Jda

Data Science Consultant 1 - Machine Learning/ Data Science

IND - Coimbatore (708)

Actively hiring, first seen by us 6 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Select, build, and optimize classifiers using advanced machine learning techniques
Address customer forecasting and data quality concerns, and write code for forecasting checks
Process, cleanse, and verify the integrity of data used for analysis
Perform ad-hoc analysis and present results clearly to stakeholders
Conduct data mining and integrate third-party data sources to enhance datasets

From the employer’s posting

Select, build, and optimize classifiers using advanced machine learning techniques.

Address customer concerns regarding forecasting issues and data quality, and write codes to perform forecasting checks.

Process, cleanse, and verify the integrity of data used for analysis.

Perform ad-hoc analysis and present results clearly to stakeholders.

Conduct data mining using cutting-edge methods and tools.

What you’ll bring

All qualifications

Core experience

Solid understanding of machine learning algorithms (e.g., Linear Regression, K-Means Clustering, Naive Bayes).
Bachelor’s or Master’s degree in Computer Science with a focus on Data Science.
1.5 to 3 years of relevant experience.
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.

Qualification wording

Solid understanding of machine learning algorithms (e.g., Linear Regression, K-Means Clustering, Naive Bayes).

Bachelor’s or Master’s degree in Computer Science with a focus on Data Science.

1.5 to 3 years of relevant experience.

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.

Education & alternatives

Educational Background: - Bachelor’s or Master’s degree in Computer Science with a focus on Data Science. Experience:

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Posting record

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Actively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 29, 20266 days ago
Recorded sightings: 7
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 6

Similar jobs usually come down between day 6 and day 68.

From 4,292 similar postings that came down. Coming down is not always a hire.

Jda is hiring

6 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring at a steady pace
Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

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Python
SQL
Power BI
Snowflake
Airflow
Dask
Matplotlib
NumPy
pandas
Streamlit

Where the posting names them

- 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.

- 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.

- 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.

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Job description

View original posting ↗

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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