The Careers Factory Hiring! Full Time Data Scientist - Data Analyst in - Ricebowl

The Data Scientist / Data Analyst is responsible for collecting, processing, analyzing, and interpreting data to generate valuable insights that support business strategy, operational efficiency, and data-driven decision-making. This role combines analytical expertise, statistical knowledge, and technical skills to solve complex business problems and identify growth opportunities.

The position involves gathering data from multiple sources, cleaning and validating datasets, and ensuring data accuracy and integrity. The Data Scientist / Data Analyst works closely with business stakeholders to understand organizational objectives and transform raw data into meaningful information.

A key responsibility includes conducting exploratory data analysis, statistical analysis, and predictive modeling to identify trends, patterns, and correlations within large datasets. The role develops reports, dashboards, and visualizations that communicate insights clearly to both technical and non-technical audiences.

The Data Scientist / Data Analyst also supports forecasting, performance measurement, and business intelligence initiatives. This includes analyzing customer behavior, operational metrics, financial performance, and market trends to provide actionable recommendations.

In addition, the position may develop machine learning models, automate reporting processes, and build analytical frameworks that improve efficiency and support strategic decision-making. The role ensures that analytical solutions are accurate, scalable, and aligned with business objectives.

The role collaborates with departments such as finance, marketing, operations, technology, and leadership teams to deliver data-driven solutions and improve business performance. Strong problem-solving abilities and attention to detail are essential for success.

The Data Scientist / Data Analyst plays a critical role in helping organizations leverage data as a strategic asset, enabling smarter decisions, improved operations, and sustainable growth.

• Strong analytical, statistical, and problem-solving skills.
• Proficiency in Python, R, SQL, or similar data analysis tools.
• Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
• Strong understanding of statistics, probability, and data modeling techniques.
• Ability to clean, process, and analyze large datasets.
• Knowledge of machine learning concepts and predictive analytics is an advantage.
• Strong critical-thinking and analytical reasoning abilities.
• Ability to identify trends, patterns, and actionable business insights.
• Experience with databases, SQL queries, and data management practices.
• Excellent written and verbal communication skills.
• Ability to present technical findings to non-technical stakeholders.
• High attention to detail and commitment to data accuracy.
• Strong organizational and project management skills.
• Ability to work effectively with cross-functional teams.
• Commitment to continuous learning, innovation, and data-driven decision-making.