Spigot Software - Data Scientist - Python

Description :

Responsibilities :

- To improve current or new processes, design and develop new methodologies, quantitative models, analysis, and commentary (as applicable).

- Maintain current independent analysis and product performance standards.

- Work internally with different departments to develop new concepts and expand the scope of existing products.

- Data handling, data processing, and programming.

- Support the delivery of new or enhanced capabilities by defining requirements and/or leading projects.

- Translate business needs into solution requirements. Write functional and non-functional specifications.

- Propose and implement improvements to products and processes.

- Develop automated solutions for sourcing/loading Transcripts data into the database.

- Analyze transcriptions with the help of machine learning.

- Build extraction solutions based on different document formats.

- Develop, improve, and run quantitative models.

- Generate solutions through machine learning for core processes.

- Work with business, content, and product groups for large-scale analytics problems.

- Build POCs, visualizations, and pipeline tools for product design and development.

- Work with development groups for the deployment of analytics solutions.

- Interact with other internal teams as needed, with supervision.

- Maintain process documentation.

- Testing and validation of tools and processes.

Requirements :

- Extensive experience programming in Python to a production standard.

- Experience in AI / ML Technology implementation.

- Experience with formal AI/ML system evaluation, including curating evaluation datasets, developing performance measures, and

analysing results.

- Experience in designing, developing, and deploying advanced statistical models based on machine learning and deep learning algorithms.

- Proven understanding of statistical concepts.

- Proficient in using tools and libraries such as Scikit-learn, NumPy, and Pandas.

- Proficient with any of the deep learning frameworks like PyTorch, TensorFlow, etc.

- Apply cloud technologies such as Azure and AWS for data processing and storage.

- Strong understanding of Robotic Process Automation.

- Develop skills in web scraping, working on audio, and transcripts to deliver comprehensive data solutions.

- Strong Problem-solving proficiency and algorithmic thinking.

- Proven understanding of relational databases and SQL skills.

- Good understanding of REST API architecture and containers (Kubernetes or Docker).

- Ability to handle large quantities of data.

- Narrate stories (to technical and mostly non-technical audiences) about our content and processes through data analysis and visualization.

- Strong written, communication, and presentation skills. Able to respond and present work to peers, senior management, and

other customers.

- Qualification : Bachelor's or equivalent experience in Engineering or Higher education in Statistics, Mathematics, or related

quantitative subject area with Data science certification.

- Desired Skills: 3+ years of Data Science project experience is helpful.