Data Scientist

6 days ago

Mumbai, India ContractPodAi Full time

**OUR STORY**

For over a decade ContractPodAi has been recognized as a leader in Contract management, having re-invented how CLM is priced, delivered and supported. We believe in helping in-house legal teams prepare for every challenge that their organizations encounter by pushing the boundaries of what’s possible in legal tech. Our platform is built on Microsoft technologies and is hosted on the best-in-class cloud infrastructure offered by Microsoft Azure. This ensures our customers can benefit from the security, speed, reliability, and economic benefits of cloud computing. Our customers comprise top global brands across all industries and in every continent.

In 2021, ContractPodAi received a USD $115 million Series C investment, headed by SoftBank Vision Fund 2. This saw ContractPodAi’s valuation increase five times from its previous Series B round. We are growing at a rapid pace and always looking for new colleagues to join our offices in London, New York, Mumbai, Chicago, Australia, Toronto, and Glasgow. ContractPodAi is the perfect place for self-driven, dynamic individuals who want to learn and help businesses grow. If you take an entrepreneurial approach to problem-solving, work well in a fast-paced, high-growth environment, then this could be the right role for you

**OPPORTUNITY**:
As a Data Scientist, you will be an integral member of the technology and artificial intelligence team. You will need to utilize your analytical, statistical, and programming skills to collect, analyze, and interpret large data sets. This information is then used to develop data-driven solutions to difficult business challenges. You will work closely with the Technology team to integrate the solution into ContactPodAi’s contract lifecycle management (CLM) system.

**ROLES & RESPONSIBILITIES**:

- As a core member of the NLP team, you will research, prototype, develop, deploy and scale innovative ML/DL solutions in collaboration with legal Experts and Product Management teams.
- You will develop predictive models on large-scale datasets to address various business problems leveraging advanced statistical modelling, machine learning, or data mining techniques.
- Design and implement infrastructure for orchestrating end to end machine learning lifecycles
- Set up processes to monitor and continually improve efficiency and performance of models
- Software development including algorithm implementation, optimization, performance profiling, integration to production systems, testing and documentation.
- Write high-quality production code as you build and maintain robust, scalable machine learning systems.
- Program primarily in Python using efficient algorithms and software design patterns
- Scale and improve performance of Natural Language systems in production

**REQUIRED COMPETENCIES**:

- At least 4+ Years of experience as a data scientist.
- Strong problem solving skills with an emphasis on product development.
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Experience with text extraction from Images/Documents/PDFs
- Experience with deep learning architectures such as LSTMs, Transformers,
- Experience with cutting-edge deep learning-based NLP models such as BERT
- Experience with deep learning NLP toolkits such as huggingface, spacy, etc.
- Experience with deep learning frameworks like TensorFlow, PyTorch
- Experience with Agile, Scrum

**BENEFITS & PERKS**:

- Competitive salary
- Opportunity to work in a fast-moving, high growth SaaS company
- Paid Time off
- Generous Employee Referral program

At ContractPodAi we believe in creating a diverse and inclusive workplace where everyone feels heard and valued. We are proud to be an Equal Opportunity Employer. We do not discriminate in employment on the basis of race, color, religion, sex, national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

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