Job Description

Job Title: Data Scientist - Machine Learning | Predictive Analytics | Big Data

Location:

Bangalore/Pune/Gurgaon

Job Type:

Full-Time |

Department:

Data Science & Analytics

About the Role

We are seeking a

highly analytical and technically skilled Data Scientist

to join our advanced analytics team. This is an excellent opportunity for candidates with a strong academic foundation in

quantitative fields

and hands-on experience with

machine learning

,

data modeling

, and

big data tools

.

As a Data Scientist, you will collaborate with cross-functional teams to tackle complex business challenges by applying statistical models, predictive algorithms, and advanced data analysis techniques. You will transform raw data into actionable insights that inform strategic decisions and drive measurable business outcomes.

Key Responsibilities

Design, build, and optimize

machine learning models

and

predictive analytics algorithms

for solving business problems. Apply

data mining

,

statistical analysis

, and

hypothesis testing

to uncover trends and business opportunities. Work with large-scale datasets using

cloud platforms

(AWS, GCP, or Azure) and

big data tools

(Spark, Hadoop, Hive). Build and maintain robust

ETL pipelines

for data integration and transformation from multiple sources. Develop

visualizations

and

dashboards

using tools such as

Tableau

,

Power BI

, or

Looker

to communicate findings to stakeholders. Perform

feature engineering

,

model evaluation

, and

hyperparameter tuning

to improve model accuracy and performance. Collaborate with business leaders, data engineers, and product managers to define data strategies and improve data infrastructure. Conduct

NLP

,

social media analytics

, or

recommender systems

based on business needs.

Required Qualifications

Bachelor's or Master's degree in

Computer Science

,

Data Science

,

Statistics

,

Applied Mathematics

, or a related field. 1-2 years of professional experience in

data science

,

analytics

,

machine learning

, or

business intelligence

. Strong proficiency in

Python

(pandas, NumPy, scikit-learn),

R

, or Javafor data processing and model development. Proficiency in

SQL

for querying large relational databases. Experience working with

cloud technologies

such as

AWS (S3, Redshift, SageMaker)

,

Google Cloud Platform (BigQuery, Vertex AI)

, or

Azure Synapse

. Solid understanding of

statistics

,

predictive modeling

, and

data visualization

.

Preferred Skills

Exposure to

deep learning frameworks

(TensorFlow, Keras, PyTorch). Familiarity with

data governance

,

data quality

, and

privacy compliance

(e.g., GDPR, HIPAA). Experience with

version control systems

like

Git

, and working in

agile development

environments. Ability to explain complex data concepts clearly to non-technical audiences and stakeholders.
Job Type: Full-time

Pay: ?1,200,000.00 - ?2,000,000.00 per year

Schedule:

Day shift Monday to Friday Morning shift
Experience:

Data science: 4 years (Required) Python: 4 years (Required) Hadoop Ecosystems: 2 years (Required) Cloud Platforms: 1 year (Required)
Work Location: In person