Machine Learning, Predictive Analytics, and Data Automation
to join our data-driven team. The ideal candidate will be responsible for developing predictive models, analyzing complex datasets, and delivering actionable insights that drive strategic business decisions across domains such as
Finance, Digital Marketing, and Customer Analytics
.
Key Responsibilities:
Design, develop, and deploy
machine learning models
for classification, regression, and predictive analytics.
Conduct
A/B testing
,
propensity modeling
, and advanced statistical analysis to support business decisions.
Build and maintain
dashboards and visualization reports
using
Tableau
,
Power BI
, or
Quicksight
.
Automate data extraction and processing using tools like
Python
,
Selenium
, and
UiPath
.
Work with
cloud platforms
(AWS, GCP) and manage large datasets using
Athena, BigQuery, or MySQL
.
Collaborate with cross-functional teams to improve marketing ROI and customer acquisition strategies.
Provide data-driven recommendations to improve business performance and reduce operational costs.
Ensure compliance with data governance and security standards.
Required Skills & Competencies:
Proven experience (5-10 years) in
Data Science, Machine Learning, or Predictive Analytics
.
Strong knowledge of
Python, R, and SQL
.
Hands-on experience with
data visualization tools
- Tableau, Power BI, Quicksight, or Excel.
Experience in
cloud platforms
- AWS (S3, EC2, Lambda) and GCP (BigQuery, Cloud Storage).
Proficiency in
statistical modeling, clustering, NLP, and regression techniques
.
Experience with
automation tools
like Selenium and UiPath.
Strong communication, problem-solving, and analytical skills.
Educational Qualifications:
Master's degree
in Data Science, Computer Science, Statistics, or related field.
Certifications:
Python for Data Science (IIT Madras), Six Sigma Yellow Belt (VMEdu Inc), preferred.
Job Type: Full-time
Benefits:
Health insurance
Work Location: In person
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