Data Science Consultant 1 - Machine Learning / Data Science
At a glance
Mid-level Machine Learning Engineering role at Jda. IND - Coimbatore (708) · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and tune classifiers with machine learning methods, then use data mining to surface useful patterns
- Bring in outside data when needed and improve collection processes so analytics systems receive relevant information
- Clean and check datasets before analysis, including verifying their integrity
- Run one-off analyses and explain the findings clearly to stakeholders
- Investigate customer forecasting and data-quality concerns, write forecasting checks, and build custom ML and AI utilities
What you bring
- You have one and a half to three years of relevant experience
- You hold a bachelor's or master's degree in computer science focused on data science
- You understand machine learning methods and applied statistics, including regression, distributions and hypothesis testing
- You can use at least two named data science tools, such as Python, NumPy or Pandas
- You have experience with LLMs, NLP and neural networks
Who this fits
This mid-level role suits someone who can combine statistical analysis with practical machine learning and clear stakeholder communication. You’ll support client onboarding and ongoing applied data science work, collaborate through deployment and operations, and mentor junior colleagues. The role is based in India.
From the employer
Overview:
- Join one of the world’s leading AI-driven supply chain solutions companies, recognized by Glassdoor as one of the “Best Places to Work.”
- We are looking for a skilled individual with a strong foundation in statistical and analytical methods, who can also collaborate effectively with teams during deployment and operational phases. Expertise in implementing industry best practices is a plus.
Position Scope:
- As a Data Science Consultant, you will be a key player in onboarding clients onto Blue Yonder’s Luminate Planning suite of solutions and providing ongoing support through our Applied Data Science offering.
- Our team currently consists of approximately 30 associates in India, part of a larger global team spanning the US and Germany, and is poised for rapid growth. Strong communication and leadership abilities are essential, as you will mentor junior team members.
What You'll do:
- Select, build, and optimize classifiers using advanced machine learning techniques.
- Conduct data mining using cutting-edge methods and tools.
- Integrate third-party data sources to enhance the company’s datasets when necessary.
- Refine data collection procedures to ensure relevant data is available for analytic systems.
- Process, cleanse, and verify the integrity of data used for analysis.
- Perform ad-hoc analysis and present results clearly to stakeholders.
- Address customer concerns regarding forecasting issues and data quality, and write codes to perform forecasting checks.
- Building custom utilities using advance ML and AI techniques to solve business problems
What We are Looking for:
- Solid understanding of machine learning algorithms (e.g., Linear Regression, K-Means Clustering, Naive Bayes).
- Proficiency in data science toolkits such as Python, NumPy, Pandas, Matplotlib, Seaborn (expertise in at least two is required).
- Experience in LLM, NLP techniques and Neural network.
- Experience in supply chain concepts and statistical analysis.
- Knowledge of operations research concepts, including integer, linear, and stochastic programming.
- Strong critical and operational thinking skills.
- Familiarity with data visualization tools such as Streamlit and Power BI.
- Proficiency in query languages such as SQL and Snowflake, or Python-based SQL wrappers.
- Solid grounding in applied statistics, including distributions, hypothesis testing, and regression analysis.
- Bonus skills: familiarity with Dask/parallel processing, Airflow orchestration tools, Postman/API integration.
- Strong scripting and programming capabilities.
- Data-driven mindset with an eye for detail.
Educational Background:
- Bachelor’s or Master’s degree in Computer Science with a focus on Data Science.
Experience:
- 1.5 to 3 years of relevant experience.
Our Values
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
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Machine Learning Engineering
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