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ValueMomentum
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Data Scientist

Data Scientist

ValueMomentum

5 - 8 years

0 Lacs

hyderabad telangana india

Posted:2 days ago| Platform:

Apply

Skills Required

data analysis analytics resolve formatting learning analyze design model test correlation sql databricks api azure database management engineering encoding scaling

Work Mode

On-site

Job Type

Contractual

Job Description

Overview

Candidate who excels at preparing raw data for analysis and has the expertise to derive actionable features for analytics and machine learning.

Candidate will be involved in the full data lifecycle—from ingestion and cleaning to modeling and feature engineering.

Experience

Key Responsibilities

Data Collection & Organization
: Gather raw data from diverse sources and structure it into usable formats.
Data Cleaning
: Identify and correct errors, handle missing values, and resolve formatting inconsistencies.
Data Transformation
: Reshape and restructure datasets to meet analytical requirements.
Data Analysis & Modeling
: Apply statistical and machine learning techniques to analyze data and build predictive models.
Feature Engineering
: Design, create, and select meaningful features from raw data to improve model performance and interpretability.
Experimentation
: Design and execute experiments to test hypotheses and measure impact.
Visualization
: Create compelling visualizations and dashboards to communicate findings. (ex. SHAP, Features, Correlation, etc)

Technical Skills

Proficiency in
SQL and Python
, for data manipulation, analysis, and automation.
Experience in Databricks, API ingestion
Experience in Jupyter, DBeaver, SSMS Dev Tools
Familiarity in Azure Cloud Platform
Experience with
machine learning libraries
(e.g., scikit-learn, etc.).
Strong knowledge of
database management systems
and
data wrangling tools
.
Familiarity with
feature engineering techniques
, including encoding, scaling, and dimensionality reduction.

Education & Experience

Bachelor’s degree in
Data Science
,
Computer Science
,
Statistics
, or a related field.
Prior experience in data wrangling, feature engineering, and data science roles is highly desirable.

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