Senior Data Scientist

Job Title: Senior Data Scientist

Experience:

Location:

Job Type:

Job Summary:

Senior Data Scientist

Key Responsibilities:

1.⁠ ⁠Develop and deploy machine learning models using Python, PyTorch, scikit-learn, and other relevant libraries.

2.⁠ ⁠Extract insights from complex data and communicate findings to stakeholders.

3.⁠ ⁠Design and implement data-driven solutions, including real-time and batch processing systems.

4.⁠ ⁠Collaborate with engineers to build scalable and efficient data pipelines.

5.⁠ ⁠Develop and maintain RESTful APIs to serve machine learning models.

6.⁠ ⁠Work with databases, including data modeling, schema design, and query optimization.

7.⁠ ⁠Work with GitHub, Docker, and AWS to ensure smooth deployment and management of models.

8.⁠ ⁠Stay up-to-date with industry trends and advancements in AI/ML.

Required Skills:

1.⁠ ⁠5+ years of experience in data science and machine learning.

2.⁠ ⁠Strong proficiency in Python and relevant libraries, including PyTorch, scikit-learn, and pandas.

3.⁠ ⁠Experience with machine learning model development, deployment, and maintenance.

4.⁠ ⁠Strong understanding of data structures, algorithms, and software design patterns.

5.⁠ ⁠Experience with databases, including relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).

6.⁠ ⁠Experience with GitHub, Docker, and AWS.

7.⁠ ⁠Familiarity with RESTful API design and development.

8.⁠ ⁠Experience with real-time and batch processing systems.

9.⁠ ⁠Excellent communication and collaboration skills.

Nice to Have:

1.⁠ ⁠Experience with time series forecasting and analysis.

2.⁠ ⁠Knowledge of deep learning frameworks like TensorFlow or Keras.

3.⁠ ⁠Familiarity with natural language processing (NLP).

4.⁠ ⁠Experience with data visualisation tools like Matplotlib, Seaborn, or Plotly.

5.⁠ ⁠Knowledge of Agile development methodologies and Scrum framework.

6.⁠ ⁠Experience with cloud platforms like AWS SageMaker, Google Cloud AI Platform, or Azure Machine Learning.

What We Offer:

1.⁠ ⁠Competitive salary and benefits package.

2.⁠ ⁠Opportunity to work on complex and challenging projects.

3.⁠ ⁠Collaborative and dynamic work environment.

4.⁠ ⁠Professional growth and development opportunities.