Principal Data Scientist

Icertis

Pune, IN / Maharashtra, IN
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 01/04/2021
  • Website: icertis.com
  • Company Address: 14711 NE 29th Place Suite 100, Bellevue, WA, 98007

About Icertis

Icertis is the leading provider of enterprise contract management software in the Microsoft Cloud. The company’s flagship product, Icertis Contract Management (ICM), can manage sell-side, buy-side and corporate enterprise contracts across the globe by leveraging the power of the cloud.

Job Description

Who we are:  Icertis is the only contract intelligence platform companies trust to keep them out in front, now and in the future. Our unwavering commitment to contract intelligence is grounded in our FORTE values—Fairness, Openness, Respect, Teamwork and Execution—which guide all our interactions with employees, customers, partners and stakeholders. Because in our mission to be the contract intelligence platform of the world, we believe how we get there is as important as the destination
 
About the role :
 
The Principal Data Scientist is a detail oriented forward thinking individual who will utilize data mining,
data analysis, machine learning and natural language processing to bring innovation and differentiated
capabilities to the Icertis Contract Intelligence. You will be at ease with contemporary machine learning,
natural language processing frameworks and quantitative approaches and will be able to critically
evaluate and design, build, and support pipelines that can analyze contract document collections at
scale. When no suitable approaches are available, is able to craft new and innovative machine learning
and language processing solutions. Knowledge of enterprise level software architecture and
components is a big plus though is not required. You will have strong verbal and written communication
skills, be effective in interacting with technical and non-technical professionals, and be comfortable with
team building and working in a team.
 
Responsibilities:
 
• Partners with business stakeholders to translate business objectives into clearly defined analytical
projects.
• Identify opportunities for text analytics and NLP to enhance the core product platform, select the
best machine learning techniques to the specific business problem and then build the models that
solve the problem.
• Own the end-end process, from recognizing the problem to implementing the solution.
• Define the variables and their inter-relationships and extract the data from our data repositories,
leveraging infrastructure including Cloud computing solutions and relational database
environments.
• Build predictive models that are accurate and robust and that help our customers to utilize the
core platform to the maximum extent.
Skills and Qualifications:
 
• 12 to 15 yrs' of experience.
• An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in
programming and significant experience with text analytics/NLP. He shall have a strong
background in machine learning (unsupervised and supervised techniques). In particular, excellent
understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM,
Decision Forests, logistic regression, MLPs, RNNs, etc.
• Experience with text mining, parsing, and classification using state-of-the-art techniques.
• Experience with information retrieval, Natural Language Processing, Natural Language
Understanding and Neural Language Modeling.
• Ability to evaluate quality of ML models and to define the right performance metrics for models in
accordance with the requirements of the core platform.
• Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK,
Gensim, etc.
• Excellent verbal and written communication skills, particularly possessing the ability to share
technical results and recommendations to both technical and non-technical audiences.
• Ability to perform high-level work both independently and collaboratively as a project member or
leader on multiple projects.

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.