Data scientist Jobs in Atlanta ga
Last updated: 10 hours ago
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Health Scientist (Data Scientist)
U.S. Department of Health and Human Services (HHS Careers)Atlanta, GA- Promoted
Sr. Data Scientist
VisaAtlanta, GA, United States- Promoted
- New!
Senior Data Scientist
Currency CloudAtlanta, GA, United States- Promoted
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Data scientist
Cloudious LLCAtlanta, Georgia, USA- Promoted
DATA SCIENTIST
4P Consulting IncForest Park, GA, United States- Promoted
Senior Data Scientist
Cox EnterprisesAtlanta, GA- Promoted
Lead Data Scientist
Cox CommunicationsAvondale Estates, GA, United States- Promoted
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Data Scientist
ApTaskAtlanta, GA, United States- Promoted
Senior Data Scientist
firstPRO 360Atlanta, GA, United States- Promoted
Lead Data Scientist
HumanaAtlanta, GA, United States- Promoted
Data Scientist
VirtualVocationsAtlanta, Georgia, United States- Promoted
- Promoted
Senior Data Scientist
Highmark HealthAtlanta, GA, United States- Promoted
Senior Data Scientist
Resource LogisticsAtlanta, GA, United States- Promoted
Principal Data Scientist
CVS HealthAtlanta, GA, United StatesData Scientist
BrooksourceAtlanta, GA, United States5 days ago
Job type
- Full-time
Job descriptionEducation : A bachelor's degree in a relevant field such as computer science, statistics, mathematics, or a related discipline is typically required. Many Data Scientists also hold master's or Ph.D. degrees. Programming Skills : Proficiency in programming languages such as Python or R is essential. Data Tools : Familiarity with data analysis and machine learning libraries and frameworks, such as Pandas, NumPy, Scikit-Learn, TensorFlow, or PyTorch. Database Knowledge : Understanding of SQL and experience working with relational databases. Statistical Skills : Strong statistical knowledge and the ability to apply statistical techniques to real-world problems. Machine Learning : Expertise in machine learning algorithms and techniques, including supervised and unsupervised learning. Data Visualization : Proficiency in data visualization tools like Matplotlib, Seaborn, or Tableau. Problem-Solving : Strong analytical and problem-solving skills to tackle complex, unstructured business challenges. Communication : Excellent communication skills to convey complex findings to non-technical stakeholders. Team Collaboration : Ability to work collaboratively in cross-functional teams. Domain Knowledge : Depending on the industry, domain-specific knowledge may be required (e.g., healthcare, finance, e-commerce). Ethical Considerations : Awareness of ethical considerations related to data handling and analysis, including privacy and bias. Data Scientists are instrumental in leveraging data to gain insights, improve decision-making, and drive innovation within organizations across various industries, including finance, healthcare, technology, and more. Their work contributes to business growth and competitiveness.
Data Scientist
12 Month Rolling Contract
Atlanta, GA
A Data Scientist is a highly skilled professional who uses data analysis and machine learning techniques to extract valuable insights and make data-driven decisions. They work with large datasets to solve complex problems and help organizations make informed choices.
Responsibilities
- Data Collection : Gather and collect large datasets from various sources, including databases, APIs, and external data providers.
- Data Cleaning : Preprocess and clean data to remove inconsistencies, missing values, and outliers to ensure data quality.
- Exploratory Data Analysis (EDA) : Conduct exploratory data analysis to understand the characteristics and patterns within the data.
- Feature Engineering : Create relevant features or variables from raw data to improve the performance of machine learning models.
- Machine Learning Modeling : Develop and implement machine learning models to solve specific business problems, such as classification, regression, clustering, and recommendation systems.
- Model Evaluation : Assess the performance of machine learning models using various evaluation metrics and fine-tune them for optimal results.
- Data Visualization : Create clear and informative data visualizations and reports to communicate findings to non-technical stakeholders.
- Predictive Analytics : Use statistical and machine learning techniques to make predictions and forecast future trends.
- Statistical Analysis : Apply statistical methods to analyze data and test hypotheses.
- A / B Testing : Design and conduct A / B tests to evaluate the impact of changes and optimizations.
- Data Integration : Integrate data science solutions into existing software systems and workflows.
- Data Security : Ensure data privacy and security by implementing appropriate measures.
- Documentation : Maintain clear and organized documentation of data analysis processes, models, and findings.
- Continuous Learning : Stay up-to-date with the latest developments in data science and machine learning.
Qualifications