Atlanta, GA, USA
5 hours ago
Data Scientist 3
** Johnson Service Group (JSG) is a nationally recognized professional staffing and recruiting firm that is looking for an experienced Data Scientist to fill a one-year assignment in the Forest Park & Atlanta, GA areas.


This position may require some bending, lifting, climbing, prolonged sitting, prolonged walking, walking on gravel or crawling when necessary.


Date: 11/06/2024

Job Title: Data Scientist 

Work Location: Forest Park, GA and Atlanta, GA

Requirements:
  Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering).   10 to 15 years of experience in data science, including an extensive track record of implementing data solutions and driving data-driven decision-making.   This assignment is a hybrid schedule with Tuesday, Wednesday and Thursday in office; the requirement for this assignment is (2) days at the Forest Park Location and (1) day at Atlanta, GA location.    Proficiency in data analysis tools and programming languages such as Python, R, or Julia.   Expert knowledge of machine learning algorithms and their applications.   Exceptional skills in data visualization tools like Tableau, Power BI, or data visualization libraries in Python (e.g., Matplotlib, Seaborn).   Profound understanding of databases and data manipulation using SQL.   Outstanding problem-solving and critical thinking abilities.   Strong leadership and communication skills, capable of conveying complex findings and insights to both technical and non-technical stakeholders.   Extensive experience with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark).   Expertise in data ethics, privacy, and compliance considerations.   Expertly handle complex data sets, conduct in-depth data analysis, and derive actionable insights by applying advanced statistical and machine learning techniques.   Develop and deploy sophisticated machine learning models, utilizing algorithms like deep learning, ensemble methods, and neural networks to predict trends, behaviors, and outcomes.   Create compelling data visualizations that effectively communicate complex findings and insights using tools like Tableau, Power BI, or custom Python visualizations.   Lead feature engineering efforts to identify and select critical data features, enhancing the predictive power of machine learning models.   Formulate, implement, and test hypotheses, providing robust statistical validation for key business decisions.   Lead the development of machine learning algorithms and their optimization to solve complex business problems.   Collaborate with IT and data engineering teams to integrate and access data from various sources, data lakes, and data warehouses.   Oversee the deployment of machine learning models in production environments to support real-time decision-making and business applications.   Design and analyze A/B tests to measure the impact of changes, optimizations, and improvements.   Ensure ethical data practices, privacy compliance, and adherence to data protection regulations in all data science initiatives.   Collaborate closely with cross-functional teams, including engineers, business analysts, domain experts, and executives to understand business requirements and align data science initiatives with organizational goals.   Act as a strategic leader, influencing data-driven culture across the organization, defining the data science roadmap, and contributing to long-term data strategy.   Stay updated on the latest data science tools, techniques, and trends, continuously innovating and evaluating new technologies to improve data science practices.

Is this position supporting a government-related project? No

Does this position require driving (excluding commute)? No

Does this position require personal protective equipment (PPE)? No

Estimated Start Date: 12/02/2024

Estimated Duration of Job Assignment: 12/31/2025



** Johnson Service Group (JSG) is an Equal Opportunity Employer. JSG provides equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other characteristic protected by law.  #D650
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