19,603 Data Science Competitions jobs in India

Senior Data Scientist Machine Learning Statistical Modeling

Kolkata, West Bengal ₹1500000 - ₹2500000 Y Applied Data Finance

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About The Role

- We are looking for a talented and motivated Senior Data Scientist to join our Marketing and Product Analytics team
- In this role, you will work closely with cross-functional teams to analyse data, build models, and generate insights that drive key decisions across our marketing and product functions
- This is a fantastic opportunity to apply your analytical skills in a fast-paced, data-driven environment with a strong culture of experimentation and impact
- Conduct deep-dive analyses to uncover insights on user behaviour, marketing performance, and product engagement.
- Create clear, concise dashboards and reports to communicate findings to stakeholders.
- Partner with product managers, marketers, and engineers to design experiments and evaluate their outcomes.
- Continuously identify opportunities to improve decision-making through data.
- Extract, clean, and transform data to ensure quality and usability across analytics initiatives.
- Build, validate, and deploy machine learning and statistical models to solve business problems.
- Required Skills
- Proficient in Python and SQL (MySQL or Redshift experience preferred).
- Experience with data visualization tools (e.g., Tableau, Power BI, or Plotly).
- Solid understanding of machine learning, A/B testing, customer segmentation and statistical analysis.
- Strong problem-solving skills and a structured approach to working with complex datasets.
- Excellent communication skills with the ability to present findings clearly o non-technical audiences.
- Highly motivated and collaborative to excel in a fast-paced remote environment.
- Education and Background
- B.E
- 3-5 years of experience in an analytics/data science role
- Prior experience in marketing/customer analytics required.
- Prior experience working in a consumer-tech, credit/lending or fintech environment is a plus.

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Data Scientist - Data Analysis and Simulation

Bengaluru, Karnataka Siemens Healthcare Private Limited

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Healthineers is a leading global medical technology company with over 170 years of experience and 18,000 patents. More than 48,000 dedicated colleagues in over 70 countries are driven to shape the future of healthcare. We stand with our customers around the world to support them in delivering high quality care to their patients. An estimated 5 million patients across the globe benefit every day from our innovative technologies and services in the areas of diagnostic and therapeutic imaging, laboratory diagnostics and molecular medicine, as well as digital health and enterprise services. This is what truly matters to us.
- At Siemens Healthineers, we are passionate about enabling healthcare professionals to deliver high quality patient care, and to do so affordably. A leading global healthcare company, Siemens Healthineers continues to strengthen our portfolio of medical imaging and laboratory diagnostics, while adding new offerings such as managed services, consulting, and healthcare IT services - as well as further technologies in the growing market for therapeutic and molecular diagnostics.

Siemens Healthineers develops innovations that support better patient outcomes with greater efficiencies, giving providers the confidence, they need to meet the clinical, operational and financial challenges of a changing healthcare landscape.

Data Scientist
- The Data Analytics Team at Molecular Imaging department at Development Centre, Siemens Healthineers Bangalore is looking for a “Data scientist” to help in building solutions on the lines of a “Digital Twin” aimed at improving the Service Efficiency and Customer Experience of the SPECT/PET scanners.

Your Responsibility
- As a Data Scientist you will
- Discuss with Stakeholders to understand the problems from their context and define requirements with their KPIs
- Deliver actionable insights to stakeholders through visualization, presentation, and storytelling
- Analyze large scale, high-dimensionality data from varying sources of the Scanners from the Install base
- Create and strategize maintenance of knowledge graph Ontology for SPECT & PET Scanners
- Derive insights by manipulating unstructured, semi-structured and fully structured datasets
- Use your expertise in Machine Learning, NLP and Deep learning and design optimal solutions

Your Qualifications
- Solid command on statistics and hands on experience in data mining, machine learning to solve real-world use cases
- Possess advanced knowledge of concepts like Classification, Clustering, Topic Modelling
- Experiential Knowledge of Programming languages such as Python, Java, basic HTML and packages like Scikit Learn, NLTK etc
- Experiential knowledge of semantic web related specifications and tools.RDF, RDFS, Querying and Data Manipulation in SPARQL
- Awareness of RDF stores like Blazegraph, GraphDB is a plus

**Organization**: Siemens Healthineers

**Company**: Siemens Healthcare Private Limited

**Experience Level**: Experienced Professional

**Job Type**: Full-time
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Principal Data Scientist/Sr Data Scientist/Data Scientist

₹2000000 - ₹2500000 Y Benovymed Healthcare Private Limited

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Job DescriptionPrincipal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup.Joining : Immediately.Global HQ, Benovymed Global Technology Development and Innovation Center & Benovymed Global R and D, and AI Health Innovation Center in Delhi NCR.Job Role Responsibility Description :We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare.Required Skillsets :- Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers.- Need to be able to communicate their findings, orally and visually.- Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.-- Need to have a natural desire to go beneath the surface of a problem.- Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown.- Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming.- Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch.In addition the need to be familiar with disciplines as follows :- Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing.Data scientists should have at least some of the following capabilities :- Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment.- Being able to develop or program databases.- Having a good understanding of design & architecture principles.Qualification :B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT.Mandatory Requirement :Experience :- Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist.- Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems.CTC :- Best Package in Industry.- Terms & Conditions Apply as per our organization.- To deserving eligible candidates only, the company Equity / ESOP may be given also as a part of a Package for a long-term career opportunity.- Apply with your CV with passport size photo, & current CTC, expected CTC, Notice Period, Project details & cover letter.KeywordsData Science,Data Scientist,Machine Learning,Python,Tensorflow,Numpy,Data Modeling,Artificial Intelligence,NLP,Deep Learning*

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Data Scientist/Senior Data Scientist

Bengaluru, Karnataka ₹120000 - ₹200000 Y Fractal

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It's fun to work in a company where people truly BELIEVE in what they are doing

We're committed to bringing passion and customer focus to the business.
Job Title:
Data Scientist/Senior Data Scientist

Location:
Bangalore/Mumbai/Gurgaon/Chennai/Pune/Noida/Hyderabad

Responsibilities

  • Design and implement advanced solutions utilizing Large Language Models (LLMs).
  • Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.
  • Conduct research and stay informed about the latest developments in generative AI and LLMs.
  • Develop and maintain code libraries, tools, and frameworks to support generative AI development.
  • Participate in code reviews and contribute to maintaining high code quality standards.
  • Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.
  • Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility.
  • Possess strong analytical and problem-solving skills.
  • Demonstrate excellent communication skills and the ability to work effectively in a team environment.

Primary Skills

  • Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation.

AND/OR

  • Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.
  • Generative AI:

  • Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.

  • Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.

  • Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.

  • Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us

Not the right fit? Let us know you're interested in a future opportunity by clicking
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Data Scientist

Pune, Maharashtra BP Energy

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Entity:

Customers & Products


Job Family Group:

IT&S Group


Job Description:

Job Description

Do you want to make a real contribution to the sustainability of our planet? Electric vehicles are having a huge impact on the energy transition, join bp pulse and you can be part of that impact!

bp pulse is one of the fastest growing EV charging networks globally, and we need YOU to help us on our adventure to get to an Electric Future.

We are seeking a motivated and detail-oriented Data Scientist to join our dynamic team, who will play and integral part in our continued growth. Improving how we use data and advanced analytics to optimise our sites identification, setup and commercial performance. The ideal candidate will have a strong foundation in data analysis, statistical methods, machine learning and Python programming. This role offers an excellent opportunity to apply your skills to real-world problems.

Shift hours - 12.30 PM IST to 9.30 PM IST

Role Summary

  • Data Collection and Cleaning: Gather, preprocess, and clean data from various sources to ensure data quality and integrity.

  • Data Analysis: Perform exploratory data analysis to uncover trends, patterns, insights.

  • Model Development: Developing, testing, and validating predictive models using machine learning.

  • Python Programming: Write efficient and maintainable Python code for data manipulation, analysis, and model implementation.

  • Visualization: Create clear and informative data visualizations to communicate findings to stakeholders.

  • Collaboration: Work closely with cross-functional teams to understand business requirements and deliver data-driven solutions.

  • Documentation: Maintain thorough documentation of methodologies, processes, and code.

Qualifications

  • Education: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

 Technical Skills

  • Strong SQL & Python knowledge and a good understanding of cloud computing and cloud deployment (ideally AWS)

  • Analytical Skills: Strong problem-solving abilities and attention to detail and eager to learn.

  • Communication Skills: Excellent verbal and written communication skills.

  • Team Player: Ability to work effectively in a collaborative team environment.

 Preferred Qualifications

  • Minimum 3 years of experience in data science, analysis or engineering with proven delivery of ML projects.

  • Knowledge of machine learning algorithms and their practical applications.

  • experience with customer or geospatial data is a plus. Experience with time series forecasting or causal models is plus as well.

Why Join our team?

At bp, we support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly. Diversity Statement: At bp, we provide an excellent environment and benefits such as an open and inclusive culture, a great work-life balance, tremendous learning and development opportunities to craft your career path, life and health insurance, medical care package and many others!

Diversity sits at the heart of our company and as an equal opportunity employer, we stay true to our mission by ensuring that our place can be anyone's place. We do not discriminate based on race, religion, colour, national origin, gender and gender identity, sexual orientation, age, marital status, veteran status or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.


Travel Requirement

Negligible travel should be expected with this role


Relocation Assistance:

This role is eligible for relocation within country


Remote Type:

This position is a hybrid of office/remote working


Skills:

Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving


Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us .

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

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Data Scientist

Chennai, Tamil Nadu Ford Motor Company

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**Ford/GDIA Mission and Scope:**
At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.
Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That's where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making.
The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics.
Job Responsibilities
+ Build an in-depth understanding of the problem domain and available data sources.
+ Identify opportunities to build analytical solutions driving business value, leveraging various data sources.
+ Extract and Analyse data from database/data warehouse to gain insights, discover trends and patterns.
+ Communicate results to business teams through presentations.
+ Design and implement scalable analytical solutions (Dashboards, statistical models, AI/ML models) in cloud environment.
+ Train, test and operationalize models for business use cases; integrates models with upstream and downstream business processes.
+ Work with business partners through problem formulation, data management, solutions development, operationalization and solutions management
Technical Skills:
+ Python, Statistics, SQL, Visualization, GCP (Preferred), Machine Learning frameworks
+ Nice to have: API Development, Familiarity with Agile development cycle, Exposure to Gen AI/LLM
Functional Skills:
+ Problem Formulation & Problem-Solving Skills
+ Excellent Interpersonal skills
+ Clear and coherent communication, both verbal and written
+ Proactive learner
+ Bachelor's or master's degree in computer science, Statistics, Applied Mathematics, or a related engineering discipline (preferred)
+ Minimum of 3 years of hands-on experience in solving business problems using data science/AI/ML
+ Strong proficiency in Python programming and SQL
+ Experience working with cloud technologies, preferably Google Cloud Platform (GCP)
+ Demonstrated expertise in statistics, machine learning.
Excellent communication skills, with the ability to explain complex concepts in simple, easy-to-understand terms.
**Requisition ID** : 51603
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Data Scientist

Pune, Maharashtra AGCO Corporation

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Data Scientist
Date: Sep 18, 2025
Req ID:
Location:
Pune, MH, IN
Workplace Type: Hybrid/Remote
Do you want to help solve the world's most pressing challenges? Feeding the world's growing population and slowing climate change are two of the world's greatest challenges. AGCO is a part of the solution! Join us to make your contribution.
AGCO is looking to hire candidates for the position of **Data Scientist**
**Your Impact**
+ Data Management and Analysis: Extract, clean, and analyze large datasets from diverse sources, including telemetry data, test fleet data, and test bench data, to support engineering and AI applications in the agricultural machinery domain.
+ Insight Generation: Identify patterns, trends, and correlations in data to derive actionable insights that inform product development, parts design, specifications, and operational decisions.
+ Cross-Functional Collaboration: Work closely with cross-functional teams to drive data-driven decision-making and foster innovative solutions that enhance engineering efficiency, improve product quality, and enable the development of new, data-driven solutions for product usage.
+ Model Development and Refinement: Continuously develop, evaluate, and refine analytical models and methods to ensure their accuracy, scalability, and relevance to business needs.
+ Machine Learning Applications: Develop machine learning models to predict maintenance needs, optimize machine settings, analyze customer usage patterns, and enhance overall product performance.
**Your Experience and Qualifications**
+ 5+ years of experience working with structured data, including cleaning, manipulating, and data mining. Experience with unstructured data is a plus.
+ Proven experience with at least two of the following: statistical models, machine learning, deep learning (preferably time series or large language models for NLP, topic modeling, or conversational AI). Familiarity with model setup, fine-tuning, evaluation, and deployment.
+ Strong proficiency in Python, SQL, PySpark, and common frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Familiarity with R is a plus.
+ Experience with cloud-based tools like Apache Spark, Databricks, AWS Glue, and Amazon SageMaker.
+ Strong data visualization skills and experience with BI tools (e.g., Dash, Tableau, Shiny).
**Your Benefits**
+ GLOBAL DIVERSITY - Diversity means many things to us, different brands, cultures, nationalities, genders, generations - even variety in our roles. You make us unique!
+ ENTERPRISING SPIRIT- Every role adds value. We're committed to helping you develop and grow to realize your potential.
+ POSITIVE IMPACT - Make it personal and help us feed the world.
+ INNOVATIVE TECHNOLOGIES - You can combine your love for technology with manufacturing excellence - and work alongside teams of people worldwide who share your enthusiasm.
+ MAKE THE MOST OF YOU - Benefits include health care and wellness plans and flexible and virtual work options.
**Your Workplace**
We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives.
**Join us as we bring agriculture into the future and apply now!**
Please note that this job posting is not designed to cover or contain a comprehensive listing of all required activities, duties, responsibilities, or benefits and may change at any time with or without notice.
**AGCO is proud to be an Equal Opportunity Employer.**
**Job Segment:** Agronomy, Data Mining, Database, SQL, Scientist, Agriculture, Technology, Science
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Data Scientist

Pune, Maharashtra AGCO Corporation

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Job Description

Data Scientist
Date: Sep 18, 2025
Req ID:
Location:
Pune, MH, IN
Workplace Type: Hybrid/Remote
Do you want to help solve the world's most pressing challenges? Feeding the world's growing population and slowing climate change are two of the world's greatest challenges. AGCO is a part of the solution! Join us to make your contribution.
AGCO is looking to hire candidates for the position of **Data Scientist**
**Your Impact**
+ Data Management and Analysis: Extract, clean, and analyze large datasets from diverse sources, including telemetry data, test fleet data, and test bench data, to support engineering and AI applications in the agricultural machinery domain.
+ Insight Generation: Identify patterns, trends, and correlations in data to derive actionable insights that inform product development, parts design, specifications, and operational decisions.
+ Cross-Functional Collaboration: Work closely with cross-functional teams to drive data-driven decision-making and foster innovative solutions that enhance engineering efficiency, improve product quality, and enable the development of new, data-driven solutions for product usage.
+ Model Development and Refinement: Continuously develop, evaluate, and refine analytical models and methods to ensure their accuracy, scalability, and relevance to business needs.
+ Machine Learning Applications: Develop machine learning models to predict maintenance needs, optimize machine settings, analyze customer usage patterns, and enhance overall product performance.
**Your Experience and Qualifications**
+ 3+ years of experience working with structured data, including cleaning, manipulating, and data mining. Experience with unstructured data is a plus.
+ Proven experience with at least two of the following: statistical models, machine learning, deep learning (preferably time series or large language models for NLP, topic modeling, or conversational AI). Familiarity with model setup, fine-tuning, evaluation, and deployment.
+ Strong proficiency in Python, SQL, PySpark, and common frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Familiarity with R is a plus.
+ Experience with cloud-based tools like Apache Spark, Databricks, AWS Glue, and Amazon SageMaker.
+ Strong data visualization skills and experience with BI tools (e.g., Dash, Tableau, Shiny).
**Your Benefits**
+ GLOBAL DIVERSITY - Diversity means many things to us, different brands, cultures, nationalities, genders, generations - even variety in our roles. You make us unique!
+ ENTERPRISING SPIRIT- Every role adds value. We're committed to helping you develop and grow to realize your potential.
+ POSITIVE IMPACT - Make it personal and help us feed the world.
+ INNOVATIVE TECHNOLOGIES - You can combine your love for technology with manufacturing excellence - and work alongside teams of people worldwide who share your enthusiasm.
+ MAKE THE MOST OF YOU - Benefits include health care and wellness plans and flexible and virtual work options.
**Your Workplace**
We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives.
**Join us as we bring agriculture into the future and apply now!**
Please note that this job posting is not designed to cover or contain a comprehensive listing of all required activities, duties, responsibilities, or benefits and may change at any time with or without notice.
**AGCO is proud to be an Equal Opportunity Employer.**
**Job Segment:** Agronomy, Data Mining, Database, SQL, Scientist, Agriculture, Technology, Science
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Data Scientist

Bangalore, Karnataka Caterpillar, Inc.

Posted 3 days ago

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Job Description

**Career Area:**
Technology, Digital and Data
**Job Description:**
**Your Work Shapes the World at Caterpillar Inc.**
When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Performs analytical tasks and initiatives on huge amounts of data to support data-driven business decision and development & own the Freight Audit process.
**Responsibilities:**
- Directing data gathering, data mining, and data processing processes in huge volume; creating appropriate data models.
- Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.
- Leading to define requirements and scope of data analyses, presenting and reporting possible business insights to management using data visualization technologies.
- Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.
**Essential Skills, Characteristics, & Experience :**
- 5+ years of experience in Analytics, Machine Learning, AI, Predictive Modeling
- Master's in computer science/mathematics/supply chain/Statistics preferred
- Strong quantitative analysis, statistics, programming, and statistical modeling skills.
- Understanding of core ML concepts and its application in solving real world problems
- High level of comfort/expertise in SAS & Python
- Visualization using Power-BI/Tableau.
- Capable problem solver who uses logic to create effective solutions to complex customer problems
- Possess a Lean Mindset for executing continuous improvements/automations in the process which is being delivered
- Previous experience in Supply chain, Logistics and IT Systems experience preferred
- Must demonstrate superior innovation, leadership, initiative, judgment, interpersonal skills and the ability to communicate quantitative information effectively.
**Skill Descriptors:**
**Business Statistics:** Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
Level Basic Understanding:
- Identifies and describes basic statistical measures.
- Summarizes the underlying uncertainties associated with statistical analysis and reporting.
- Describes the relationship between statistical measurement and continuous improvement.
- Cites examples and meaning of statistics used in own area.
**Accuracy and Attention to Detail:** Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
Level Working Knowledge:
- Accurately gauges the impact and cost of errors, omissions, and oversights.
- Utilizes specific approaches and tools for checking and cross-checking outputs.
- Processes limited amounts of detailed information with good accuracy.
- Learn from mistakes and apply lessons learned.
- Develops and uses checklists to ensure that information goes out error-free.
**Analytical Thinking:** Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
Level Basic Understanding:
- Names specific tools or techniques that can be used to support the analytical thinking process.
- Describes specific software applications or products used for business analytics.
- Gives examples of how analytical thinking has been used to resolve problems.
- Helps others research and learn more about business analytics tools and applications.
**Machine Learning:** Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
Level Basic Understanding:
- Explains the definition and objectives of machine learning.
- Describes the algorithms and logic of machine learning.
- Distinguishes between machine learning and deep learning.
- Gives several examples on the implementation of machine learning.
**Programming Languages:** Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
Level Basic Understanding:
- Describes the basic concepts of programming and program construction activities.
- Uses programming documentation including program specifications in order to maintain standards.
- Describes the capabilities of major programming languages.
- Identifies locally relevant programming tools.
**Query and Database Access Tools:** Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
Level Basic Understanding:
- Identifies query facilities that are available in one's own environment.
- Explains organization's standards, procedures and practices for building queries.
- Describes the functions and features of query and database access tools.
- Identifies the key benefits and drawbacks of query languages.
**Requirements Analysis:** Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.
Level Working Knowledge:
- Follows policies, practices and standards for determining functional and informational requirements.
- Confirms deliverables associated with requirements analysis.
-Communicates with customers and users to elicit and gather client requirements.
- Participate in the preparation of detailed documentation and requirements.
- Utilizes specific organizational methods, tools and techniques for requirements analysis.
**Posting Dates:**
September 19, 2025 - October 2, 2025
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
Not ready to apply? Join our Talent Community ( .
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  54. biotech Pharmaceutical
  55. checklist_rtl Project Management
  56. shopping_bag Purchasing
  57. home_work Real Estate
  58. person_search Recruitment Consultancy
  59. store Retail
  60. point_of_sale Sales
  61. science Scientific Research & Development
  62. wifi Telecoms
  63. psychology Therapy
  64. pets Veterinary
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