Ezeiatech Systems - Data Scientist - Machine Learning Ezeiatech
Ezeiatech
Office Location
Full Time
Experience: 2 - 2 years required
Pay:
Salary Information not included
Type: Full Time
Location: Haryana
Skills: Data Analysis, Exploratory data analysis, Statistical Analysis, Data Visualization, Communication, Monitoring, Python, NumPy, SQL, Analytical skills, Data Preprocessing, Machine Learning Model Development, Model deployment, Pandas, Scikitlearn, Tensorflow, PyTorch, machine learning algorithms, Statistical Methods, Data visualization tools, Problemsolving, cloud platforms
About Ezeiatech
Job Description
Job Title : Data Scientist Location : Gurugram Experience : 2-6Years Job Description Responsibilities : Data Analysis And Exploration Analyze large datasets to identify trends, patterns, and insights. Perform exploratory data analysis (EDA) to understand data characteristics and relationships. Develop and implement data preprocessing and cleaning techniques. Machine Learning Model Development Design, develop, and evaluate machine learning models for various applications (prediction, classification, clustering). Select and implement appropriate algorithms and techniques based on project requirements. Optimize model performance and ensure Analysis : Apply statistical methods to analyze data and draw meaningful conclusions. Conduct hypothesis testing and statistical modeling. Develop and interpret statistical reports and visualizations. Data Visualization And Communication Create compelling visualizations to communicate data insights to technical and non-technical audiences. Develop dashboards and reports to monitor key performance indicators (KPIs). Present findings and recommendations to and Communication : Collaborate with engineers, product managers, and other stakeholders to define project requirements and deliver solutions. Communicate complex technical concepts clearly and effectively. Contribute to the development of data science best practices. Model Deployment And Monitoring Deploy machine learning models into production environments. Monitor model performance and retrain models as needed. Qualifications Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. 2-6 years of experience in data science. Strong proficiency in Python and relevant libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Experience with SQL and database management. Solid understanding of machine learning algorithms and statistical methods. Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn). Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Experience with cloud platforms (AWS, Azure, GCP) is a plus. (ref:hirist.tech),