Hyderabad, TS, IN
Actively hiring, first seen by us 13 days agoEmployment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Apply machine learning and statistical modeling to manufacturing data
Extract and integrate data from multiple sources using SQL, APIs and ETL/ELT pipelines
Cleanse and transform data, handling outliers and missing values
Communicate technical findings to technical and business stakeholders
Hands-on experience or strong knowledge in Agentic AI, machine learning, statistical modeling
Ability to extract and integrate data from multiple sources using SQL, APIs, ETL/ELT pipelines
Strong understanding of data cleansing, feature extraction, outlier detection, missing-data handling
Strong verbal and written communication skills with the ability to communicate technical findings effectively to both technical and business stakeholders
Strong proficiency in Python and/or R, with solid software development and scripting capabilities
Experience working with SQL databases and large-scale data platforms, including Snowflake, Teradata, or similar technologies
Hands-on experience or strong knowledge in Agentic AI, machine learning, statistical modeling, feature engineering
Experience with TensorFlow, PyTorch, scikit-learn, or other machine learning/statistical frameworks
Actively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 13
Similar jobs usually come down between day 7 and day 57.
At Micron Technology, jobs usually come down by about day 25.
From 10,789 similar postings that came down, and 113 of Micron Technology’s. Coming down is not always a hire.
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Responsibilities include, but not limited to: Strong interest in building a career in Data Science, Machine Learning, Generative AI, and Agentic AI within highly automated manufacturing environments. * Hands-on experience or strong knowledge in Agentic AI, machine learning, statistical modeling, feature engineering, exploratory data analysis, and supervised/unsupervised/semi-supervised learning. * Strong proficiency in Python and/or R, with solid software development and scripting capabilities. * Experience working with SQL databases and large-scale data platforms, including Snowflake, Teradata, or similar technologies. * Knowledge of the Snowflake ecosystem, including data transformation, analytical workloads, and integration of Snowflake data with Python/ML applications. Experience with Snowpark, Snowflake Cortex AI, or similar AI/ML capabilities is a plus. * Experience with Microsoft Azure technologies, particularly services used for data, analytics, AI, and application deployment. Exposure to Azure Data Factory, Azure Databricks, Azure Machine Learning, Azure OpenAI, ADLS, or related Azure services is desirable. * Ability to extract and integrate data from multiple sources using SQL, APIs, ETL/ELT pipelines, and other query mechanisms. * Strong understanding of data cleansing, feature extraction, outlier detection, missing-data handling, data quality, and data transformation techniques. * Experience with distributed data processing technologies such as PySpark, Apache Spark, SparkR, or SparklyR. * Experience with TensorFlow, PyTorch, scikit-learn, or other machine learning/statistical frameworks. * Experience working with time-series data, image data, semi-supervised learning, anomaly detection, and datasets with frequently changing distributions is a plus. * Familiarity with SSIS, ETL/ELT processes, data pipelines, and data integration patterns. * Exposure to visualization or application technologies such as Tableau, Power BI, JavaScript, or Angular is beneficial. * Experience working with Manufacturing Execution Systems (MES) or semiconductor/manufacturing datasets is a plus but not required. * Experience with Generative AI, RAG, AI agents, LLM-based applications, prompt engineering, or enterprise AI solutions is highly desirable. * Strong software engineering fundamentals, including writing maintainable, reusable, production-quality code and working with version-control practices. * Strong analytical and problem-solving skills with the ability to translate complex business/manufacturing problems into scalable data and AI solutions. * Strong verbal and written communication skills with the ability to communicate technical findings effectively to both technical and business stakeholders. * Publications at conferences such as CVPR, NeurIPS, ICML, or KDD are a plus; however, this is an applied Data Science position rather than a research role. Job Profile(s):
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New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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Hyderabad, TS, IN
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