Data Scientist R&D

Acesoft Labs; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Acesoft Labs in Bengaluru invites a Data Scientist to join the Applied Research team. You will conduct research in ML-based solutions that enhance our products and customer outcomes, bringing deep analytical skills and experience with AI, ML, and data science to real-world problems.

You will independently engage with product teams and external customers, design rigorous experiments, and publish findings while contributing to AI product development and strategic research areas.

Qualifications

• Experience in research-level innovation in Data Science and ML, preferably with an advanced degree.
• 6+ years of experience in forecasting, optimization (inventory/supply chain/network/transportation), procurement, prescriptive maintenance, fine-tuning language models, domain agents, or computer vision.
• Strong understanding of Data Science, including ML, statistics, probability, and modeling.
• Significant experience with Data Science programming languages, such as Python, R, Matlab.
• Significant experience with ML frameworks such as PyTorch, TensorFlow, Theano, and Keras.
• Experience managing large data volumes (terabytes or more).
• Strong written and verbal communications, ability to translate complex topics to stakeholders.

Responsibilities

• Engage with product developers, customers, and experts to solve critical technical challenges using AI.
• Conduct research and create models for commercial and industrial applications (forecasting, optimization, scheduling, anomaly detection).
• Explore AI areas including reinforcement learning, foundation models, graph neural networks, causal modeling, transfer learning.
• Pioneer procedures/tools to improve data science productivity and quality.
• Contribute to AI product development and key data science research areas.
• Propose new projects and evaluate plans; respond to RFPs related to AI.
• Write patent applications and technical publications.

Skills

Forecasting

Optimization

Data Science

Python

R

Machine Learning

Communication

Education

Master's degree or PhD preferred

Tools

Python

R

MATLAB

PyTorch

TensorFlow

Theano

Keras

Job description

Candidates are expected to report to the office 5 days a week.
Education Qualification: Masters, MS, Ph.D.

Job Description:

The Applied Research team addresses hard, novel challenges that arise in product development or customer engagements. As a Data Scientist, you'll bring your knowledge and proven data science expertise to conduct research in machine learning-based solutions that improve our products and help our customers. Qualified candidates are deeply analytical with a keen understanding of artificial intelligence, machine learning, and data science. They are experienced researchers who know how to design worthwhile experiments and empirically derive conclusions. They have the ability, inclination, and experience to conduct research that solves practical problems. They have the communication skills to work closely with both research colleagues and customers.

Roles and Responsibilities

• Independently and effectively engage with internal product developers, external customers, and subject matter experts to understand and solve critical technical challenges through the application of cutting-edge artificial intelligence
• Conduct research and create models for commercial and industrial applications in: forecasting stochastic demand, economics based inventory optimization, manufacturing and network planning, transportation routing and resource scheduling, anomaly detection, prescriptive maintenance (e.g. based on IOT data), health and safety (e.g. based on computer vision and IOT data).
• Conduct research across artificial intelligence areas including reinforcement learning, foundation models, graph neural networks, causal modeling, transferability and continuous learning
• Pioneer procedures and/or automated toolsets to more efficiently and effectively perform data science activities
• Contribute to AI product development and key data science research areas, internally and externally
• Propose new projects or initiatives that will yield business benefits and evaluate project plans and proposals
• Evaluate and respond to RFPs related to artificial intelligence
• Conduct research and write patent applications and technical publications

Required Skills

• Experience with research-level innovation in Data Science and ML, preferably with an advanced degree.
• 6+ years of experience in one or more of forecasting, optimisation (inventory/ supply chain/ network/ transportation), procurement, prescriptive maintenance, fine-tuning language models, creating domain agents, computer vision. Experience with reinforcement learning including MARL, graph neural networks, economic and probabilistic modeling is a plus.
• Strong understanding of Data Science, including machine learning, statistics, probability, and modeling.
• Significant experience with Data Science programming languages, such as Python, R, Matlab
• Significant experience with machine learning frameworks, such as PyTorch, TensorFlow, Theano, and Keras.
• Applied knowledge of ML techniques/algorithms including linear models, neural networks, decision trees, Bayesian techniques, clustering, and anomaly detection
• Significant experience managing large volumes of data (terabytes or more)
• Experience with leading project teams, specifically data science teams
• Strong written and verbal communications, ability to translate complex technical topics to internal and external stakeholders.