Senior Data Scientist

Experience required:

Key Responsibilities:

1.Develop, optimize, and deploy time series models such as ARIMA/SARIMA and Prophet for forecasting and trend analysis.

2.Apply advanced machine learning algorithms including Linear Regression, Logistic Regression, Decision Trees, Random Forest, and XGBoost to solve diverse business challenges.

3.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.

4. Leverage strong statistical knowledge to analyze data, perform hypothesis testing, and derive actionable insights.

5. Collaborate with cross-functional teams to understand business objectives and deliver data-driven solutions.

6. Communicate complex technical results effectively to stakeholders through reports, dashboards, and presentations.

Qualifications and Skills:

1. Proven experience with time series modeling, including hands-on expertise in ARIMA/SARIMA and Prophet.

2.Strong knowledge of machine learning algorithms and experience implementing them in real-world scenarios.

3. Solid understanding of deep learning techniques, with experience in developing and deploying ANNs, CNNs, and RNNs.

4. Excellent grasp of statistics, including probability, distributions, and hypothesis testing.

5. Proficiency in Python

6. Hands-on experience with data visualization tools like Tableau, Power BI is a plus.

7. Strong problem-solving skills, analytical thinking, and attention to detail.

8. Excellent communication skills and the ability to work collaboratively in a team environment.

Preferred Qualifications:

1. 5+ years of relevant experience in Data Science

2. Experience with cloud platforms like AWS, Azure, or Google Cloud.

3. Familiarity with big data technologies such as Spark.