Job Description

InfinityMind Tech Pvt. Ltd., Software Development is seeking a skilled and analytical Data Scientist with 2 to 5 years of experience. The ideal candidate will apply machine learning, data mining, and statistical analysis techniques to generate insights, build predictive models, and support data-driven decision-making.

Key Responsibilities

• Data Analysis & Exploration: Perform exploratory data analysis (EDA) to identify trends, patterns, and relationships in large datasets.
• Model Development: Develop, implement, and optimize machine learning and statistical models to solve real-world business problems..
• Data Processing & Transformation: Clean, preprocess, and transform raw data into formats suitable for analysis and modeling.
• Insights Generation: Generate actionable insights and communicate findings to stakeholders using data visualization techniques.
• Collaborate Across Teams: Work closely with software engineers, data engineers, and business stakeholders to integrate data solutions within existing systems.
• Documentation & Reporting: Document models, processes, and findings in a clear and concise manner.

Preferred Qualifications

• Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Experience with Big Data technologies (e.g., Hadoop, Spark) is a plus.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud is an advantage.

Required Skills

• Technical Skills: Proficiency in Python or R for data analysis and modeling. Experience with SQL for data manipulation and querying. Knowledge of machine learning libraries (e.g., scikit-learn, TensorFlow, Keras). Strong skills in data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Analytical Skills: Solid understanding of statistics, probability, and hypothesis testing. Ability to analyze complex datasets and interpret findings accurately.
• Problem-Solving Skills: Strong analytical thinking and problem-solving skills with an ability to work with minimal supervision.
• Communication Skills: Ability to present technical concepts to non-technical stakeholders effectively. Excellent written and verbal communication skills.