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JOB SUMMARY
Requirements3-5 years of experience in building data driven solutions with a bias towards machine learning.2. 2+ years experience with python Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Proficiency in data analytics and machine learning tools (e.g., Python, R, SQL, TensorFlow, PyTorch). Experience with cloud computing platforms (e.g., AWS, Google Cloud) and their data analytics services. Strong understanding of data preprocessing, exploratory data analysis, and predictive modeling techniques. Familiarity with big data technologies (e.g., BigQuery, Spark, Power BI) is an advantage.
RESPONSIBILITIES
Collaborate with cross-functional teams to understand business needs and identify data analytics opportunities. Analyze large, complex datasets to identify trends, patterns, and insights and present them to stakeholders in a clear and understandable manner Develop and implement machine learning algorithms and statistical models to improve our processes or product functionality Collect, clean, and preprocess large datasets from diverse sources Create visualizations using state of the art visualization tools. Assist in the integration of data analytics findings into operational processes and strategic planning. Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions. Stay up-to-date with advances in data science and technology and suggest improvements we can make in our processes and offerings. Any data related task that may be required of you from time to time. This may include data engineering tasks or creation of APIs to facilitate consumption of data
REQUIRED SKILLS
Stakeholder communication, Big data and data analytics, Collaboration, Machine Learning (ML)
REQUIRED EDUCATION
Bachelor's degree