QZ-239 Data Scientist - Data Sciences

QZ-239 Data Scientist - Data Sciences

27 May

27 May



Company Overview:

GEP is a diverse, creative team of people passionate about procurement. We invest ourselves entirely in our client’s success, creating strong collaborative relationships that deliver extraordinary value year after year. Our clients include market global leaders with far-flung international operations, Fortune 500 and Global 2000 enterprises, leading government and public institutions.

We deliver practical, effective services and software that enable procurement leaders to maximise their impact on business operations, strategy and financial performance. That’s just some of the things that we do in our quest to build a beautiful company, enjoy the journey and make a difference.

GEP is a place where individuality is prized, and talent respected. We’re focused on what is real and effective. GEP is where good ideas and great people are recognized, results matter, and ability and hard work drive achievements. We’re a learning organization, actively looking for people to help shape, grow and continually improve us.

Are you one of us?

GEP is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, disability status, or any other characteristics protected by law. We are committed to hiring and valuing a global diverse work team.

For more information please visit us on GEP.com or check us out on LinkedIn.com.

What you will do:

- Lead and own one or two Machine learning projects from

conceptualization to productization.

- Work with Data Architects to leverage existing data models and build

new ones as needed.

- Mentor internson specific tasks.

- Collaborate with product development teams productize machine

learning modelsand solutionson our platform

- Develop new and apply/extend existing, concepts, methodologies,

techniquesfor cross functional initiatives

What you should bring:

- B.Tech / M.Tech in Computer Science / Mathematics / Statistics/ Signal Processing or related fields from one of the premier Institutes (IITs/NITs/BITS is a plus)

- 3-5 years of demonstrable experience in building and deploying AI/ML solutions


- Ability to discover effective solutions to complex problems; Break down complex problems in to simplifying them and identifying dependencies.

- Strong skills in manipulating data-structures and application of machine learning algorithms.

- Experience of working on a project end-to-end: problem scoping, data gathering, EDA, modeling, insights, and visualizations

- Ability to break the problem into small problems and think of relevant techniques which can be explored & used to cater to those

- Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithms

- Ability to communicate effectively with Sr. management; defend and present analyses

- Personal drive and intellectual curiosity to do what hasn’t been done before, coupled with an appreciation for overcoming challenges. General ability to experiment at scale and fail fast.

Technical Expertise

- High level proficiency in at least one of Python/R/Scala/Apache Spark

- Proven experience of working on unstructured and textual data. We regularly use NLP techniques (POS tagging, NER, Semantic role labelling etc.), Decision tree ensembles (Random Forest, XGBoost, Light GBM), SVMs, Clustering algorithms, Time series modelling for sequence prediction, event classification, anomaly detection and deep learning frameworks among others

- Knowledge of RDBMS concepts.

- Expertise with SQL and NoSQL databases

- Ability to work in a team in an agile setting, familiarity with JIRA and clear understanding of how Git works

- Technology savvy and adaptable, so you can develop new capabilities that match the evolving nature of AI environment and business needs.

- Proven experience writing production-grade software

- Extensive experience in model development and life-cyclemanagement in one or more industries.

The original job offer can be found in Kit Job:

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