to join our team. The ideal candidate should have basic knowledge of data analysis, machine learning concepts, and strong problem-solving skills. You will work closely with senior data scientists to collect, clean, analyze data, and assist in building predictive models and dashboards.
Key Responsibilities
Assist in
data cleaning, preprocessing, and exploratory data analysis (EDA)
.
Support development of
machine learning models
under guidance of senior team members.
Work with tools like
Python, SQL, Excel, Power BI/Tableau
for data analysis and reporting.
Help in preparing project documentation, reports, and visualization dashboards.
Collaborate with cross-functional teams to understand data needs and propose solutions.
Research and implement new algorithms, frameworks, and techniques when required.
Maintain datasets and ensure data integrity and quality.
Required Skills
Strong understanding of
Python
(NumPy, Pandas, Matplotlib, Scikit-learn).
Good knowledge of
statistics
,
probability
, and
data analysis methods
.
Basic understanding of
machine learning algorithms
(regression, classification, clustering, etc.).
Familiarity with
SQL queries
and data manipulation.
Ability to visualize data using
Power BI, Tableau
, or Python libraries.
Good communication, analytical thinking, and problem-solving skills.
Preferred / Bonus Skills
Exposure to
Jupyter Notebook
,
Git/GitHub
,
Google Colab
.
Knowledge of
big data tools
like Hadoop/Spark is an advantage (optional).
Experience with
API handling
and basic cloud knowledge (
AWS/GCP/Azure
) preferred.
Educational Qualification
Pursuing or recently completed
B.Tech / B.E. / B.Sc / M.Sc / MCA / MBA
in
Computer Science, IT, Data Science, Mathematics, Statistics, or related fields.
Job Type: Full-time
Pay: ?5,000.00 per month
Work Location: In person
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