DataBeat - Junior Data Scientist - Machine Learning (3-4 yrs)

Job Summary :

As a Junior Data Scientist, you will play a crucial role in extracting valuable insights from data to support business decisions.

You will work on various data-driven projects, assisting in data collection, cleaning, analysis, modeling, and visualization.

This role provides an excellent opportunity to learn and grow within a collaborative team, contributing to the development and implementation of statistical models and machine learning algorithms.

Responsibilities :

Data Acquisition and Preprocessing :

- Collect, clean, and preprocess data from diverse sources, including databases, APIs, and files.

- Perform data validation and quality checks to ensure data accuracy and consistency.

- Handle missing data, outliers, and other data anomalies.

Data Analysis and Exploration :

- Conduct exploratory data analysis (EDA) to identify patterns, trends, and relationships within data.

- Generate descriptive statistics and visualizations to summarize data and communicate findings.

- Apply statistical methods to test hypotheses and draw meaningful conclusions.

Model Development and Implementation :

- Assist in the development and implementation of statistical models and machine learning algorithms, including regression, classification, and clustering.

- Evaluate model performance and iterate on model design to improve accuracy.

- Implement and use Deep Learning models.

- Implement and use LLMs and GenAI models.

Data Visualization and Reporting :

- Create compelling data visualizations and dashboards using tools like Matplotlib, Seaborn, or similar.

- Communicate insights and findings effectively to stakeholders through reports and presentations.

Collaboration and Communication :

- Collaborate with senior data scientists, engineers, and business stakeholders to understand requirements and deliver solutions.

- Participate in code reviews and adhere to best practices in data science and software development.

- Independently manage tasks and take ownership of assigned responsibilities.

- Work with clients to gather requirements and present findings.

Requirements :

Education : Bachelor's degree in data science, Computer Science, Statistics, Mathematics, or a related quantitative field.

Experience : 3+ years of experience in data science, data analysis, or a related role.

Technical Skills :

- Strong proficiency in Python programming.

- Experience with data analysis libraries (pandas, NumPy).

- Experience with machine learning frameworks (scikit-learn).

- Experience with Deep learning frameworks (Tensorflow, Pytorch).

- Understanding of LLMs and GenAI models.

- Knowledge of data visualization tools (Matplotlib, Seaborn).

- Understanding of basic statistical methods and data modeling techniques.

- Basic SQL knowledge.

Soft Skills :

- Excellent problem-solving and analytical skills.

- Strong communication and presentation skills.

- Ability to work effectively in a team environment.

- Strong attention to detail and commitment to quality.

- Ability to work independently and take responsibility.

- Ability to work directly with clients.

Preferred Qualifications :

- Master's degree in a related field.

- Experience with cloud platforms (AWS, Azure, Google Cloud).

- Experience with database systems (SQL).

- Experience with data engineering tools.

- Experience with advanced statistical modeling techniques