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Jaggaer - Data Scientist - NLP/Machine Learning (3-5 yrs)

3-5 years

Jaggaer - Data Scientist - NLP/Machine Learning (3-5 yrs)

DocSkiff

posted 2d ago

Job Description

About the Company :


About JAGGAER :


JAGGAER is leading the Autonomous Commerce revolution, a self-governing B2B commerce experience between buyers, suppliers, things (IoT), and partners. Leveraging AI and machine learning, our intelligent procurement solutions provide enterprise buyers and suppliers with smart-match recommendations that align buyer needs with supplier capabilities. Our solutions autonomously execute many repetitive, behind-the-scenes tasks to facilitate enterprise commerce. We have over 1,250 employees strong, all focused on customer success.

Summary of Responsibilities :

- Building innovative artificial intelligence and machine learning solutions such as intelligent recommendation engines, natural language processing models, text processing/classifiers, application of network and graph analysis algorithms and tools and deep neural network learning.

- Identify ways to design and implement Internet-scale Data Mining and intelligent solutions in close collaboration with other Data Scientists and Data Engineers.

- Develop, test and validate production ready machine learning models.

- Write High-performance queries and extract / process large-scale data.

- Follow a well-structured and Agile development process with short release cycles, daily live deployments.

- Implement new features, expand existing features, work on customer specific enhancements and constantly improve the platform.

Job Description & Requirements :

- You are experienced in programming in Python and have already worked in a professional software development environment for a minimum of 3 years.

- You are familiar with Git.

- Expertise in one or more of the following topics : Natural Language Processing and Understanding, Classification, Pattern Recognition and Referral Systems.

- Working experience with Machine learning frameworks such as TensorFlow, PyTorch, Scikit learn, and Machine learning platforms on AWS, Azure or GCP.

- Experience with Relational/No-SQL database systems, Git, and Jira is a plus.

- Experience in working in Big Data-driven environments is a plus.

- Clean and correct code is highly important to you and you keep your debug-outputs tidy and write comments where necessary.

- Good knowledge of algorithms, data structures, design patterns, and efficient programming.

- A software-engineering-related university degree is a plus.

- Excellent command of English (written and spoken).

- Eager to learn, willing to share knowledge, and able to adapt to new processes and workflows.

What we offer :


- A positive, friendly, and international working environment. A trust-based flexible working environment.

Our values :


Our values are at the core of who we are at JAGGAER. You will see these values entrenched in how we support our customers, work with team members, build our products, and in the culture we've created.

- Be Collaborative : Foster a culture of mutual respect, working effectively and productively with others, and sharing responsibility for team success.


- Be Accountable : Take ownership, learn from challenges, be proactive, and rise above one's circumstances to achieve the result.

- Be Adaptable : Embrace change, encourage innovation, and remain effective when experiencing major change.

Kindly note that only applicants who meet the above criteria will be contacted.

JAGGAER is a proud equal opportunity/affirmative action employer supporting workforce diversity.

We do not discriminate based upon race, ethnicity, ancestry, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), marital status, caregiver status, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, genetic information, military, or veteran status, mental or physical disability, or other applicable legally protected characteristics.


Functional Areas: Other

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