Junior Data Scientist (Kubernetes)

Are you a passionate and driven Junior Data Scientist eager to make a significant impact? Tech Solutions.ae is actively seeking a talented Junior Data Scientist to join our dynamic Targeting Team. This is an exceptional opportunity for Indian candidates looking to leverage their data science skills in the US market, contributing to critical data operations, sophisticated targeting workflows, and in-depth analysis. If you thrive in a data-rich environment and possess a strong analytical mindset, we invite you to be a part of our growing global team.

As a Junior Data Scientist at Tech Solutions.ae, you will play a pivotal role in extracting insights from vast datasets and optimizing our targeting strategies. This position offers a unique chance to work on challenging projects that directly influence business outcomes, providing a clear pathway for professional growth and development within the data science domain.

Key Responsibilities

• Support and manage daily data operations, ensuring data integrity and accessibility for various projects.
• Contribute to the development and optimization of targeting workflows, identifying opportunities for efficiency and accuracy.
• Perform comprehensive data analysis to uncover trends, patterns, and actionable insights that drive strategic decisions.
• Execute data cleaning, transformation, and validation processes on large and complex datasets to maintain high data quality.
• Work with various structured and unstructured data formats, including CSV, XML, JSON, and integrate data through APIs.
• Collaborate closely with senior data scientists and other team members to implement data-driven solutions and reporting.
• Troubleshoot data-related issues and propose effective solutions to enhance data reliability.

Requirements

• Proven strong proficiency in Python programming, specifically with the Pandas library for data manipulation and analysis.
• Demonstrable experience with data cleaning, transformation, and validation techniques.
• Familiarity with handling and processing large, structured datasets.
• Basic understanding and practical experience with SQL for data querying and retrieval.
• Experience working with various data interchange formats such as CSV, XML, JSON, and integrating data via APIs.
• Exceptional attention to detail and strong problem-solving capabilities.
• Good to have: Exposure to big data technologies like Apache Spark and programming languages such as Scala.
• Good to have: Prior experience with cloud services like AWS S3, containerization tools such as Docker, and version control systems like Git/GitHub.
• Good to have: Knowledge of SFTP protocols and experience with healthcare data.

What We Offer

• An exciting opportunity to engage with and contribute to projects for the competitive US market.
• A supportive and collaborative remote work environment that fosters learning and professional growth.
• Flexibility to start on a part-time basis if you are currently serving a notice period.
• Exposure to cutting-edge data science tools and methodologies.
• The chance to be a part of a forward-thinking company that values innovation and data-driven insights.