Job Description

Data Collection and Preparation:

Gathering data from various sources, ensuring data quality, and cleaning and transforming data into usable formats for analysis.

Data Analysis and Interpretation:

Using statistical methods, machine learning algorithms, and other analytical techniques to explore data, identify trends, and uncover insights.

Model Building and Evaluation:

Developing and evaluating predictive models to forecast future outcomes or identify patterns.

Data Visualization:

Creating visual representations of data (charts, graphs, dashboards) to effectively communicate findings to stakeholders.

Communication and Collaboration:

Clearly explaining findings, making data-driven recommendations, and collaborating with cross-functional teams to implement solutions.
Skills Required for a Data Scientist:

Programming:

Strong programming skills in languages like Python or R, including proficiency in data manipulation and analysis libraries (e.g., Pandas, NumPy).

Statistics and Mathematics:

A strong foundation in statistical concepts, probability, and linear algebra.

Machine Learning:

Understanding and applying various machine learning algorithms and techniques.

Data Visualization:

Proficiency in tools like Tableau, Power BI, or other visualization software.

Communication:

Ability to effectively communicate technical findings to both technical and non-technical audiences.

Problem-solving:

Strong analytical and problem-solving skills to identify and address complex data-related challenges.
Job Types: Full-time, Permanent, Fresher

Pay: ?20,000.00 - ?25,000.00 per month

Benefits:

Cell phone reimbursement Health insurance Internet reimbursement Leave encashment
Work Location: In person