Data Scientist

About the Company

We are seeking a highly analytical and results-driven Data Scientist to join our growing team. The ideal candidate will be responsible for collecting, analyzing, and interpreting large datasets to help drive strategic business decisions. You will work closely with cross-functional teams to build predictive models, develop data-driven solutions, and deliver actionable insights that improve operational efficiency and business performance.

About the Role

The ideal candidate will be responsible for collecting, analyzing, and interpreting large datasets to help drive strategic business decisions.

Responsibilities

• Analyze structured and unstructured data to identify trends, patterns, and business insights
• Build, validate, and deploy machine learning and statistical models
• Develop predictive and forecasting models to support business objectives
• Design and maintain dashboards, reports, and KPIs using BI tools
• Collaborate with business stakeholders, engineering teams, and leadership to solve complex business problems
• Perform data cleaning, transformation, and feature engineering
• Write optimized SQL queries for data extraction and analysis

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field
• 3\+ years of experience in data science, analytics, or machine learning

Required Skills

• Strong proficiency in Python, R, SQL, and data analysis libraries such as Pandas, NumPy, and Scikit-learn
• Experience with machine learning algorithms, statistical analysis, and predictive modeling
• Hands-on experience with visualization tools such as Power BI, Tableau, or Looker
• Knowledge of cloud platforms such as AWS, Azure, or GCP
• Experience working with large datasets and ETL pipelines
• Strong analytical, problem-solving, and communication skills

Preferred Skills

• Experience with Deep Learning, NLP, or Generative AI
• Familiarity with Spark, Hadoop, or Databricks
• Knowledge of MLOps and model deployment processes
• Experience in Agile/Scrum environments