Data Scientist

We are looking for a highly analytical and business-oriented Data Scientist to transform complex data into actionable insights and intelligent solutions. This role is ideal for someone who enjoys solving real-world business challenges using statistics, machine learning, experimentation, and data-driven thinking.
You will work closely with product, engineering, business, and leadership teams to develop predictive models, generate insights, and support strategic decision-making across the organization.
Key Responsibilities
Analyze large and complex datasets to identify trends, patterns, and business opportunities
Develop predictive models, machine learning solutions, and analytical frameworks
Perform data cleaning, preprocessing, feature engineering, and exploratory data analysis
Design and execute experiments, A/B tests, and statistical analyses
Collaborate with business and product teams to understand objectives and translate them into analytical solutions
Build dashboards, reports, and visualizations to communicate insights effectively
Deploy and monitor machine learning models in production environments
Work closely with data engineering teams to improve data quality and accessibility
Present findings and recommendations to technical and non-technical stakeholders
Stay updated on emerging AI, analytics, and data science methodologies
Required Skills & Experience
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field
3–7 years of experience in data science, machine learning, or advanced analytics roles
Strong proficiency in Python, R, SQL, and data analysis libraries
Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or XGBoost
Strong understanding of statistics, predictive modeling, and data visualization techniques
Experience working with structured and unstructured datasets
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
Experience with BI and visualization tools such as Power BI, Tableau, or Looker
Strong analytical, problem-solving, and communication skills
Ability to translate data insights into business recommendations
Good to Have
Experience working in SaaS, fintech, AI, healthcare, or product-driven companies
Exposure to NLP, recommendation systems, computer vision, or generative AI
Familiarity with MLOps workflows and model deployment practices
Experience with big data technologies such as Spark or Hadoop
Understanding of experimentation frameworks and customer analytics

Work arrangement
Yes