About Incedo
Do amazing things. We, at Incedo, a global digital transformation expert, empower companies to realize sustainable business impact from their investments in digital transformation.
Join our team to work on challenging problems in industry-leading client organizations. Build on the foundation of our integrated services and platforms that are powered by strong engineering, data science and analytics, design capabilities and our deep domain expertise. With over 2,500 people in six offices in the US and India, and a large, diverse portfolio of Fortune 500 clients worldwide, we work across telecom, financial services, product engineering and life sciences & healthcare industries.
Our flexible career paths will allow you to grow depending on your skills and interests. Incedo University, our proprietary learning platform, will provide you with ample learning opportunities from structured onboarding programs to engaging programs throughout your career at Incedo. We work hard and play hard and have a fun and friendly work culture
About the Job
Data Scientist at Incedo develop the next-generation data-science technologies that impact Fortune 20 customers. Our products need to manage information on a massive scale, so we're always looking for engineers who bring fresh ideas from all areas— distributed computing, large-scale system design, data storage, and UI design. Our engineers are versatile, are leaders and are enthusiastic about taking on new problems across the fullstack. Does this sound like you?
As an Associate Data Scientist, you will work on a specific project critical to Incedo’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
Responsibilities
- Perform Exploratory Data Analysis, test hypotheses, and generate insights as part of the analytical solution being built.
- Participate in solution approach and methodology design for the project/workstream
- Be integral part of the team performing feature engineering, model building, model evaluation, and deployment
- Master’s Degree in Applied Mathematics, Computer Science, Statistics, Business Analytics, Data Science, or related areas.
- Good working knowledge of common data science toolkits, such as Python/R and SQL based query languages
- Has worked on multiple projects involving Machine Learning/Data Science
- A good grasp of at least 2-3 Machine Learning Concepts such as Linear Regressions, Logistic Regression, Decision Tree, SVM, Random Forests, KNN, K-Means, Recommendation systems etc. along with the math behind some of the techniques
- Ability to articulate problem statements to formulate data science or analytics approaches
- Ability to communicate thought process clearly
- 1-3 years of prior work experience in Data and Analytics domain like IT Services, Consulting, Corporate etc.