Senior Data Scientist

• Develop, optimize, and deploy time series models such as ARIMA/SARIMA and Prophet for forecasting and trend analysis.
• Apply advanced machine learning algorithms including Linear Regression, Logistic Regression, Decision Trees, Random Forest, and XGBoost to solve diverse business challenges.
• Design, train, and deploy deep learning models like Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs) for advanced predictive analytics.
• Leverage strong statistical knowledge to analyze data, perform hypothesis testing, and derive actionable insights.
• Collaborate with cross-functional teams to understand business objectives and deliver data-driven solutions.
• Communicate complex technical results effectively to stakeholders through reports, dashboards, and presentations.

Qualifications And Skills

• Proven experience with time series modeling, including hands-on expertise in ARIMA/SARIMA and Prophet.
• Strong knowledge of machine learning algorithms and experience implementing them in real-world scenarios.
• Solid understanding of deep learning techniques, with experience in developing and deploying ANNs, CNNs, and RNNs.
• Excellent grasp of statistics, including probability, distributions, and hypothesis testing.
• Proficiency in Python
• Hands-on experience with data visualization tools like Tableau, Power BI is a plus.
• Strong problem-solving skills, analytical thinking, and attention to detail.
• Excellent communication skills and the ability to work collaboratively in a team environment.

Preferred Qualifications

• 5+ years of relevant experience in Data Science
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Familiarity with big data technologies such as Spark.