Job Title: Data Scientist

Skills: Python, Machine Learning, SQL, AWS or Azure Synapse, Time Series

Experience - 3+ Years

Location: Bangalore, India

Job Description:

About Quation

We specialize in delivering synergistic solutions that enable businesses to make informed decisions. With 200+ years of cumulative experience, our leaders strive to create customized solutions that empower Fortune companies to make better decisions. We deliver tangible and measurable benefits through advanced analytics solutions.
Quation is a forward-thinking organization that is committed to delivering high-quality services to its clients. We are known for our expertise in specialized fields viz. Technology, Supply Chain Analytics, Data Engineering, Data Warehousing, and Marketing Analytics.
Our goal is to help businesses achieve their objective by providing them with the tools, information, and resources that they need to succeed. Quation provides exceptional customer service and builds long-term relationships.
Data is an asset! When harnessed, it effectively enhances performance, fosters efficiency, and accelerates growth in real-time.
At Quation, we believe that the field of analytics is constantly evolving. To stay abreast with the latest trends and technologies, we make significant investments in learning and development.
With deep domain expertise and core technical knowledge, our products and services provide our customers with a vital competitive edge. We create a world where understanding the complex intricacies of businesses becomes easier.
Our USP is our ability to leverage artificial intelligence to help businesses solve complex problems and make data-driven decisions. We analyze vast amounts of data quickly and accurately, providing insights that would be difficult or impossible to obtain through traditional methods.
We help businesses automate processes, improve efficiency, reduce costs, and gain a competitive advantage in the marketplace.

Key Responsibilities:

• Develop and deploy machine learning models, including regression, classification, time series analysis, and natural language processing (NLP) techniques.
• Utilize Python to design and implement data science solutions.
• Work with SQL to query, manipulate, and analyze large datasets.
• Implement data solutions on AWS or Azure Synapse, with a preference for candidates experienced with Azure Synapse.
• Apply a comprehensive understanding of data warehousing concepts and work hands-on with ETL tools and enterprise databases.
• Collaborate with cross-functional teams to understand business requirements and translate them into data science projects.
• Communicate findings and insights to stakeholders through reports, dashboards, and presentations.
• Stay updated with the latest advancements in machine learning and data science.

Requirements:

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• Proven experience as a Data Scientist, with strong skills in Python and machine learning techniques.
• Proficiency in SQL for data manipulation and analysis.
• Hands-on experience with AWS or Azure Synapse, with a preference for Azure Synapse.
• Strong understanding of data warehousing concepts and experience with ETL tools and enterprise databases.
• Experience with machine learning techniques such as regression, classification, time series analysis, and NLP.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to present complex information in a clear and concise manner.

Preferred Qualifications:

• Master’s degree in a relevant field.
• Familiarity with additional cloud platforms and big data technologies.
• Certification in AWS, Azure, or relevant technologies.