lead data scientist

Straive

<div>
 
 
 About the Lead Data Scientist Job Role :
 
 
 
 You will help our clients solve real-world problems by tracing the data-to-insights lifecycle:
 
 <ul>
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 Understand business problems, making sense of the data landscape &amp; footprint, performing a combination of exploratory, Machine Learning &amp; Advanced Analytics
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 Create, experiment with, and deliver innovative solutions in a consultative mindset to client
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 stakeholders using textual data
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
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 Background in Computer Science/Computer Applications or any quantitative discipline (Statistics, Mathematics, Economics/Operations Research, etc.) from a reputed institute.
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 Total 7+ years of experience using analytical tools/languages like Python on large-scale data.
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 Must have Semantic model &amp; NER experience.
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 Experience working with pre-trained models, awareness of state-of-the-art in embeddings, and applicability for use cases.
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 Must have strong experience in NLP/NLG/NLU applications using popular Deep learning frameworks like PyTorch, Tensor Flow, BERT, Langchain, GPT (or similar models), and OpenCV.
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 Must have exposure to Gen AI models (LLMs) like Mistral, Falcon, Llama 2, GPT 3.5 &amp; 4, Prompt Engineering.
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 Experience using Azure services for ML &amp; GenAI projects is a plus.
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 Demonstrated ability to engage with client stakeholders.
 </li>
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 Deep knowledge of techniques such as Linear Regression, gradient descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, and Text Mining.
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 Strong understanding of integrating NLP models into business workflows. Prospects should be exposed to project initiation and business impact creation in at least one project.
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 Broad knowledge of fundamentals and state-of-the-art in NLP and machine learning.
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 Coding skills in one or more programming languages, such as Python and SQL.
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 Hands-on experience with popular ML frameworks such as TensorFlow.
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 Expert / high level of understanding of language semantic concepts &amp; data standardization.
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 </ul>
 
 
</div>

Lead Data Scientist

freshworks

<div>Company Description 
Organizations everywhere struggle under the crushing costs and complexities of &ldquo;solutions&rdquo; that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done.
There&rsquo;s another option. Freshworks. With a fresh vision for how the world works.
At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&amp;P Global, and Sony Music, trust Freshworks&rsquo; customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world.
Fresh vision. Real impact. Come build it with us. 
Job Description 
As a Lead Data Scientist with a focus on Generative Artificial Intelligence (GenAI), you will be at the forefront of pioneering innovative applications of data science and machine learning in employee engagement. You will lead efforts to leverage GenAI techniques to solve complex challenges, transitioning the next generation of IT services away from traditional dashboards and filters into an interactive, conversational experience backed by real-time streaming data analysis.
The Impact You Will Create
You will not just be building models; you will be reshaping how users interact with technology. Your work will directly result in:<ul><li>
Massive Scale: Building a state-of-the-art conversational servicebot designed to scale seamlessly across 1 million+ Monthly Active Users (MAU).</li><li>
Next-Gen User Experience: Serving real-time insights to customers through a cutting-edge conversational UI/UX that processes millions of streaming data points.</li><li>
Advanced Automation: Developing production-grade AI/ML solutions to solve complex Text2Action problems and analyzing time-series data to detect anomalous behavior instantly.</li></ul>
Roles &amp; Responsibilities<ul><li>
Strategic Collaboration: Partner closely with product and business teams to deeply understand challenges and opportunities within the GenAI landscape, ensuring data science initiatives align with core organizational objectives.</li><li>
Intelligent System Design: Conceptualize, experiment, and design intelligent systems powered by GenAI, applying your deep expertise in machine learning, statistics, and advanced mathematics.</li><li>
End-to-End ML Pipelines: Take full ownership of ML pipelines from start to finish, encompassing data pre-processing, model generation, cross-validation, and continuous feedback integration.</li><li>
ML/AI Architecture: Collaborate with ML Engineers to design highly scalable systems and model architectures that enable low-latency, real-time ML/AI services.</li><li>
Big Data Processing: Build and develop efficient systems capable of ingesting and processing vast volumes of streaming data.</li><li>
Metric Definition: Define and monitor key performance metrics that accurately reflect the tangible value delivered to end-users through our GenAI solutions.</li></ul> 

Qualifications 
Qualifications<ul><li>
Education: A Bachelor&rsquo;s degree or higher in Computer Science, Statistics, Mathematics, or a highly related quantitative field.</li><li>
Experience: A minimum of 7 years of relevant industry work experience.</li><li>
Production Deployment: A proven track record of successfully deploying ML projects into production systems, backed by substantial individual contributions.</li></ul>
Key Skills<ul><li>
Mathematical Foundations: Profound understanding of the math underpinning machine learning algorithms, including probability, statistics, linear algebra, calculus, and optimization.</li><li>
GenAI &amp; NLP: Hands-on experience with Natural Language Processing tasks utilizing prompt engineering, Large Language Models (LLMs), transformers, and knowledge graphs.</li><li>
Big Data &amp; Distributed Computing: Proficiency in large-scale computing and Big Data technologies, specifically distributed programming frameworks like Hadoop and Spark.</li><li>
Data Engineering: Strong proficiency with database systems and schema design, encompassing both SQL and NoSQL databases.</li><li>
Domain Expertise: A solid background in at least two of the following specialized areas:<ul><li>
Natural Language Processing (NLP)</li><li>
Statistical ML techniques</li><li>
Deep Learning</li><li>
Distributed Systems</li><li>
Graph algorithms</li><li>
Constraint optimization</li><li>
Signal processing (speech or vision)</li></ul></li><li>
Core Competencies: Exceptional problem-solving and programming skills.</li></ul>
If you are a forward-thinking data scientist with a passion for pushing the boundaries of GenAI and envision yourself driving the transformation of IT services through interactive, conversational experiences, we encourage you to apply and join our dynamic team! 
Additional Information<div></div> 
At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us.</div>

Lead - Data Scientist

Envision Employment Solutions

<div>Envision Employment Solutions is currently hiring a Lead Data Scientist for one of our partners, a global leader in IT Services and IT Consulting.
Job Summary:
We are seeking a visionary AI leader to drive enterprise-scale AI strategy, architecture, and delivery. This role requires deep expertise in large language models (LLMs), AI governance, and production-grade ML platforms, combined with strong leadership and executive communication capabilities.
The ideal candidate has extensive experience building and scaling enterprise AI ecosystems and leading multidisciplinary teams across complex environments.
Responsibilities:
Strategic AI Leadership<ul><li>
Define and drive AI roadmaps aligned with corporate strategy</li><li>
Oversee the full model lifecycle from research and experimentation to production deployment</li><li>
Ensure measurable ROI and business impact from AI initiatives</li></ul>
LLM &amp; NLP Architecture (Enterprise Level)<ul><li>
Design LLM ecosystems including RAG pipelines, orchestration layers, and fine-tuning strategies</li><li>
Lead domain-specific model fine-tuning and pretraining using proprietary datasets</li><li>
Integrate platforms such as Azure OpenAI, AWS Bedrock, Anthropic Claude, and Google Vertex AI</li><li>
Define governance, compliance, and security frameworks for LLM deployments</li><li>
Establish evaluation standards for hallucination rate, factual accuracy, bias, and toxicity</li></ul>
Infrastructure &amp; Governance<ul><li>
Own data governance policies and feature store strategy</li><li>
Lead model observability, monitoring, and drift management frameworks</li><li>
Partner with DevOps and Security to ensure scalability, resilience, and compliance</li></ul>
Team &amp; Stakeholder Leadership<ul><li>
Build and lead multidisciplinary AI teams including Data Scientists, ML Engineers, and Data Engineers</li><li>
Mentor senior scientists and define research best practices</li><li>
Communicate directly with executive leadership and non-technical stakeholders</li><li>
Evaluate AI vendors and technology partnerships</li></ul> 

Requirements 
Qualifications:<ul><li>
Master&rsquo;s or PhD in AI, Machine Learning, Computer Engineering, or Applied Math or a related field</li><li>
Minimum 7 years of overall professional experience</li><li>
At least 2+ years in AI/ML leadership roles</li><li>
Proven ability to build and scale enterprise-level AI/LLM platforms.</li></ul>
Leadership Competencies<ul><li>
Visionary mindset driving innovation across business units.</li><li>
Excellent executive communication and influence skills.</li><li>
Focused on measurable ROI, scalability, and ethical AI.</li><li>
Mentors senior scientists, defining best practices and research direction.</li></ul> 

Benefits 
Benefits &amp; Work Setup<ul><li>
Basic salary</li><li>
Social insurance</li><li>
Family Medical Insurance (AXA)</li><li>
Location: New Cairo</li><li>
Work Model: Hybrid &ndash; 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client&rsquo;s premises on a daily basis, depending on the project requirements.</li><li>
Working Hours: 9 AM to 6 PM</li><li>
Days Off: Fridays and Saturday</li></ul></div>

<div>Envision Employment Solutions is currently hiring a Lead Data Scientist for one of our partners, a global leader in IT Services and IT Consulting.
Job Summary:
We are seeking a visionary AI leader to drive enterprise-scale AI strategy, architecture, and delivery. This role requires deep expertise in large language models (LLMs), AI governance, and production-grade ML platforms, combined with strong leadership and executive communication capabilities.
The ideal candidate has extensive experience building and scaling enterprise AI ecosystems and leading multidisciplinary teams across complex environments.
Responsibilities:
Strategic AI Leadership<ul><li>
Define and drive AI roadmaps aligned with corporate strategy</li><li>
Oversee the full model lifecycle from research and experimentation to production deployment</li><li>
Ensure measurable ROI and business impact from AI initiatives</li></ul>
LLM &amp; NLP Architecture (Enterprise Level)<ul><li>
Design LLM ecosystems including RAG pipelines, orchestration layers, and fine-tuning strategies</li><li>
Lead domain-specific model fine-tuning and pretraining using proprietary datasets</li><li>
Integrate platforms such as Azure OpenAI, AWS Bedrock, Anthropic Claude, and Google Vertex AI</li><li>
Define governance, compliance, and security frameworks for LLM deployments</li><li>
Establish evaluation standards for hallucination rate, factual accuracy, bias, and toxicity</li></ul>
Infrastructure &amp; Governance<ul><li>
Own data governance policies and feature store strategy</li><li>
Lead model observability, monitoring, and drift management frameworks</li><li>
Partner with DevOps and Security to ensure scalability, resilience, and compliance</li></ul>
Team &amp; Stakeholder Leadership<ul><li>
Build and lead multidisciplinary AI teams including Data Scientists, ML Engineers, and Data Engineers</li><li>
Mentor senior scientists and define research best practices</li><li>
Communicate directly with executive leadership and non-technical stakeholders</li><li>
Evaluate AI vendors and technology partnerships</li></ul> 

Requirements 
Qualifications:<ul><li>
Master&rsquo;s or PhD in AI, Machine Learning, Computer Engineering, or Applied Math or a related field</li><li>
Minimum 7 years of overall professional experience</li><li>
At least 2+ years in AI/ML leadership roles</li><li>
Proven ability to build and scale enterprise-level AI/LLM platforms.</li></ul>
Leadership Competencies<ul><li>
Visionary mindset driving innovation across business units.</li><li>
Excellent executive communication and influence skills.</li><li>
Focused on measurable ROI, scalability, and ethical AI.</li><li>
Mentors senior scientists, defining best practices and research direction.</li></ul> 

Benefits 
Benefits &amp; Work Setup<ul><li>
Basic salary</li><li>
Family Medical Insurance</li><li>
Round-trip family flight tickets once per year</li><li>
Visa coverage</li><li>
Location: Dubai</li><li>
Work Model: Hybrid &ndash; 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client&rsquo;s premises on a daily basis, depending on the project requirements.</li><li>
Working Hours: 9 AM to 6 PM</li><li>
Days Off: Saturdays and Sundays</li></ul></div>

Caterpillar

<div>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 &ndash; 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 &ndash; 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.
The Cybersecurity GRC &ndash; Technology &amp; Analytics team of Caterpillar IT is seeking a Lead Data Scientist to be a technical expert, working in a team environment, to support the development, integration &amp; enhancement for Caterpillar in Advanced Analytics and GenAI initiatives for the Technology &amp; Analytics team.
Significant responsibilities of this position are working with people; enhancing the team&rsquo;s creativity; maintaining knowledge of approaches used in similar projects; and pushing the technical bounds of experimentation while meeting customer commitments. The Lead Data Scientist acts as a technical leader for establishing and maintaining a sound analytic approach for solving the problem at hand. This individual will develop good networks within the technical community to enable them to collaborate on technical solutions, obtain resources and cooperation needed, and remove roadblocks so that they can ensure the success of their team.
What You Will Do:
Key areas of accountability include participating in the design and development of Data and Analytic Solutions including GenAI as part of Strategic Cybersecurity projects and programs; providing input into technology roadmaps and application evolution plans; acting as a researcher and evaluator of new technology, information, or integration standards. The Lead Data Scientist reports to an Analytics Supervisor and bears primary responsibility for solving the business problem presented through applied analytics and directing the team technically. Individual work will primarily be directed by Manager and Stakeholders in terms of business requirements and needs.<ul><li>
Conduct Data Discovery, data preparation and data processing for business intelligence and ML / AI Models.</li><li>
Exploring, promoting, and implementing semantic data capabilities through data analytics and machine learning techniques.</li><li>
Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.</li><li>
Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.</li><li>
Plan technical deliverables and definition of done for each sprint for the Jr. Data Engineers</li><li>
Communicate and Present the Technical Deliverables to stakeholders and business in an easy-to-understand way.</li><li>
Demonstrate a breadth of knowledge in the application statistical methods and/or digital methods to solve business problems</li><li>
Develop, validate, train and implement statistical models, and implement digital solutions</li><li>
Participate on 3-4 projects/products concurrently</li><li>
Demonstrate strong initiative to research and apply new methods to exceed customer expectations.</li><li>
Have a strong focus on continual learning in the Analytics field</li><li>
Possess thorough statistical and/or digital technology knowledge and the ability to solve low to medium complexity problems.</li><li>
Have very good communication skills, being able to explain conclusions to customers with limited knowledge and experience with quantitative analytical methods.</li></ul>
What You Have:<ul><li>
Business Statistics: Extensive experience with 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.</li><li>
Machine Learning / AI: Extensive knowledge of principles, technologies and algorithms of machine learning</li><li>
Programming Languages: Extensive knowledge in the application of Python programming to solve business challenges; ability to use tools, techniques and platforms in order to write and modify programming languages.</li><li>
Database Management and Consumption: Extensive knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.</li><li>
Data Analysis: Posses the ability to conduct thorough data analysis and produce data mapping documents per the business requirements; extensive capabilities in SQL, data modeling, and understanding of data processing including ETL / ELT</li><li>
Requirements Analysis: Working 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.</li></ul>
Top Candidates Will Have:<ul><li>
Typically Master&rsquo;s degree in Applied Statistics, Data Science, Business Analytics, Business Intelligence &amp; Analytics, Mathematics, Computer Science, Computer Science, Engineering, Informatics, Information Systems Management, Mathematics, MBA with Technical Undergrad, Predictive Analytics, Statistics, or equivalent technical degree.</li><li>
Extensive experience applying Python (NumPy, SciPy, pandas, etc) programming to solve business challenges.</li><li>
Extensive experience (typically 8 years+) with advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc.</li><li>
Extensive experience in practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks.</li><li>
Advanced experience in quantifying the costs, benefits, risks and chances for success before recommending a course of action.</li><li>
In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field</li><li>
Extensive 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.</li><li>
Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc)</li><li>
Extensive experience with Snowflake and SQL</li><li>
Advanced experience in DevOPs and ML-OPs</li><li>
Extensive experience with the necessity and value of accuracy; ability to complete tasks with high levels of precision.</li><li>
Good understanding of Agile Best Practices to work with Project Manager and Team to Plan, Effort Estimation, Check Quality, Document and Deliver on time with help of team.</li><li>
Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively; Presenting technical work in small or large setting of Stakeholders and Leaders.</li><li>
Experience with GenAI is plus</li></ul>
Additional Info:<ul><li>
The ideal location for this role is East Peoria-IL, Irving-TX, Nashville-TN</li><li>
This position may require 20% travel.</li></ul>
About Caterpillar &ndash;
For more than a century, Caterpillar has helped build a better, more sustainable world. With 2025 sales and revenues of $67.6 billion, Caterpillar Inc. is shaping the future as the world&rsquo;s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. Backed by one of the largest independent global dealer networks and financing services through Cat Financial, the company&rsquo;s primary business segments: Power &amp; Energy, Construction Industries and Resource Industries are solving customers&rsquo; toughest challenges through commercial excellence and advanced technology, driven by a highly skilled, dedicated global team. Learn more at www.caterpillar.com.
Summary Pay Range:
$128,470.00 - $208,770.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.<ul><li>
Medical, dental, and vision benefits*</li><li>
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*</li><li>
401(k) savings plans*</li><li>
Health Savings Account (HSA)*</li><li>
Flexible Spending Accounts (FSAs)*</li><li>
Health Lifestyle Programs*</li><li>
Employee Assistance Program*</li><li>
Voluntary Benefits and Employee Discounts*</li><li>
Career Development*</li><li>
Incentive bonus*</li><li>
Disability benefits</li><li>
Life Insurance</li><li>
Parental leave</li><li>
Adoption benefits</li><li>
Tuition Reimbursement</li></ul>
<ul><li>These benefits also apply to part-time employees</li></ul>
This position requires working onsite five days a week.
Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at www.caterpillar.com/careers.
Posting Dates:
February 26, 2026 - March 8, 2026
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.</div>

Ameriprise Financial

<div>The Group Lead &ndash; Data Scientist will be responsible for driving data informed decision making across marketing initiatives by leading a team of analysts and overseeing analytical strategy, operational excellence, and impactful delivery. This role requires a mix of technical expertise, people leadership, strategic thinking, and strong business acumen. 
We are looking for a proactive, collaborative leader who can inspire a team, establish best practices, and ensure the consistent delivery of high quality insights. The ideal candidate brings deep analytical experience, strong communication skills, and the ability to translate complex findings into actionable recommendations for business stakeholders.
Responsibilities<ul><li>Partner with senior business stakeholders to define analytical priorities, refine data requirements, and ensure the team delivers actionable insights that deepen understanding of consumer behavior and drive strategic decisions.</li><li>Oversee and guide the execution of complex ad‑hoc analyses, ensuring analytical rigor, clarity of insights, and timely delivery across multiple simultaneous requests.</li><li>Provide strategic direction for the development of predictive models, ensuring they support key business objectives and are implemented with high-quality standards and stakeholder alignment.</li><li>Lead the design, development, and governance of reporting solutions, including dashboards, program tracking reports, model monitoring frameworks, and other analytics deliverables that support operational and strategic needs.</li><li>Review and elevate the team's analytical outputs, ensuring findings are translated into clear, actionable business recommendations and communicated effectively to technical and non‑technical audiences.</li><li>Collaborate closely with US and global counterparts to align analytical solutions with business readiness, requirements, and cross‑market expectations.</li><li>Prioritize and manage analytics demand in a complex, matrixed environment, ensuring optimal resource allocation and proactive management of stakeholder expectations.</li><li>Drive strong documentation and communication practices, ensuring clarity, transparency, reproducibility, and smooth collaboration across internal and external teams.</li><li>Uphold and enforce high quality standards across all analytics deliverables, fostering best practices in data integrity, methodology, and analytical excellence.</li></ul> 
Required Qualifications<ul><li>Engineering Degree (BE/ BTECH) or Master Degree in Economics / Mathematics / Operation Research or PG in Data Science/ML from a reputed institute</li><li>8+ years of experience in analytics</li><li>Strong Python or R programming and data manipulation skills using SQL</li><li>Strong quantitative/analytical/programming and problem-solving skills</li><li>Knowledge of Data visualization tools like Power BI or Tableau</li><li>Excellent knowledge of MS Excel, Power point and Word</li><li>Highly motivated self-starter with excellent verbal and written communication skills</li><li>Ability to work effectively in a team environment on multiple projects and drive results through direct and in-direct influence</li></ul> 
Preferred Skills<ul><li>Hands-on experience with Dataiku/AWS tools (e.g., Sage Maker Studio, Athena)</li><li>Experience in predictive modeling / machine learning</li></ul>
Experience working in Agile environments and cross-functional teams
About Our Company 
Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years. We are a U.S. based financial planning company headquartered in Minneapolis with a global presence. The firm&rsquo;s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions and work with other talented individuals who share your passion for doing great work. You&rsquo;ll also have plenty of opportunities to make your mark at the office and a difference in your community. So if you're talented, driven and want to work for a strong ethical company that cares, take the next step and create a career at Ameriprise India LLP.
Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law.<div><div><div><div><div><div><div>
Full-Time/Part-Time</div></div></div></div></div></div></div>
Full time<div><div><div><div><div><div><div>
Timings</div></div></div></div></div></div></div>
(2:00p-10:30p)<div><div><div><div><div><div><div>
India Business Unit</div></div></div></div></div></div></div>
AWMPO AWMP&amp;S President's Office<div><div><div><div><div><div><div>
Job Family Group</div></div></div></div></div></div></div>
Data</div>

Group Lead - Data Scientist

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