Data Scientist

1 week ago

Gurgaon, Haryana, India Continuity 1 Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Role & responsibilities

Analyze large and complex data sets to identify patterns, trends, and actionable insights using AI techniques.

Develop and implement AI models, including machine learning, deep learning, and natural language processing algorithms, to address client-specific challenges.

Design, develop, test, and deploy scalable AI solutions in production environments (a plus)

Collaborate with cross-functional teams, including consultants and industry experts, to understand client needs and deliver AI-driven solute

Communicate findings and insights effectively to both technical and non-technical stakeholders.

Must Have Requirements

- Statistical Knowledge

- Good communication skills

- Coding Skills in Python, SQL

- Knowledge on GenAi

- PowerBI Tableu

- Good Communication

- Hands on testing, coding, API

Overall Skills Needed

- Statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.)

- Experience in working with large datasets and relational databases (SQL)

- Knowledge of additional programming languages (Python, C++, Java)

- Distinctive communications skills

- Ability to communicate analytical and technical content in an easy to understand way

- Intellectual curiosity

- Excellent problem-solving and quantitative skills

- Ability to disaggregate issues, identify root causes and recommend solutions

- Proven leadership skills

- Ability to inspire others, build strong relationships, and create a true followership

- Result-driven achievers

- Strong people skills

- Team-orientation

- Professional attitude

Key Responsibilities & Outcomes

- Analyze large and complex data sets to identify patterns, trends, and actionable insights using AI techniques

- Develop and implement AI models, including machine learning, deep learning, and natural language processing algorithms, to address client-specific challenges

- Design, develop, test, and deploy scalable AI solutions in production environments (a plus)

- Collaborate with cross-functional teams, including consultants and industry experts, to understand client needs and deliver AI-driven solutions

- Communicate findings and insights effectively to both technical and non-technical stakeholders

Scale of Operations

8-10 years (try at least 5 years relevant)

AI/ML Expertise: KNN, SVM, Random Forest, XGBoost, Recommender Systems, LSTMs, Neural Networks, NLP.

6 months -1 year on Generative AI & Agentic AI: LangChain, OpenAI models, prompt engineering, RAG pipelines.

More on traditional machine learning with cloud aws exposure

Understanding of statistics, Ex Data distributions, Data drift, and hypothesis testing

Experience in production level ML solutions. Ex – GIT, Modular coding and ML Pipelines

Good communication skills

Hands on Python Coding

Preferred candidate profile

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