202 Data Science jobs in Bangalore

**Data Science Analyst**
_Remote -_ **_TBD_**
**Empower Those Who Make The World**
At Stanley Black & Decker, we believe in the power of people with purpose, integrity, and a relentless drive for excellence. Join our global team of 53,000+ professionals across 60 countries, making an impact on iconic brands like DEWALT, CRAFTSMAN, STANLEY, BLACK+DECKER, IRWIN, LENOX, and more.
**Your Impact**
As a Data Scientist on our Brand and Product Analytics team, you will:
+ Deliver actionable insights by collecting, mining, and analyzing complex data sets to drive business decisions and growth.
+ Apply data science, machine learning, and artificial intelligence-including emerging Generative AI tools and techniques-to solve real-world business challenges.
+ Stay current with the latest technologies (Gen AI, LLMs, cloud-native analytics) and leverage them to enhance our analytics capabilities.
+ Collaborate with stakeholders to define goals, select KPIs, monitor performance, and identify trends and opportunities.
+ Identify, design, and implement data process improvements, such as automating manual workflows, optimizing data infrastructure for scalability, and enhancing data delivery.
+ Diagnose system deficiencies and recommend practical, effective solutions.
+ Partner with IT and business teams to shape analytics and technology roadmaps aligned with strategic objectives.
+ Champion a data-driven culture, working with analytics and commercial experts to maximize the value of our data assets.
+ Provide robust data foundations for insights across Operations/Supply Chain, Marketing, Finance, Commercial, and more.
**Who You Are**
You are a curious, creative problem solver who thrives in a fast-evolving field. You embrace innovation, adapt quickly, and are passionate about learning new technologies. You bring:
+ **2+ years' experience** in data science, advanced analytics, or a related field
+ **Bachelor's degree in a technical field** such as Computer Science, Statistics, Mathematics, Data Science, Engineering, Machine Learning, or a closely related discipline
+ **Excellent communication skills** (written & spoken), with the ability to explain complex concepts to non-technical audiences
+ **Strong problem-solving abilities** : You approach challenges analytically and creatively, using data-driven methods to identify root causes and develop effective solutions. You are comfortable tackling ambiguous problems and breaking them down into actionable steps.
+ **Python expertise** : Highly proficient in Python for data analysis, modeling, and automation, with the ability to write clean, efficient, and well-documented code.
+ **SQL proficiency** : Strong skills in SQL for querying, manipulating, and managing large datasets across different database systems.
+ **Good coding skills** : Comfortable with general programming concepts, version control (e.g., Git), and collaborative codebases.
+ **Experience developing and tracking** Sales, Marketing, Finance, and Commercial metrics
+ **Expertise in Financial Modeling, Sensitivity Analysis, and A/B Testing**
+ **Hands-on experience with cloud platforms** (Snowflake, AWS, GCP, Azure) and modern data architectures
+ **Proficiency with Data Mining and ETL tools** (SQL, Python, R, db2, Alteryx, Knime, etc.)
+ **Experience designing and implementing real-time data pipelines** and handling streaming data
+ **Proficiency with data visualization tools** such as Power BI, Tableau, or similar platforms to communicate insights effectively
+ **Familiarity with Generative AI, Large Language Models (LLMs), and their business applications** (you don't need to be an expert, but you should be comfortable using and learning about these technologies)
+ **Experience with Forecasting, Risk Modeling, Product Portfolio Optimization, Market Mix Modeling, LTV Modeling, and Financial Forecasting**
**Nice to Have:**
+ Experience in Manufacturing, CPG, or Retail sales environments
+ Software development skills, including source code management (GitHub, BitBucket, Azure DevOps Repos, etc.)
+ Experience with MLOps, model deployment, and monitoring in production environments
+ Familiarity with data privacy, security, and responsible AI practices
**What You'll Receive**
+ Competitive salary and comprehensive benefits
+ Opportunities for professional growth and career advancement across our 20+ global brands
+ Access to world-class learning resources, including Lean Academy, Coursera, and our online university
+ A diverse, inclusive, and respectful workplace culture
+ Opportunities to give back through volunteerism and sustainable business practices
**Why Stanley Black & Decker?**
We're more than the #1 tools and storage company and #2 security solutions provider, with a leading presence in engineered fastening. We're visionaries and Industry 4.0 innovators. Join us and help empower makers, doers, protectors, and everyday heroes all over the world.
All qualified applicants to Stanley Black & Decker are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran's status, or any other protected characteristic.
**Data Science Analyst**
_Remote -_ **_TBD_**
**Empower Those Who Make The World**
At Stanley Black & Decker, we believe in the power of people with purpose, integrity, and a relentless drive for excellence. Join our global team of 53,000+ professionals across 60 countries, making an impact on iconic brands like DEWALT, CRAFTSMAN, STANLEY, BLACK+DECKER, IRWIN, LENOX, and more.
**Your Impact**
As a Data Scientist on our Brand and Product Analytics team, you will:
+ Deliver actionable insights by collecting, mining, and analyzing complex data sets to drive business decisions and growth.
+ Apply data science, machine learning, and artificial intelligence-including emerging Generative AI tools and techniques-to solve real-world business challenges.
+ Stay current with the latest technologies (Gen AI, LLMs, cloud-native analytics) and leverage them to enhance our analytics capabilities.
+ Collaborate with stakeholders to define goals, select KPIs, monitor performance, and identify trends and opportunities.
+ Identify, design, and implement data process improvements, such as automating manual workflows, optimizing data infrastructure for scalability, and enhancing data delivery.
+ Diagnose system deficiencies and recommend practical, effective solutions.
+ Partner with IT and business teams to shape analytics and technology roadmaps aligned with strategic objectives.
+ Champion a data-driven culture, working with analytics and commercial experts to maximize the value of our data assets.
+ Provide robust data foundations for insights across Operations/Supply Chain, Marketing, Finance, Commercial, and more.
**Who You Are**
You are a curious, creative problem solver who thrives in a fast-evolving field. You embrace innovation, adapt quickly, and are passionate about learning new technologies. You bring:
+ **2+ years' experience** in data science, advanced analytics, or a related field
+ **Bachelor's degree in a technical field** such as Computer Science, Statistics, Mathematics, Data Science, Engineering, Machine Learning, or a closely related discipline
+ **Excellent communication skills** (written & spoken), with the ability to explain complex concepts to non-technical audiences
+ **Strong problem-solving abilities** : You approach challenges analytically and creatively, using data-driven methods to identify root causes and develop effective solutions. You are comfortable tackling ambiguous problems and breaking them down into actionable steps.
+ **Python expertise** : Highly proficient in Python for data analysis, modeling, and automation, with the ability to write clean, efficient, and well-documented code.
+ **SQL proficiency** : Strong skills in SQL for querying, manipulating, and managing large datasets across different database systems.
+ **Good coding skills** : Comfortable with general programming concepts, version control (e.g., Git), and collaborative codebases.
+ **Experience developing and tracking** Sales, Marketing, Finance, and Commercial metrics
+ **Expertise in Financial Modeling, Sensitivity Analysis, and A/B Testing**
+ **Hands-on experience with cloud platforms** (Snowflake, AWS, GCP, Azure) and modern data architectures
+ **Proficiency with Data Mining and ETL tools** (SQL, Python, R, db2, Alteryx, Knime, etc.)
+ **Experience designing and implementing real-time data pipelines** and handling streaming data
+ **Proficiency with data visualization tools** such as Power BI, Tableau, or similar platforms to communicate insights effectively
+ **Familiarity with Generative AI, Large Language Models (LLMs), and their business applications** (you don't need to be an expert, but you should be comfortable using and learning about these technologies)
+ **Experience with Forecasting, Risk Modeling, Product Portfolio Optimization, Market Mix Modeling, LTV Modeling, and Financial Forecasting**
**Nice to Have:**
+ Experience in Manufacturing, CPG, or Retail sales environments
+ Software development skills, including source code management (GitHub, BitBucket, Azure DevOps Repos, etc.)
+ Experience with MLOps, model deployment, and monitoring in production environments
+ Familiarity with data privacy, security, and responsible AI practices
**What You'll Receive**
+ Competitive salary and comprehensive benefits
+ Opportunities for professional growth and career advancement across our 20+ global brands
+ Access to world-class learning resources, including Lean Academy, Coursera, and our online university
+ A diverse, inclusive, and respectful workplace culture
+ Opportunities to give back through volunteerism and sustainable business practices
**Why Stanley Black & Decker?**
We're more than the #1 tools and storage company and #2 security solutions provider, with a leading presence in engineered fastening. We're visionaries and Industry 4.0 innovators. Join us and help empower makers, doers, protectors, and everyday heroes all over the world.
All qualified applicants to Stanley Black & Decker are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran's status, or any other protected characteristic.
**_We Don't Just Build The World, We Build Innovative Technology Too._**
Joining the Stanley Black & Decker team means working in an innovative, tech-driven and highly collaborative team environment supported by over 58,000 professionals in 60 countries across the globe. Here, you'll get the unique chance to impact some of the world's most iconic brands including STANLEY TOOLS, DEWALT, CRAFTSMAN, MAC TOOLS and Black + Decker. Your ideas and solutions have the potential to reach millions of customers as we work together to write the next chapter in our history. Come build with us and take your career to new heights.
**Who We Are**
We're the World's largest tool company. We're industry visionaries. We're solving problems and advancing the manufacturing trade through innovative technology and our Industry 4.0 Initiative. We are committed to ensuring our state-of-the-art "smart factory" products and services provide greater quality to our customers & greater environmental and social value to our planet. We are unique in that we have a rich and storied history dating back to 1843, but that hasn't stopped us from evolving into a vibrant, diverse, global growth company.
**Global Benefits & Perks**
You'll be rewarded with a competitive salary plus receive entitlements and benefits unique to your country of hire.
**What You'll Also Get**
Career Opportunity: Career paths aren't linear here. Being part of our global company with 60+ brands gives you the chance to grow and develop your skills along multiple career paths.
**Learning & Development:**
Our lifelong learning philosophy means you'll have access to a wealth of state-of-the-art learning resources, including our Lean Academy and online university (where you can get certificates and specializations from renowned colleges and universities).
**Diverse & Inclusive Culture:**
We pride ourselves on being an awesome place to work. We respect and embrace differences because that's how the best work gets done. You'll find we like to have fun here, too.
**Purpose-Driven Company:**
You'll help us continue to make positive changes in the local communities where we work and live as well as in the broader world through volunteerism, giving back and sustainable business practices.

**Who We Are**
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer.
You will dive deep into the heart of our business, understanding its objectives and requirements - viewing them through the lens of business acumen, and converting this knowledge into a data problem. You'll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.
In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention - models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.
Additionally, you're not just building and validating models - you're deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.
Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset - ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.
If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**Who You Are**
Who You Are
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
Required Skills and Experience
-12+ years in IT , Knowledge of modeling tools and programming languages, e.g., Azure ML, Vortex AI AutoML, SageMaker, or Python
-Excellent problem-solving, analytical, and critical thinking skills
-Communication and presentation skills, with the ability to convey complex data insights to both technical and non-technical audiences
-Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail
Preferred Skills and Experience
-Degree in a quantitative discipline, such as mathematics, statistics, computer science, or mechanical engineering
-Professional certification, e.g., Open Certified Data Scientist
-Cloud platform certification, e.g., AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, or Microsoft Certified: Azure Data Scientist Associate
-Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio
-Experience in at least one domain, e.g., cybersecurity, IT service management, financial services, or health care
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Our client is looking for an enthusiastic and motivated Data Science Apprentice to join their growing analytics team in Bengaluru, Karnataka, IN . This is an excellent opportunity for individuals passionate about data and eager to kick-start their career in the field of data science. As a Data Science Apprentice, you will work alongside experienced data scientists and analysts, gaining hands-on experience in various aspects of data analysis, model building, and insight generation. You will be involved in collecting, cleaning, and preprocessing large datasets from various sources. Your responsibilities will include assisting in the development and implementation of data models, performing exploratory data analysis (EDA) to uncover trends and patterns, and contributing to the creation of data visualizations and reports. You will learn to use data science tools and programming languages such as Python or R, and gain exposure to machine learning algorithms and statistical techniques. The ideal candidate is a quick learner, possesses strong analytical and problem-solving skills, and has a foundational understanding of statistics and mathematics. Excellent communication skills and a proactive attitude are essential. This apprenticeship offers a structured learning environment with mentorship, providing the knowledge and practical skills necessary to excel in a data science career. Join us to contribute to impactful projects and grow your expertise in a dynamic and supportive setting.

Key Responsibilities:

• Assist in data collection, cleaning, and transformation processes.
• Perform exploratory data analysis (EDA) to identify trends and patterns.
• Support the development and implementation of data models and machine learning algorithms.
• Create data visualizations and reports to communicate findings.
• Learn and apply statistical and mathematical concepts to data analysis.
• Collaborate with senior data scientists on various projects.
• Assist in the maintenance and improvement of data pipelines.
• Contribute to documentation of data processes and methodologies.
• Participate in team meetings and learning sessions.
• Develop basic proficiency in data analysis tools and programming languages.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Strong interest and passion for data science and analytics.
• Basic understanding of statistics, mathematics, and programming concepts.
• Familiarity with Python or R is a plus.
• Analytical mindset and problem-solving abilities.
• Excellent communication and teamwork skills.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work effectively in a hybrid work environment.

**42901BR**
**Requisition ID:**
42901BR
**Business Unit:**
COR
**Job Description:**
AI Model Development: Design, develop, and implement cutting-edge machine learning algorithms and models, focusing on NLP, Generative AI, and other AI technologies.
- Research and Innovation: Stay up to date with the latest advancements in machine learning and artificial intelligence. Conduct research to identify new techniques and approaches to improve our AI solutions.
- Data Analysis: Analyze large and complex datasets to extract meaningful insights. Apply statistical analysis and machine learning techniques to gain a deeper understanding of the data.
- Collaboration: Collaborate with cross-functional teams, including software engineers and data scientists, to integrate machine learning models into applications and systems effectively.
- Algorithm Optimization: Optimize machine learning algorithms for performance, scalability, and efficiency. Identify and resolve bottlenecks to ensure smooth and fast execution.
- Testing and Validation: Evaluate the performance of machine learning models using appropriate metrics. Conduct rigorous testing and validation to ensure the accuracy and reliability of the models.
- Documentation: Document the development process, algorithms, and models. Prepare clear and concise technical documentation for reference and knowledge sharing.
- Ability to conduct cost/benefit analysis, Business case development etc. Prioritize requirements and create conceptual prototypes and mock-ups.
- Master strategic business process modeling, traceability, and quality management techniques.
- Strong verbal and written communication and presentation skills.
- Experience identifying and communicating analytical outcomes, verbally and in writing, to both business and technical teams.
**Job Title:**
Intermediate Data Science Specialist
**Group:**
COR
**Employment Type:**
Regular
**Minimum Qualifications:**
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.)
- Proven Familiarity of Finance & Accounting principles and/or project accounting.
- Proven experience in developing and implementing machine learning models, particularly in areas like NLP and Generative AI.
- Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks.
- Strong understanding of deep learning architectures, algorithms, and frameworks.
- Experience with natural language processing techniques, sentiment analysis, text summarization, and related NLP tasks.
- Familiarity with generative models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).
- Bachelor's degree in computer science, Information Management/IT, Statistics, Business Administration, or related disciplines.
- Master's Degree in Statistics, Business Administration or related disciplines is a plus.
- Certifications in Data Analytics & Data Science is a plus.
- Must have 3+ years of experience working on ML algorithms and related products.
- Must have 3+ years of experience working with relational databases (Oracle), query authoring (SQL).
- Experience in Business Intelligence tools like Qlik Sense, Tableau, Power BI is a plus.
- Experience on creating the Dashboards, Scorecards, Ad-hoc Reports.
- Strong Knowledge in ERP (Oracle EBS: Projects, AR, AP Modules)
**Why CDM Smith?:**
Check out this video and find out why our team loves to work here!
Join Us! CDM Smith - where amazing career journeys unfold.
Imagine a place committed to offering an unmatched employee experience. Where you work on projects that are meaningful to you. Where you play an active part in shaping your career journey. Where your co-workers are invested in you and your success. Where you are encouraged and supported to do your very best and given the tools and resources to do so. Where it's a priority that the company takes good care of you and your family.
Our employees are the heart of our company. As an employer of choice, our goal is to provide a challenging, progressive and inclusive work environment which fosters personal leadership, career growth and development for every employee. We value passionate individuals who challenge the norm, deliver world-class solutions and bring diverse perspectives. Join our team, and together we will make a difference and change the world.
**Job Site Location:**
India - Bangalore
**Agency Disclaimer:**
All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Recruitment Center Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith and any resume submitted to any employee outside of CDM Smith Recruiting Center Team (RCT) will be considered property of CDM Smith. CDM Smith will not be held liable to pay a placement fee.
**Amount of Travel Required:**
0%
**Assignment Category:**
Fulltime-Regular
**Background Check and Drug Testing Information:**
CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as "CDM Smith") reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing.

**42123BR**
**Requisition ID:**
42123BR
**Business Unit:**
COR
**Job Description:**
- AI Model Development: Design, develop, and implement cutting-edge machine learning algorithms and models, focusing on NLP, Generative AI, and other AI technologies.
- Research and Innovation: Stay up to date with the latest advancements in machine learning and artificial intelligence. Conduct research to identify new techniques and approaches to improve our AI solutions.
- Data Analysis: Analyze large and complex datasets to extract meaningful insights. Apply statistical analysis and machine learning techniques to gain a deeper understanding of the data.
- Collaboration: Collaborate with cross-functional teams, including software engineers and data scientists, to integrate machine learning models into applications and systems effectively.
- Algorithm Optimization: Optimize machine learning algorithms for performance, scalability, and efficiency. Identify and resolve bottlenecks to ensure smooth and fast execution.
- Testing and Validation: Evaluate the performance of machine learning models using appropriate metrics. Conduct rigorous testing and validation to ensure the accuracy and reliability of the models.
- Documentation: Document the development process, algorithms, and models. Prepare clear and concise technical documentation for reference and knowledge sharing.
- Ability to conduct cost/benefit analysis, Business case development etc. Prioritize requirements and create conceptual prototypes and mock-ups.
- Master strategic business process modeling, traceability, and quality management techniques.
- Strong verbal and written communication and presentation skills.
- Experience identifying and communicating analytical outcomes, verbally and in writing, to both business and technical teams.
**Job Title:**
Entry Data Science Specialist
**Group:**
COR
**Employment Type:**
Regular
**Minimum Qualifications:**
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.)
- Proven Familiarity of Finance & Accounting principles and/or project accounting.
- Proven experience in developing and implementing machine learning models, particularly in areas like NLP and Generative AI.
- Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks.
- Strong understanding of deep learning architectures, algorithms, and frameworks.
- Experience with natural language processing techniques, sentiment analysis, text summarization, and related NLP tasks.
- Familiarity with generative models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).
- Bachelor's degree in computer science, Information Management/IT, Statistics, Business Administration, or related disciplines.
- Master's Degree in Statistics, Business Administration or related disciplines is a plus.
- Certifications in Data Analytics & Data Science is a plus.
- Must have 1+ years of experience working on ML algorithms and related products.
- Must have 1+ years of experience working with relational databases (Oracle), query authoring (SQL).
- Experience in Business Intelligence tools like Qlik Sense, Tableau, Power BI is a plus.
- Experience on creating the Dashboards, Scorecards, Ad-hoc Reports.
- Strong Knowledge in ERP (Oracle EBS: Projects, AR, AP Modules)
**Why CDM Smith?:**
Check out this video and find out why our team loves to work here!
Join Us! CDM Smith - where amazing career journeys unfold.
Imagine a place committed to offering an unmatched employee experience. Where you work on projects that are meaningful to you. Where you play an active part in shaping your career journey. Where your co-workers are invested in you and your success. Where you are encouraged and supported to do your very best and given the tools and resources to do so. Where it's a priority that the company takes good care of you and your family.
Our employees are the heart of our company. As an employer of choice, our goal is to provide a challenging, progressive and inclusive work environment which fosters personal leadership, career growth and development for every employee. We value passionate individuals who challenge the norm, deliver world-class solutions and bring diverse perspectives. Join our team, and together we will make a difference and change the world.
**Job Site Location:**
India - Bangalore
**Agency Disclaimer:**
All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Recruitment Center Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith and any resume submitted to any employee outside of CDM Smith Recruiting Center Team (RCT) will be considered property of CDM Smith. CDM Smith will not be held liable to pay a placement fee.
**Amount of Travel Required:**
0%
**Assignment Category:**
Fulltime-Regular
**Background Check and Drug Testing Information:**
CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as "CDM Smith") reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing.

**Introduction**
As a data science specialist at IBM, you'll get to work on the systems that are driving the quantum revolution and the AI era. Join an elite team of engineering professionals who enable IBM customers to make better decisions quicker on the most trusted hardware platform in today's market.
**Your role and responsibilities**
We are seeking highly motivated Data science engineer to be part of Hardware team. Join a great team of engineering professionals who are involved in data analysis for IBM's chip design team.
**Required technical and professional expertise**
* Strong foundation in probability, statistics, hypothesis testing, and experimental design.
* Hands-on experience in creating plots and charts to find out insights, patterns, trends and outliers .
* Proficiency in Python and libraries like Pandas, NumPy, SciPy, scikit-learn, and matplotlib/plotly.
*
Hnads - on experience in SQL, Statistics, Plotting (python or tools like tableau, powerBI), ML * Experience in collaborating with design and reliability hardware teams.
* Knowledge of SQL to query large volume of wafer/chip level data and ability to manage large-scale structured/unstructured datasets.
* Experience in building data pipelines and dashboards for monitoring of test results and performance metrics and communicate findings through clear visualizations, reports, and presentations .
* Demonstated understanding to connect data insights to yield, defects, and performance factors
* Knowledge of Machine leaning for yield prediction, defect detection, and performance correlation and yied improevement
* Proficient analytical skills for problem-solving
* Excellent team player and good communication skills
**Preferred technical and professional experience**
Knowledge in VLSI domain and concepts is an advantage
Understand of basic concepts in semiconductor industry and hardware test data analysis.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**About the Role:**
The ideal candidate should have a solid background in **backend development, AI/ML orchestration, and data management** , with hands-on experience in **Generative AI and Agentic AI frameworks** . They will be responsible for **building REST APIs** , managing **data pipelines** , and implementing **AI/ML solutions** such as **retrieval-augmented generation (RAG)** , **intent detection models** , and **autonomous AI agents** to deliver intelligent, production-ready solutions.
**Key Responsibilities:**
· **Backend Development** : Design, develop, and maintain REST APIs using Python to integrate AI/ML services.
· **Agentic AI Development** : Design and orchestrate **AI agents** capable of reasoning, planning, and executing multi-step tasks by integrating LLMs with APIs, tools, and data sources.
· **AI/ML Orchestration** : Implement and manage machine learning models, large language models (LLMs), Agentic AI workflows and AI orchestration using Python.
· **Generative AI Solutions** : Using Generative AI models for tasks like text generation, summarization, conversational AI, and content creation.
· **Data Management** : Work with structured databases (SQL), graph databases (e.g., CosmosDB), and unstructured data stores (e.g., Elasticsearch).
· **RAG Implementation** : Build retrieval-augmented generation (RAG) pipelines leveraging Azure AI Search, AWS OpenSearch, or other vector databases for contextual responses.
· **Data Pipelines** : Design and manage robust data ingestion and transformation pipelines to feed AI models.
· **Intent Detection & NLU** : Develop or integrate intent detection models and natural language understanding (NLU) solutions to enhance conversational AI.
· **Prompt Engineering & Optimization** : Create and optimize prompts for LLMs to improve response quality and reduce latency.
· **AI Integration** : Collaborate with frontend and product teams to embed Gen AI features into enterprise applications.
**Required Skills:**
· **Backend Development** : Proficient in Python for building and maintaining scalable REST APIs, familiarity with integrating AI services.
· **AI/ML Orchestration** : Strong expertise in Python with a focus on machine learning, large language models (LLMs), AI orchestration.
· **Agentic AI Expertise:** Experience in building **autonomous AI agents** using frameworks like OpenAI Functions, or custom orchestration solutions to handle tool use and multi-step reasoning.
· **Generative AI Expertise** : Generative AI models (text generation, summarization, conversational AI) and applying prompt engineering techniques.
· **Data Management** : Solid understanding of structured (SQL), graph (CosmosDB), and unstructured (Elasticsearch) databases; ability to design efficient data access patterns for AI workloads.
· **RAG Implementation** : Proven experience implementing retrieval-augmented generation using Azure AI Search, AWS OpenSearch, or other vector databases.
· **Data Pipelines** : Hands-on experience building and managing data ingestion and transformation pipelines using Databricks, Azure Data Factory, or equivalent tools.
· **Intent Detection & NLU** : Skilled in developing or deploying intent detection models and natural language understanding (NLU) components for conversational AI applications.
**Preferred Skills:**
· Familiarity with cloud platforms such as Azure and AWS.
· Knowledge of additional AI/ML frameworks and tools.
· Knowledge of Agentic AI
· Experience with DevOps practices and CI/CD pipelines.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

As a **Sr Data Science Supervisor** here at Honeywell, you will lead a team of data scientists to drive innovative data solutions that enhance decision-making and operational efficiency across the organization. Your leadership will be crucial in fostering a culture of excellence and collaboration while overseeing the development and implementation of advanced analytics projects.
You will report directly to our Sr. Data Engineering Manager, and you'll work out of our Bengaluru, India location on a Hybrid work schedule.
In this role, you will impact the organization by guiding your team in leveraging data science techniques to solve complex business challenges, optimize processes, and deliver actionable insights that align with corporate objectives.
**Your Day-to-Day**
+ **Lead Data Science Projects** : Architect large-scale data science initiatives-Collaborate with DE team for building ETL pipelines and deploying advanced analytics models and algorithms.
+ **Shape the Strategy** : Define and execute the data science roadmap, ensuring our analytics capabilities stay ahead of the curve.
+ **Be a Mentor** : Guide and support a team of data scientists, setting technical direction and sharing your expertise.
+ **Partner with Stakeholders** : Work closely with business leaders to align analytics efforts with strategic goals.
+ **Prioritize What Matters** : Manage the data science backlog and ensure the team is focused on the highest-impact work.
+ **Drive Innovation** : Explore and apply new technologies-like LLMs and GenAI-to push the boundaries of what's possible.
**Required Qualifications**
+ Bachelor of Engineering or master's degree in data science, Computer Science, Statistics, Mathematics, or a related field.
+ 10-12+ years of overall experience and 8+ years of relevant experience in data science or advanced analytics roles at least 2 years in a supervisory or leadership role.
+ Proven track record of delivering production-grade models and analytics solutions.
+ Strong programming skills in **Python** , **SQL** , and **PySpark** .
+ Experience with cloud platforms (Azure, AWS, GCP) and collaborative environments like **Databricks** .
+ Familiarity with MLOps tools and practices (MLflow, CI/CD pipelines, model monitoring).
**Preferred Skills**
+ Expertise in **Generative AI (GenAI)** and **Large Language Models (LLMs)** , including frameworks like Hugging Face, LangChain, and OpenAI APIs.
+ Experience with deep learning (TensorFlow, PyTorch) and NLP techniques.
+ Strategic thinking and the ability to align data science initiatives with business objectives.
+ Ability to design optimal **Databricks job clusters** and apply **performance tuning** for scalable analytics workflows.
+ Excellent communication and stakeholder management skills.
+ Ability to lead without direct reports-driving influence through technical excellence and collaboration.
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.