JSG (Johnson Service Group, Inc.)

Data Scientist 2 - DATAS2

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist 2 with 5-10 years of experience, offering a hybrid contract in Atlanta, Georgia. Pay rate is competitive. Key skills include Python, machine learning, SQL, and data visualization. A Bachelor's in a quantitative field is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 7, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Atlanta, GA 30308
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🧠 - Skills detailed
#Datasets #DBA (Database Administrator) #Statistics #Compliance #Tableau #Predictive Modeling #Distributed Computing #Mathematics #ML (Machine Learning) #Libraries #"ETL (Extract #Transform #Load)" #Computer Science #Data Integration #BI (Business Intelligence) #Deployment #Big Data #Neural Networks #Spark (Apache Spark) #SQL (Structured Query Language) #Data Science #Databases #Data Warehouse #Business Analysis #Python #Clustering #Regression #Microsoft Power BI #A/B Testing #Data Manipulation #Matplotlib #Data Ethics #Hadoop #Visualization #R #Programming #Classification #Model Deployment #Data Analysis
Role description
• • Johnson Service Group (JSG) is a nationally recognized professional staffing and recruiting firm that is looking for a degreed and experienced Data Scientist to fill a hybrid contract assignment in Atlanta, Georgia. Overview: A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision-making within an organization. This role involves advanced analytics, machine learning, and strong problem-solving skills to extract actionable information from large datasets. Education: Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering); a Master's or Ph.D. is a plus. Experience: 5 to 10 years of experience in data science, including machine learning and statistical analysis. Key Responsibilities: Data Analysis: Collect, clean, and analyze complex datasets to identify trends, patterns, and actionable insights. Use statistical techniques to uncover meaningful information from data. Predictive Modeling: Develop and deploy machine learning models to predict future trends, behaviors, and outcomes. Apply regression analysis, clustering, classification, and other modeling techniques. Data Visualization: Create compelling data visualizations to communicate findings effectively to both technical and non-technical stakeholders using tools like Tableau, Power BI, or Python libraries. Hypothesis Testing: Formulate and test hypotheses, providing statistical validation for business decisions and recommendations. Feature Engineering: Engineer and select relevant features for machine learning models, enhancing their predictive power. Algorithm Development: Build and fine-tune machine learning algorithms, such as decision trees, random forests, neural networks, and more, depending on the specific problem. Data Integration: Collaborate with IT and database administrators to integrate and access data from various sources and data warehouses. Model Deployment: Deploy machine learning models in production environments to support real-time decision-making. A/B Testing: Design and analyze A/B tests to measure the impact of changes and improvements. Data Ethics: Ensure ethical data practices, including privacy and compliance with data protection regulations. Cross-functional Collaboration: Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to understand business requirements and align data science initiatives with organizational goals. Mentorship: Provide guidance and mentorship to junior data scientists and analysts, fostering their professional growth. Continuous Learning: Stay updated on the latest data science tools, techniques, and trends through ongoing professional development. Skills: Proficiency in data analysis tools and programming languages such as Python, R, or Julia. Strong knowledge of machine learning algorithms and their applications. Experience with data visualization tools like Tableau, Power BI, or data visualization libraries in Python (e.g., Matplotlib, Seaborn). Solid understanding of databases and data manipulation using SQL. Excellent problem-solving and critical thinking skills. Strong communication skills to convey complex findings and insights to both technical and non-technical stakeholders. Familiarity with big data technologies and distributed computing frameworks is a plus (e.g., Hadoop, Spark). Knowledge of data ethics, privacy, and compliance considerations. A Data Scientist with 5 to 10 years of experience is a critical asset to an organization, capable of transforming data into actionable insights, building predictive models, and driving data-driven decision-making. This role requires a strong foundation in data science techniques, programming, and advanced analytics, as well as the ability to collaborate with various teams and mentor junior staff. This position may require some bending, lifting, climbing, prolonged sitting, prolonged walking, walking on gravel or crawling when necessary. JSG offers medical, dental, vision, life insurance options, short-term disability, 401(k), weekly pay, and more. 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