Lead the development of analytics systems and predictive models, manage a team, preprocess data, analyze trends, and present findings.
This is a remote position.
Responsibilities:
- Design and develop strong analytics system and predictive models
- Managing a team of data scientists, machine learning engineers, and big data specialists
- Identify valuable data sources and automate data collection processes
- Undertake pre-processing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Combine models through ensemble modeling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
Requirements
Requirements:
- Proven experience as a seasoned Data Scientist
- Good Experience in data mining processes
- Understanding of machine-learning and Knowledge of operations research is a value addition
- Strong understanding and experience in R, SQL, and Python; Knowledge base with Scala, Java, or C++ is an asset
- Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
- Hands on Experience in Time Series Forecasting
- Strong math skills (e.g. statistics, algebra)
- Problem-solving aptitude
- Excellent communication and presentation skills
- Experience in Natural Language Processing (NLP)
- Strong competitive coding skills
- BSc/BA/MSc/MA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
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Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
