Data Scientist

Minimum 5+ years of Experience required

Excellent analytical and problem-solving skills

Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.

Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications

Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks

Should be able to host the models and make them api convertible.

Good communication and presentation skills in order to explain your work to people who don't understand the mechanics behind data analysis.

KEY SKILLS:

1. Predict future events and automate intelligent decision-making.
2. Predictions / Data enhancements/ Extra to data.
3. Building Predictive Models, Creating Algorithms, Developing Recommendation Engines, Customer Segmentation, Generative AI
4. Python for data science coding (pandas, sk-learn etc) , Machine Learning (build/ train model), Basic and Advanced Statistics (mean, vairance, Standard Deviation), Predictive/ Generative AI hands on, Prompt engineering, LLMs, Fine tuning.

Responsibilities-

Working on Cutting Edge AI solutions in partnership with best of business in the industry.

Propose innovate solutions and adopt quickly to dynamic learning environment.

Build AI algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organization

Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

Bring about Explainable and Responsible AI.

Conduct research from which you'll develop prototypes and proof of concepts

Look for opportunities to use insights/datasets/code/models across other functions in the organization

Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.