Predictive Modeling Specialist

ti Steps

2 - 5 years

3 - 6 Lacs

hyderabad chennai bengaluru

Posted:1 month ago| Platform:

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Skills Required

data science artificial intelligence statistical modeling machine learning analytics advanced analytics research data analytics statistics python

Work Mode

Work from Office

Job Type

Full Time

Job Description

About the Role:

Predictive Modeling Specialist

Key Responsibilities:

Model Development:

Design and develop
predictive models
using machine learning and statistical techniques (e.g., regression, decision trees, ensemble methods, clustering, time series).
Apply techniques such as
feature engineering, model tuning, cross-validation,
and
model performance evaluation
(e.g., ROC, AUC, RMSE, precision/recall).
Build and maintain
scalable, production-grade models
for use in areas such as customer behavior prediction, risk scoring, demand forecasting, fraud detection, and more.

Data Exploration & Preparation:

Analyze and transform large structured and unstructured datasets using SQL, Python, R, or other tools.
Perform
EDA (exploratory data analysis)
to understand data trends, identify anomalies, and prepare data for modeling.
Collaborate with data engineers to source, clean, and prepare data pipelines for modeling.

Preferred Qualifications:

Experience working with cloud platforms (AWS, Azure, GCP) and tools like
SageMaker
,
Databricks
, or
BigQuery ML
.
Knowledge of
time series forecasting
,
survival models
, or
NLP
is a plus.
Experience with
version control
(Git) and
Agile/Scrum
development processes.
Exposure to
MLOps pipelines
, containerization (Docker), or model deployment frameworks (MLflow, Airflow, etc.).
Domain knowledge in
finance, insurance, healthcare, e-commerce
, or
marketing analytics
is a bonus

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