Data Scientist
Data Scientist
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Job Description
About Wildnet Technologies:
Wildnet Technologies is an awardwinning White Label Digital Marketing and IT Services with a track record of helping businesses and Google Partner Agencies achieve their goals. We offer a comprehensive range of highquality Digital Marketing Services and OnDemand Technology Resources. With over 12000 successful projects delivered to date our team of 300 professionals is headquartered in India and serves clients in the United States Canada Australia and the United Kingdom. Our expertise includes SEO Paid Search Paid Social Services programmatic advertising and more.
Overview:
We are seeking an experienced and passionate Senior Data Scientist to join our growing team. The ideal candidate will have handson experience in deploying machine learning models managing large datasets and driving automation through data. You will play a critical role in designing and implementing datadriven strategies for network operations and management automation. This position involves close collaboration with crossfunctional teams and stakeholders to build scalable models and deliver impactful insights.
Responsibilities:
Develop deploy and maintain advanced machine learning models in production.
Solve optimization problems and manage large datasets 100K to millions of records).
Use cloud platforms and big data tools to extract and process data at scale.
Work closely with VNF Kubernetes platforms and data pipelines to support platform performance.
Automate data sourcing and integration from various channels.
Perform data mining trend analysis and statistical modeling.
Present complex analytical findings in a clear and actionable manner.
Collaborate with crossfunctional teams to develop datadriven solutions for business needs.
Support issue resolution and optimization of data platforms.
Requirements:
Bachelors or Masters degree in Computer Science Engineering Data Science or a related quantitative field.
Strong experience in machine learning AI and statistical analysis.
Proficiency in Python PySpark SQL and RESTful APIs (e.g. Flask).
Familiarity with tools like Hadoop PostgreSQL MongoDB and Yuga Byte.
Experience working with cloudnative deployments and realworld product implementation.
Strong communication skills with the ability to explain technical concepts to nontechnical audiences.
Demonstrated experience in endtoend ML model lifecycle from development to deployment.
Nice to Have:
Exposure to ensemble modeling and data network automation.
Experience working in telecom or largescale tech environments.
Benefits:
Competitive salary and performancebased bonuses
Flexible working environment
Health and wellness benefits
Opportunities for continuous learning and professional development
Work with a global innovationdriven team
Employment Type
Full Time
