About the Organization:

Data Tech Alepha IT Solutions Pvt Ltd is a dynamic and innovative company specializing in leveraging data to drive business growth and provide cutting-edge IT solutions. We are committed to transforming raw data into actionable insights for our clients, enabling them to make informed decisions and achieve their strategic objectives. Our culture is built on collaboration, continuous learning, and a passion for data-driven problem-solving. We offer a stimulating environment where talented individuals can thrive and contribute to impactful projects.

Roles and Responsibilities:

• Develop and implement advanced statistical models and machine learning algorithms to analyze complex datasets.
• Clean, preprocess, and transform large volumes of data from various sources to ensure data quality and integrity.
• Design and execute experiments to test hypotheses and validate findings.
• Build and maintain data pipelines for efficient data extraction, transformation, and loading.
• Visualize data and present findings through compelling reports and dashboards using tools like Tableau or Power BI.
• Collaborate with cross-functional teams to understand business needs and translate them into data science solutions.
• Apply deep learning techniques and Natural Language Processing (NLP) for advanced text and pattern analysis.
• Perform feature engineering to enhance the predictive power of models.
• Utilize Big Data technologies to handle and process massive datasets effectively.
• Contribute to the development of quantitative analysis frameworks and business acumen within the team.

Requirements:

• Currently pursuing or recently completed a degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.
• Demonstrated understanding of statistical concepts, machine learning, and data analysis techniques.
• Familiarity with programming languages commonly used in data science, such as Python and R.
• Experience with SQL for data extraction and manipulation.
• Knowledge of data visualization tools like Tableau or Microsoft Power BI.
• Understanding of deep learning frameworks like TensorFlow is a plus.
• Exposure to Big Data concepts and technologies.
• Proficiency in Natural Language Processing (NLP) and feature engineering.
• Strong business acumen and logical reasoning abilities.
• Understanding of probability and quantitative analysis.

Skills and Qualifications:

• Candidates should possess a strong command of Python and R for data analysis and model development, coupled with a solid understanding of Machine Learning and Deep Learning principles.
• A firm grasp of Statistics, Probability, and Quantitative Analysis is essential, alongside practical experience with SQL and Big Data technologies for effective data management and processing.
• Proficiency in data visualization tools such as Tableau and Microsoft Power BI, combined with expertise in Natural Language Processing, Feature Engineering, and Business Acumen, will be key to success in this role.