, using the results to refine and enhance the models you develop. This position requires a proactive approach to problem-solving and a deep understanding of machine learning principles. You will work closely with other team members to ensure that our ML systems are robust, efficient, and capable of meeting the needs of our clients. Your contributions will directly impact the effectiveness of our services, particularly in the areas of public health capacity building and information technology implementation.

Responsibilities

  • Designing ML systems.
  • Researching and setting up ML algorithms and tools.
  • Selecting appropriate datasets.
  • Picking appropriate data representation methods.
  • Identifying differences in data distribution that affect model performance.
  • Verifying data quality.
  • Transforming and converting data science prototypes.
  • Performing statistical analysis.
  • Running machine learning tests.
  • Using results to improve models.

Requirements

  • Bachelor's degree in Computer Science focused on Data Science or similar disciplines.
  • 6+ years of experience in Programming R, Python ML space.
  • Experience with ML Model Life of Development and Management.
  • Experience in Spark - Databricks or EMR.
  • Experience in MLOps practices - MLFlow, AutoML, SparkML, ML Libraries.
  • Experience with Cloud ML/AI Practices.

Nice-to-haves

  • Experience with SAS.
  • Experience with MLOps Platforms: Domino Data Labs, Databricks ML.
  • Experience with GenAI Project involvement - LLM, OpenAI.
  • Knowledge of Cloud Engineering.
  • Experience with Centers for Disease Control and Prevention (CDC) and CDC systems highly desired.

Benefits

  • Market competitive salary, commensurate with experience and education.
  • Comprehensive benefits package available, including Medical, Dental, Vision, and Life Insurance.
  • Paid Time Off (PTO).
  • 401K with company match.
  • Growth and promotion opportunities.
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