Careers

Position Summary:

A Data Scientist uses advanced analytical techniques, machine learning, and statistical tools to extract insights from complex datasets. This role requires a combination of technical expertise, business acumen, and a problem-solving mindset to guide data-driven decision-making. Data Scientists collaborate with cross-functional teams to develop predictive models, optimize processes, and deliver actionable insights.

Key Responsibilities:

• Analyze structured and unstructured data to identify trends, patterns, and correlations.
• Translate complex data findings into clear and actionable insights for stakeholders.
• Collect, process, and clean large datasets to ensure quality and consistency.
• Develop automated data pipelines for streamlined data access.
• Build, test, and deploy machine learning models to solve business challenges.
• Perform feature engineering and optimize models for accuracy and performance.
• Conduct hypothesis testing and use statistical methods to validate findings.
• Develop algorithms and statistical models to support decision-making.
• Work closely with stakeholders to understand business objectives and translate them into data science projects.
• Present results through dashboards, reports, and visualizations.
• Use programming languages such as Python, R, or SQL for data manipulation and analysis.
• Leverage big data tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) as needed.
• Stay updated on the latest data science trends, tools, and methodologies.
• Experiment with emerging technologies to improve current processes and solutions.

Required Skills and Qualifications:

• Strong programming skills in Python, R, or similar languages.
• Proficiency in SQL for database querying and management.
• Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Knowledge of big data platforms (e.g., Hadoop, Spark) and cloud services.
• Expertise in statistical analysis, data modeling, and algorithm design.
• Strong problem-solving abilities to derive insights from ambiguous data.
• Excellent communication and presentation skills to convey complex data insights to non-technical audiences.
• Team-oriented with the ability to collaborate effectively across departments.

Educational Background

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Certifications in data science or machine learning (e.g., Google Data Engineer, AWS Certified Machine Learning) are a plus.

Experience:

• 2+ years of experience in data science or a related analytical role.
• Demonstrated success in solving real-world problems through data science projects.

Position Summary

The Data Analyst specializes in transforming raw data into actionable insights through meticulous data cleaning and advanced visualization techniques. Using tools like Power BI, Tableau, and Excel, this role focuses on preparing high-quality datasets and creating interactive dashboards to support decision-making across the organization

Key Responsibilities:

• Collect, organize, and preprocess raw data from various sources to ensure quality and accuracy.
• Address data inconsistencies, missing values, and duplicate entries to maintain a reliable dataset.
• Design and develop interactive dashboards and reports using Power BI, Tableau, or similar tools.
• Use data storytelling techniques to convey complex findings in a visually engaging and comprehensible manner.
• Maintain and update dashboards to reflect real-time data and changing business needs.
• Partner with business units to understand reporting requirements and deliver tailored visualizations.
• Present insights and recommendations to stakeholders, ensuring alignment with business objectives.
• Analyze trends and patterns to identify opportunities for process improvements or growth.
• Generate summary statistics and reports to support strategic planning and decision-making.
• Automate data preparation and reporting processes using scripts or advanced features within Power BI and Tableau.
• Optimize dashboards for performance and scalability.
• Document data cleaning processes, dashboard usage guidelines, and data governance practices.
• Provide training to end-users on interpreting and using dashboards effectively.

Required Skills and Qualifications:

• Proficiency in Power BI, Tableau, and Excel for data visualization and reporting.
• Experience in data cleaning using SQL, Python, or Excel (e.g., Pivot Tables, VLOOKUP).
• Knowledge of data modeling and relational database concepts.
• Familiarity with DAX (Data Analysis Expressions) and Power Query for advanced Power BI functionalities.
• Strong attention to detail for identifying data discrepancies and ensuring accuracy.
• Ability to interpret data and deliver insights that drive business value.
• Excellent communication skills to present complex data visually and verbally to non-technical audiences.
• Strong problem-solving abilities and adaptability to evolving business needs.
• Collaborative mindset for working with cross-functional teams.

Educational Background:

• Masters in Engineering any discipline with relevant experience in data science.
• Certifications in Power BI, Tableau, or data analytics (e.g., Tableau Desktop Specialist, Microsoft Data Analyst Associate) are a plus.

Experience

• 1–3 years of experience in data cleaning, visualization, or a related field.
• Hands-on experience creating dynamic dashboards for business applications.