Senior Data Scientist - Deep/Machine Learning (10-12 yrs)

Job Description : Senior Data Scientist

Experience : 10+ Years

We are seeking a highly experienced Senior Data Scientist with over 10 years of experience to join our dynamic team. The ideal candidate will have a proven track record of leveraging data to drive business decisions, with deep expertise in SQL, Python, TensorFlow, and advanced machine learning techniques.

The Senior Data Scientist will play a critical role in building and deploying scalable data models, providing actionable insights, and working closely with cross-functional teams to achieve business objectives.

Key Responsibilities :

1. Data Strategy and Leadership :

- As a Senior Data Scientist, you will be responsible for leading data-driven initiatives and formulating strategies to address complex business problems.

- You will work with executive leadership to align data science efforts with business goals, providing strategic insights that inform decision-making at the highest level.

2. Advanced Data Analysis :

- You will utilize your expertise in data analysis to explore large datasets, extract actionable insights, and identify trends and patterns.

- You'll apply statistical techniques to clean, preprocess, and analyze both structured and unstructured data, ensuring that it is actionable and ready for model building.

3. Model Development and Deployment :

- The core responsibility will be to design, develop, and deploy machine learning models using tools like Python and TensorFlow.

- You will leverage your in-depth understanding of algorithms (such as supervised, unsupervised learning, and deep learning) to create scalable models that can be implemented in production environments, driving efficiency and accuracy in decision-making.

4. Collaboration with Cross-Functional Teams :

- You will collaborate with various departments, including product, engineering, and business teams, to understand data needs and translate them into actionable solutions.

- Your ability to communicate complex technical concepts to non-technical stakeholders will be critical in ensuring the alignment of data science projects with overall business goals.

5. Automation and Optimization :

- You will take ownership of automating data pipelines, improving the efficiency of data workflows, and optimizing the performance of existing models.

- By continuously monitoring model performance, you will ensure that models remain relevant and accurate, making adjustments as necessary to improve results.

6. Mentorship and Team Leadership :

- As a senior member of the team, you will mentor and guide junior and mid-level data scientists, fostering a collaborative and growth-oriented team environment. You will lead by example, sharing best practices and helping to build the technical expertise of the team.

7. - Data Infrastructure and SQL Expertise :

- You will use your strong SQL skills to query large datasets and optimize database structures for efficient data retrieval and processing.

- Understanding database management systems and ensuring the availability and integrity of data will be critical to your success.

Requirements :

1. 10+ Years of Experience in Data Science :

- The ideal candidate will have over 10 years of experience in the data science field, with a proven track record of solving complex business problems using data-driven solutions.

- This includes hands-on experience with machine learning, data manipulation, and statistical modeling.

2. Proficiency in SQL :

- Strong proficiency in SQL is required for querying and managing large datasets. You should have experience working with relational databases and optimizing SQL queries for performance.

3. Expertise in Python :

- The candidate should be highly skilled in Python and its data science libraries (such as Pandas, NumPy, Scikit-learn, and Matplotlib).

- Python will be your primary tool for data analysis, model development, and data manipulation.

4. Experience with TensorFlow and Machine Learning Frameworks :

- The ideal candidate will have extensive experience with TensorFlow, Keras, or similar deep learning frameworks.

- You should be able to design, train, and deploy complex machine learning models, including deep neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs).

5. Advanced Analytical and Statistical Skills :

- The role requires strong analytical skills with an understanding of advanced statistical methods, hypothesis testing, and probability theory.

- You should be comfortable with large-scale data analysis and statistical modeling to inform decision-making.

6. Business Acumen and Communication Skills :

- A Senior Data Scientist must be able to translate complex technical solutions into actionable insights for business stakeholders.

- Excellent communication skills are essential to effectively convey findings and recommendations.

7. Educational Background :

- A Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field is preferred.

- However, practical experience and demonstrated ability to drive business outcomes with data may also be considered in lieu of formal education.

Conclusion :

This Senior Data Scientist role is ideal for a highly experienced professional looking to take ownership of complex data science projects. You will be responsible for developing and deploying advanced machine learning models, providing strategic insights, and leading a team of data scientists.

The combination of technical expertise in SQL, Python, TensorFlow, and machine learning, along with strong leadership and communication skills, will make you an integral part of our organization's data-driven culture.