Job Summary
We are seeking an Associate Data Scientist with 3 to 5 years of experience to join our dynamic team. The ideal candidate will have a strong background in Python and will work in a hybrid model with day shifts. This role does not require travel. The candidate will contribute to data-driven decision-making processes and help drive impactful insights for the company.
Responsibilities
Analyze large datasets to extract actionable insights and support data-driven decision-making processes.Develop and implement machine learning models to solve complex business problems.Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.Perform data preprocessing cleaning and transformation to ensure data quality and integrity.Create and maintain data pipelines to automate data collection and processing tasks.Utilize Python to develop and deploy data analysis and machine learning algorithms.Visualize data using tools like Matplotlib Seaborn or similar to communicate findings effectively.Conduct exploratory data analysis to identify trends patterns and anomalies in the data.Provide technical support and guidance to team members on data-related tasks and projects.Document methodologies processes and findings to ensure reproducibility and knowledge sharing.Stay updated with the latest advancements in data science and machine learning to continuously improve skills and knowledge.Participate in code reviews and contribute to the development of best practices for data science projects.Ensure compliance with data privacy and security regulations in all data-related activities.
Qualifications
Possess a Bachelors or Masters degree in Data Science Computer Science Statistics or a related field.Have 3 to 5 years of hands-on experience in data science and machine learning.Demonstrate proficiency in Python for data analysis and machine learning tasks.Show experience with data visualization tools like Matplotlib Seaborn or similar.Exhibit strong problem-solving skills and the ability to work with large datasets.Have excellent communication skills to effectively collaborate with cross-functional teams.Display knowledge of data preprocessing cleaning and transformation techniques.Understand the principles of machine learning and statistical analysis.Be familiar with data privacy and security regulations.Show a proactive approach to learning and staying updated with industry trends.Demonstrate the ability to document and share methodologies and findings.Have experience with version control systems like Git.Be able to work in a hybrid model with day shifts.
Certifications Required
Certified Data Scientist (CDS) Python for Data Science Certification
