17 DataBeat Jobs
DataBeat - Junior Data Scientist - Machine Learning (3-4 yrs)
DataBeat
posted 5d ago
Flexible timing
Key skills for the job
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
Functional Areas: Other
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