Roles & Responsibilities
We are seeking a highly skilled and motivated Data Scientist to join our team and drive data-driven decision-making across the organization. The role requires a unique blend of business acumen, technical expertise, and storytelling ability. You will collaborate with stakeholders to understand business challenges, translate them into data science problems, and develop actionable insights through advanced analytics and machine learning. Beyond analysis, you will communicate results through impactful narratives and visualizations, enabling stakeholders to make informed, strategic decisions.
Key Responsibilities
- Facilitate discussions with stakeholders to understand their business challenges, sharpen use cases, and translate them into data science projects.
- Perform data cleaning, preprocessing, feature engineering, and build robust data science models to address identified use cases.
- Present findings, gather feedback, and iterate in collaboration with stakeholders while managing overall project timelines.
- Communicate insights in a clear and compelling narrative, supported by impactful data visualizations, to influence key decision-makers.
- Design dashboards and interactive visualizations as tools for data exploration and storytelling, depending on the use case.
- Translate business use cases into analytical problems and identify appropriate data sources for problem-solving.
Experience & Skills
Needed Strong ability to translate business problems into analytical frameworks and select suitable data sources.Proficiency in scripting for data preparation and analysis using modern tools and programming languages (e.g., Python, R, SQL).Skilled in cleaning, imputing, and correcting anomalies in structured and unstructured datasets to ensure high data quality.Hands-on experience in exploring and analyzing datasets, applying probability and statistical techniques to uncover insights.Proven ability to build, validate, and deploy machine learning models for pattern recognition, prediction, and optimization. Strong grounding in data visualization design principles and experience with tools (e.g., Tableau, Power BI, matplotlib, seaborn, Plotly) to effectively communicate insights. Excellent communication and presentation skills to convey complex data findings to non-technical stakeholders.Tell employers what skills you have
Tableau
Microsoft Excel
Business Acumen
Data Management
Scripting
Data Quality
Python
Presentation Skills
Prediction
Data Science
Pattern Recognition
Storytelling
Data Analytics
Power BI
Matplotlib
Data Visualization