317 Predictive Models jobs in Hyderabad

• Assist in collecting, cleaning, and preprocessing large datasets from various sources.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Develop data visualizations to communicate findings effectively to stakeholders.
• Support senior analysts in building statistical models and machine learning algorithms.
• Conduct research on data-related topics and emerging analytical techniques.
• Collaborate with cross-functional teams to understand data needs and deliver insights.
• Document methodologies, processes, and findings clearly and concisely.
• Participate in team meetings and contribute to project discussions.
• Learn and apply new data analysis tools and technologies.
• Assist in the development of reports and dashboards.
• Ensure data accuracy and integrity throughout the analysis process.
• Contribute to a culture of data-driven decision-making within the organization.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and analytical methods.
• Proficiency in data analysis tools and programming languages such as Python (Pandas, NumPy, Scikit-learn) and R.
• Familiarity with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy.
• Effective written and verbal communication skills.
• Ability to work independently and collaboratively in a remote team setting.
• Eagerness to learn and adapt to new technologies.
• A proactive approach to tasks and a keen interest in data science.

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and quantitative skills.
• Proficiency in SQL and at least one programming language (Python or R).
• Familiarity with data manipulation, analysis, and visualization techniques.
• Excellent problem-solving and critical-thinking abilities.
• Strong written and verbal communication skills.
• Ability to work independently and collaboratively in a remote environment.
• Eagerness to learn and grow in the field of data science and analytics.

• Assist in collecting, cleaning, and preprocessing large datasets from various sources.
• Perform data analysis using statistical methods and programming languages like Python or R.
• Develop data visualizations and dashboards to communicate findings effectively.
• Support the development and implementation of machine learning models.
• Collaborate with senior team members to identify trends, patterns, and insights within the data.
• Contribute to the documentation of data analysis processes and findings.
• Participate in team meetings and contribute ideas for data-driven solutions.
• Learn and apply new tools and techniques in data science and analytics.
• Assist in A/B testing and other experimental designs to evaluate hypotheses.
• Prepare reports and presentations on analysis results for internal stakeholders.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and analytical techniques.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
• Familiarity with data manipulation libraries (e.g., Pandas, dplyr).
• Basic knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent analytical and problem-solving skills.
• Strong communication and teamwork abilities, suitable for a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.
• Proactive attitude and ability to work independently with minimal supervision.
• A portfolio of personal projects or academic work showcasing data analysis skills is a plus.

• Acquire, process, and analyze remote sensing data (satellite, aerial imagery) for agricultural applications.
• Develop and implement GIS-based solutions for crop monitoring and management.
• Utilize remote sensing techniques to assess crop health, soil moisture, and nutrient status.
• Create predictive models for crop yields and disease outbreaks.
• Provide data-driven recommendations for precision agriculture practices.
• Collaborate with agronomists and farmers to integrate remote sensing data into field operations.
• Develop and maintain agricultural databases and GIS layers.
• Prepare technical reports and presentations on findings and recommendations.
• Stay updated on advancements in remote sensing, GIS, and agricultural technologies.
• Contribute to the development of innovative solutions for sustainable agriculture.

• Master's or Ph.D. in Agronomy, Crop Science, Soil Science, or a related agricultural field with a specialization in Remote Sensing and GIS.
• Minimum of 4 years of experience in applying remote sensing and GIS in agriculture.
• Proficiency in GIS software (ArcGIS, QGIS) and remote sensing software (ENVI, ERDAS Imagine).
• Experience with data analysis tools and programming languages (e.g., R, Python) for spatial data.
• Strong knowledge of crop physiology, soil science, and agricultural practices.
• Excellent analytical, statistical, and problem-solving skills.
• Strong communication and presentation skills.

What can you tell your friends

“As a Data Analyst at data.ai, I help analyze, monitor, and deliver comprehensive and high-quality app market data to app professionals. I am empowered to work independently with the support of team members spread across APAC, AMER, and EMEA. I am the key contributor to the new and existing product data quality analysis and convert it into actionable insight. I help build, maintain, and enhance the monitoring system with systematic and statistical measurements to ensure the entire core Intelligence data quality. I work closely with Product Managers, Data Scientists, and the Engineering team to develop, sustain and improve our product and ship it to the customers with pride.”

To ensure we execute on our values we are looking for someone who has a passion for:

As a Data Analyst, you will be working on data profiling, data cleansing, data quality monitoring, and root cause analysis which includes:

You should recognize yourself in the following…

This position is located in Hyderabad, India.

We are hiring for our engineering team at our data.ai India subsidiary entity, which is in the process of getting established . As we are awaiting approval from the Indian government, they shall be interim employees at Innova Solutions who is our Global Employer of Record.

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

As a Micron Front End Central Quality Senior Engineer, you will be a member of the worldwide quality team responsible for driving quality and reliability improvement initiatives into Front End Manufacturing network. Work closely with Global Quality and internal customers to perform data analysis in key metrics to monitor quality and reliability health including DPM and Uncorrectable Error (UE) metrics. Additionally, you will also work with business partners to develop the strategy for continually improving product quality and reliability for Front End and supporting Time to Mature DPM program and Time to Mature Uncorrectable Error (UE) program execution.

Responsibilities and Tasks include but not limited to

Skills and experience you will need: