6 months of practical training, internship, or project experience
in the data science field.
This is an exciting opportunity to apply your analytical and problem-solving skills to real-world datasets while working closely with experienced data scientists and engineers.
Key Responsibilities
Assist in
data collection, cleaning, and preprocessing
from various sources.
Support the team in
building, evaluating, and optimizing ML models
.
Perform
exploratory data analysis (EDA)
to derive insights and patterns.
Work on
data visualization
dashboards and reports using tools like Power BI, Tableau, or Matplotlib/Seaborn.
Collaborate with senior data scientists and domain experts on ongoing projects.
Document findings, code, and models in a structured manner.
Continuously learn and adopt new techniques, tools, and frameworks.
Required Skills & Qualifications
Education:
Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
Experience:
Minimum
6 months internship/training
in data science, analytics, or machine learning.
Technical Skills:
Proficiency in
Python
(Pandas, NumPy, Scikit-learn, etc.).
Understanding of
machine learning algorithms
(supervised/unsupervised).
Knowledge of
SQL
and database concepts.
Familiarity with
data visualization
tools/libraries.
Basic understanding of statistics and probability.
Soft Skills:
Strong analytical thinking and problem-solving ability.
Good communication and teamwork skills.
Eagerness to learn and grow in a dynamic environment.
Good to Have (Optional)
Exposure to
cloud platforms
(AWS, GCP, Azure).
Experience with
big data tools
(Spark, Hadoop).
Knowledge of
deep learning frameworks
(TensorFlow, PyTorch).
What We Offer
Opportunity to work on
real-world data science projects
.
Mentorship
from experienced professionals in the field.
A collaborative, innovative, and supportive work environment.
Growth path to become a
full-time Data Scientist
with us.
Job Types: Full-time, Permanent, Fresher
Pay: ?10,000.00 - ?15,000.00 per month
Benefits:
Health insurance
Schedule:
Day shift
Fixed shift
Monday to Friday
Application Question(s):
have you done your 6 month training ?
Education:
Bachelor's (Preferred)
Language:
English (Preferred)
Work Location: In person
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