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Data Scientist

💼 Full-time🗓 2026-07-27

Core

Transform data into actionable insights through analysis, modeling, and visualization to support business decision-making.

Role type

Data Scientist / Data Analyst

Builds

Dashboards, reports, and data-driven solutions

Domain

General business analytics and data science

Deliverable

dashboards & analysis

Required skills

SQL, Python, R, statistical analysis, machine learning techniques, data cleaning, data preprocessing, data transformation, data visualization tools (Power BI, Tableau), Excel

Preferred skills

Cloud platforms (AWS, Azure, GCP), big data tools (Hadoop, Spark), business intelligence, data warehousing, AI/ML model deployment

Technologies

SQL, Python, R, Power BI, Tableau, AWS, Azure, GCP, Hadoop, Spark, Excel

Responsibilities

Collect, clean, and analyze large datasets; Develop predictive models and data-driven solutions; Create dashboards and reports; Perform statistical analysis and identify trends; Collaborate with cross-functional teams; Optimize data workflows and ensure data quality; Present findings to stakeholders

Rewrite
## About the role We are looking for a Data Scientist / Data Analyst with 3–4 years of experience who can transform data into actionable insights. The ideal candidate should have strong analytical skills, experience with data modeling, and the ability to communicate findings effectively to stakeholders. ## Responsibilities - Collect, clean, and analyze large datasets to extract meaningful insights - Develop predictive models and data-driven solutions - Create dashboards and reports to support business decision-making - Perform statistical analysis and identify trends and patterns - Collaborate with cross-functional teams to understand data requirements - Optimize data workflows and ensure data quality and integrity - Present findings in a clear and actionable manner to stakeholders ## Requirements - 3–4 years of experience in data science, data analysis, or a related role - Strong proficiency in SQL, Python, or R - Experience with data visualization tools like Power BI, Tableau, or similar - Knowledge of statistical analysis and machine learning techniques - Experience with data cleaning, preprocessing, and transformation - Familiarity with Excel and data reporting tools - Strong problem-solving and analytical thinking skills ## Nice to have - Experience with cloud platforms (AWS, Azure, or GCP) - Knowledge of big data tools such as Hadoop or Spark - Understanding of business intelligence and data warehousing concepts - Exposure to AI/ML model deployment ## What we offer - Competitive salary and growth opportunities - Exposure to real-world data challenges and projects - Collaborative and innovative work environment - Continuous learning and career development support ## About the company [No content provided in the source text]
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