Data Scientist

We are seeking an experienced and highly skilled Data Scientist with extensive experience in PowerBI to join our team. The ideal candidate will have a deep understanding of data analytics, visualization techniques, and advanced statistical methods, with a particular focus on leveraging PowerBI to drive data-driven insights. This role involves collaborating with cross-functional teams to transform complex data into actionable insights that inform business decisions

Analyze large datasets from various sources to identify trends, patterns, and actionable insights.
Develop and implement machine learning models to solve complex business problems.
Design and create interactive and visually appealing dashboards and reports using PowerBI.
Applies business acumen in analyses to extract meaningful and actionable information.
Communicates complex ideas and insights effectively to stakeholders with various levels of technical experience.
Engages in the collection, integration, analysis, and presentation of data for various business contexts.
Leverages various analytical techniques, appropriate to solving the business problem at hand.
Performs research for solutions and solves problems efficiently to overcome data analytics challenges.
Understands good software development practices (versioning, peer reviews, refactoring, and pair programming), adapts them to the needs of the team and sets an example for others by following them.

Required Skills (Must have)

Tech

Strong proficiency in PowerBI, including report development, DAX formulas, and Power Query.
Solid understanding of data analysis techniques, including statistical modeling, machine learning, and data wrangling.
Knowledge on connecting to multiple data sources through Power BI is required
Strong expertise in Power BI (Power Query, DAX, Advanced DAX calculations, RLS, API, M language, Performance Tuning)
Intermediate programming knowledge in Python and SQL.
Intermediate knowledge in Probability and Statistics, including hypothesis testing.
Intermediate knowledge in Practical Machine Learning and awareness of the key-pitfalls in the practice of machine learning and approaches to addressing them.
Intermediate knowledge of MS Office applications namely MS Excel, MS PowerPoint, and MS Word.

Non Tech :

Ability to present findings to a non-technical audience.
Strong written skills. This is required for submitting technical papers, whitepapers, and developing project documentations.
Ability to work independently to develop data science solutions, while also being able to work as part of a team to communicate findings and collaborate on solutions.
Ability to storyboard an entire presentation to a non-technical audience.

Preferred Qualifications

2-4 years of experience as a Data Scientist, with a focus on PowerBI for data visualization and reporting.