A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
Full-Time (W2) Candidate must be open to relocate. We are seeking motivated and aspiring Data Scientists to join our growing consulting team. This opportunity is ideal for recent graduates and early-career IT professionals who are passionate about data science, machine learning, artificial intelligence, and data-driven decision-making. Responsibilities Collect, clean, preprocess, and analyze structured and unstructured datasets. Develop and implement machine learning models to solve business problems. Perform exploratory data analysis (EDA) to identify trends, patterns, and insights. Build predictive models and evaluate their performance using appropriate statistical techniques. Develop data visualizations and dashboards to communicate findings effectively. Collaborate with data engineers, software developers, business analysts, and stakeholders to deliver data-driven solutions. Optimize machine learning models for scalability, accuracy, and performance. Follow software development best practices, including version control and Agile methodologies. Qualifications Bachelor's degree in Computer Science, Data Science, Information Technology, Software Engineering, Computer Engineering, Mathematics, Statistics, Artificial Intelligence, or a related technical field. 1-4 years of professional experience in data science, software development, analytics, machine learning, or a related technical role. Strong programming skills in Python, R, SQL, Java, or similar programming languages. Understanding of statistics, probability, linear algebra, and machine learning fundamentals. Familiarity with data analysis libraries such as Pandas, NumPy, Scikit-learn, or similar tools. Knowledge of SQL, relational databases, and data modeling concepts. Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) is a plus. Familiarity with machine learning frameworks such as TensorFlow, PyTorch, Keras, or XGBoost is preferred but not required. Strong analytical, problem-solving, and communication skills. Willingness to relocate to Atlanta, GA for the paid training program and travel or relocate as required for client engagements across the United States. Preferred Qualifications Internship, academic, or personal projects involving data science, machine learning, artificial intelligence, or predictive analytics. Experience with data visualization tools such as Tableau, Power BI, or Matplotlib. Knowledge of Git or other version control systems. Familiarity with Jupyter Notebook, Google Colab, or similar development environments. Understanding of Agile/Scrum development methodologies. Thanks.
