
Data Scientist
2 weeks ago
Description :
Data Scientist
Location : / Remote | Full-time | Experience : 35 Years
Were looking for a Data Scientist whos eager to turn data into meaningful insights and intelligent products. If you enjoy working with large datasets, building predictive models, and collaborating with product teams to shape data-driven strategies, this is the role for you.
About :
Gloify is a leading product development and software engineering company helping startups and enterprises build scalable, high-performance digital solutions. We specialize in end-to-end technology services from product design and development to data engineering and cloud solutions. With a focus on innovation and quality, Gloify empowers businesses to accelerate growth through technology.
What Youll Do :
- Develop, train, and deploy predictive and analytical models using advanced ML and statistical techniques.
- Work extensively on Azure Databricks (or AWS Databricks) for feature engineering and model development.
- Manage and analyze structured and unstructured data using Azure Database services and data lakes.
- Collaborate with data engineers and business teams to translate complex requirements into practical solutions.
- Perform exploratory data analysis, uncover patterns, and generate actionable insights.
- Optimize models for performance, scalability, and real-world reliability.
- Clearly document and communicate findings to both technical and non-technical audiences.
What You Bring :
years of proven experience as a Data Scientist or in a related analytical role.
- Hands-on expertise with Azure Databricks (or AWS Databricks).
- Strong working knowledge of Azure Database services.
- Proficiency in Python and SQL, plus ML libraries such as scikit-learn, TensorFlow, or PyTorch.
- Strong foundation in statistics, machine learning, and data modeling.
- Experience with visualization tools like Power BI, Tableau, or matplotlib/seaborn.
- Comfortable working with large datasets and cloud platforms.
Bonus Points :
- Certifications in Azure or Databricks.
- Experience deploying models to production environments.
- Familiarity with MLOps tools and CI/CD.
- Excellent analytical, problem-solving, and communication skills.
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