Data Scientist (AI/ML)
Mumbai, Maharashtra, India
Applications have closed
Weekday
At Weekday, we help companies hire engineers who are vouched by other software engineers. We are enabling engineers to earn passive income by leveraging & monetizing the unused information in their head about the best people they have worked...This role is for one of the Weekday's clients
Salary range: Rs 1500000 - Rs 4500000 (ie INR 15-45 LPA)
Min Experience: 5 years
Location: Mumbai
JobType: full-time
We are seeking an experienced Data Scientist to extract actionable insights, develop machine learning models, and drive data-driven decision-making. The ideal candidate possesses a strong foundation in statistics, programming, and data engineering, along with expertise in deploying AI/ML solutions.
Requirements
Key Responsibilities
- Collect, process, and analyze large datasets from multiple sources to uncover meaningful insights.
- Develop predictive models, machine learning algorithms, and statistical analyses to solve business challenges.
- Collaborate with engineering, product, and marketing teams to integrate data-driven solutions into business operations.
- Optimize data models and pipelines for scalability, performance, and efficient processing.
- Visualize insights and present findings to technical and non-technical stakeholders in a clear, impactful manner.
- Stay updated with the latest advancements in AI/ML and data science technologies to enhance business strategies.
Required Skills & Qualifications
- 5+ years of experience in data science, machine learning, or analytics.
- Proficiency in Python/R and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch.
- Strong SQL skills for querying and managing large datasets.
- Hands-on experience with cloud platforms (AWS, Azure, GCP) and data engineering tools (Spark, Hadoop, Airflow).
- Proficiency in data visualization tools like Tableau, Power BI, Matplotlib, and Seaborn.
- Strong analytical, problem-solving, and communication skills to translate complex concepts into actionable insights.
Preferred Qualifications
- Experience with Deep Learning and Natural Language Processing (NLP).
- Familiarity with MLOps and deploying ML models into production.
- Exposure to Big Data technologies and handling large-scale datasets.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Azure Big Data Data visualization Deep Learning Engineering GCP Hadoop Machine Learning Matplotlib ML models MLOps NLP NumPy Pandas Pipelines Power BI Python PyTorch R Scikit-learn Seaborn Spark SQL Statistics Tableau TensorFlow
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