Data Scientist - SQL/Python

Zorba Consulting

5 - 10 years

5 - 10 Lacs

Gurgaon Haryana India

Posted:1 week ago| Platform: Foundit logo

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Skills Required

data matching techniques Data Validation data acquisition

Work Mode

On-site

Job Type

Full Time

Job Description

Data Scientist

Roles & Responsibilities:

Conduct continuous data exploration and analysis to identify opportunities for enhancing data matching logic and improving data quality within the SCI solution.
Perform various analyses specifically aimed at improving data quality, which includes identifying data quality issues, proposing solutions, and implementing improvements.
Participate in weekly playback sessions using
Jupyter Notebook
to demonstrate data insights and analysis.
Support the scaling of the SCI project by assisting with data acquisition, cleansing, and validation processes for new markets.
Perform thorough data analysis and validation of SCI records after batch ingestion.
Coordinate with business stakeholders to facilitate the manual validation of records.
Communicate findings and recommendations clearly and effectively to a variety of audiences.

Skills Required:

Strong proficiency in
Python
and
SQL
.
Extensive experience using
Jupyter Notebook
for data analysis and visualization.
Working knowledge of
data matching techniques
, including
fuzzy logic
.
Experience working with large datasets from various sources (Excel, databases, etc.).
Solid understanding of
data quality principles
and methodologies.
Strong problem-solving, analytical, and communication skills.
Experience with
data cleansing, data validation, and data acquisition
.
Familiarity with cloud computing platforms (e.g.,
AWS, Azure, GCP
) is a plus.
Experience with data visualization tools (e.g.,
Tableau, Power BI
) is a plus.
Knowledge of statistical modeling and machine learning algorithms is a plus.

QUALIFICATION:

Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Computer Science, or a related field, or equivalent practical experience.

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