Job Title:
Job Description
We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled.
The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.
In our Information Technology and Global Security team, you will deliver the latest technology infrastructure, transformative software solutions and industry-leading global security for our staff and clients. You will work with the best in the world to design, implement and strategize IT, security, application development, innovation, and solutions in today’s hyperconnected world. You will be part of the technology team that is core to our vision of develop, build and run the future of Integrated Services.
Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as "World's Best Workplaces," “Best Companies for Career Growth,” and “Best Company Culture,” year after year.
We embrace our game-changers with open arms, people from diverse backgrounds, who are curious and willing to learn. Your natural talent to help others and go beyond WOW for our customers will fit right in with what we do and who we are.
Join us and be part of this journey towards greater opportunities and brighter futures.
The role:
As a Data Scientist, you will play a critical role in architecting, developing, and leading the delivery for a key client for Concentrix. You’ll oversee a team of Data scientists while collaborating with stakeholders to design systems that balance technical innovation with business needs. You will report to our Regional Leader.
Responsibilities
· Research and develop a statistical model for data analysis to predict model performance in production environments
· Transform Business Requirements to working real-life applications through collaboration with product management and engineering teams
· Understand the Data in the Customer Experience domain and perform Feature Engineering and develop statistical models
· Create prototypes of models and present them to stakeholders
· Participate in the Software Development life-cycle to productize the Machine Learning use cases
· Keeping abreast of developments in the industry. Helping in Training and Coaching others in the organization
· Understand machine learning pipeline principles and make recommendations to support continual improvement.
Essential skills:
· Strong in Data Analytics and Data Science (Mathematics and Statistical Analysis)
- Experience with Natural Language Processing (NLP), Generative AI Tools, Deep Learning, Artificial Intelligence (AI),Machine Learning, Large Language Models (LLM)
· Programming and software skills: Python for Data Science, Data stream processing (Kafka and Spark Streaming etc), Big Data processing (Spark and databases – SQL and NoSQL)
· Data Engineering skills: Work with large amounts of real Data, Exploratory Data Analysis, ETL, Data Visualization
· Knowledge of R, SQL and Python
· Experience using business intelligence tools (ex: Tableau) and frameworks like Scikit, Apache Spark, Hadoop
Software Engineering:
· Understanding of Software Development life-cycle process
· Agile, Scrum, and Kanban Methodologies
· Ability to have a view on how data science Use Cases can be incorporated into Software Products
Desirable skills:
Familiarity with Linux OS and Tools
Knowledge of Customer Experience Domain
WHAT WE OFFER:
• Competitive salary + COLA allowance paid monthly + Performance bonus
• Paid professional training plus an introductory period.
• Health Insurance + few family members
• Life and Income Insurance
Location:
Language Requirements:
Time Type:
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