Data Scientist
At a glance
Mid-level Data Science role at Fa Ewjt Saasfaprod1. Gurugram · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Build AI and statistical models to find insights in complex data and turn them into recommendations
- Test model performance, check results, and refine models to improve accuracy and reliability
- Explore and optimize algorithms and methods to address difficult problems
- Deploy models into production and coordinate with teams on data-driven solutions
- Maintain data integrity, security and regulatory compliance through governance policies
What you bring
- At least two years of analytics or data science work on AI and advanced analytics projects
- Practical experience with large language models, including fine-tuning open-source models for varied uses
- Strong knowledge of deep learning, NLP, text analytics, and methods such as transformers or neural networks
- Proficiency in Python and hands-on use of NumPy, SciPy or scikit-learn
- Experience with prompt design, vector databases, LangChain and data embeddings
Who this fits
This mid-level role suits someone who can experiment with AI models and communicate findings to varied stakeholders. The position is hybrid and based in Gurugram, India.
From the employer
As a Data Scientist, you will derive actionable insights from large, complex and unstructured data by developing AI/ML techniques. Development, optimization and evaluating as well as deploying them into production environments would be the key aspects of your role. You will have to collaborate seamlessly across teams to integrate data-driven solutions and maintain data governance compliance. Stay abreast of industry trends, contribute to thought leadership, and innovate solutions for intricate business problems.
- Develop and deploy AI and statistical algorithms to extract insights and drive actionable recommendations from complex datasets.
- Design rigorous testing frameworks to evaluate model performance, validate results, and iterate on models to improve accuracy and reliability.
- Perform R&D by exploring and optimizing algorithms, methodologies, and technologies to tackle complex problems and drive innovation.
- Stay updated with the latest advancements in data science methodologies, tools, and technologies, and contribute to the team's knowledge base through sharing insights, attending conferences, and conducting research.
- Establishing and maintaining data governance policies, ensuring data integrity, security, and compliance with regulations.
- 2+ Years of prior analytics and data science experience in driving projects involving AI and Advanced Analytics.
- Strong expertise in Deep Learning frameworks, NLP/Text Analytics, SVM, LSTM, Transformers, Neural network.
- In-depth understanding and hands on experience in working with Large Language Models along with exposure in fine tuning open source models for variety of use case.
- Strong exposure in prompt engineering, knowledge of vector database, langchain framework and data embeddings.
- Strong problem-solving skills and the ability to iterate and experiment to optimize AI model behavior.
- Proficiency in Python programming language for data analysis, machine learning, and web development.
- Hands-on experience with machine learning libraries such as NumPy, SciPy, and scikit-learn.
- Excellent problem-solving skills and attention to detail.
- Ability to communicate effectively with diverse clients/stakeholders.
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