data science manager

Flipkart

<div>
 
 
 
 Research Manager &ndash; Machine Learning (RESEARCH SCIENCES)
 
 
 
 
 
 
 
 
 About Data Sciences Group at Flipkart:
 
 
 
 The Data Sciences team at Flipkart is on a mission to build systemic intelligence across Flipkart products and the overarching ecosystem. Being India&rsquo;s largest online marketplace and the most used e-commerce app in India, places Flipkart in a unique vantage position and gives this team a distinctive opportunity &mdash; to decipher the richest possible data about Indian consumers. Add the dimension of a vast product selection and a proliferating seller base to that and what you get is a multitude of disruptive possibilities.
 
 
 In a nutshell, the terabytes of daily data compounded in Flipkart&rsquo;s data centers offer a dynamic mix of numerical, structured, unstructured, image- and audio-based statistics, all set to define shopping in the future.
 
 
 
 
 
 
 What this job entails:
 
 
 
 As a leader in the space of Data Science, you will lead a team of highly qualified professionals, within the context of a functional unit, with expertise in areas of Machine Learning &amp; Artificial Intelligence. Your team will comprise of Data Scientists. Your primary responsibility will be to strategize and guide the application of data sciences, and leverage data capabilities to drive Flipkart&rsquo;s Business Value Proposition. In simpler terms, you will help build intelligence across Flipkart products. In this role, you will:
 
 <ul>
 <li>
 Closely work with the Data Science team to formulate data-led solutions and models
 </li>
 <li>
 Use advanced Machine Learning techniques to enable key business goals
 </li>
 <li>
 Be a strong proponent of the customer and the business, with the capability to drive efficiency and productivity, and enable automation across the spectrum
 </li>
 <li>
 Should have thorough understanding of key AI and ML techniques &mdash; If not all &mdash; spanning Predictive Modelling, NLP, Text Mining, Classification, Regression, Deep Learning, etc.
 </li>
 </ul>
 
 
 
 
 
 Key Roles &amp; Responsibilities:
 
 
 
 The Flipkart Data Science team applies capabilities across numerous business problem statements within the e-commerce ecosystem. The application extends across Customer Experience, Supply-Chain, Engineering, Cataloguing and other critical scenarios, with solutions designed around discovery, personalization, intent modelling, demand shaping and planning, insights, sentiment prediction, response matching, fulfilment automation, last-mile optimization, fraud modelling and search&mdash;all of which just form the tip of the iceberg. In this role, you will be responsible to:
 
 <ul>
 <li>
 Help the Data Science team of the functional unit to formulate and architect future AI / ML models for Flipkart Products
 </li>
 <li>
 Guide teams through decisions around applying Data Science and Data Modelling techniques to drive innovation, efficiency productivity and automation within Flipkart&rsquo;s ecosystem
 </li>
 <li>
 Ensure timely deployment of models in a high-pace business, large-scale production environment
 </li>
 <li>
 Coach the Data Science team on various challenges and trade-offs in developing models that can accurately employ real data
 </li>
 <li>
 Build deep partnerships with business, product management, and technology leaders
 </li>
 <li>
 Lead, hire, manage and mentor a team of highly qualified Data Scientist, Data Engineers, Software Engineers ML and Research Scientists
 </li>
 <li>
 Help develop systems-driven framework for tracking the quality, consistency, applicability and performance of data inputs and outcomes
 </li>
 <li>
 Build and leverage tools that allow for democratization and easy consumption and analysis of data across the organization.
 </li>
 </ul>
 
 
 
 
 
 Our Associations &amp; Collaborations:
 
 
 
 Associations and collaborations: The Flipkart Data Science team is also leveraging partnerships with Indian and foreign universities &mdash; like CMU, IIT's, IISc and IIIT&rsquo;s &mdash; for developing class-leading solutions in the e-commerce sector.
 
 
 At Flipkart, the work of a Data Scientist involves collaboration with the engineering and product teams to ensure a holistic outcome at the product delivery. The flat functional structure within Flipkart engineering enables data scientists to focus on excellence and create a deep sense of ownership at every stage of work.
 
 
 
 
 
 
 Basic Qualification:
 
 
 
 Education Qualification: B.Tech / M.Tech in CS/ML/AI Statistics with demonstrable experience through publications / deployed solutions / projects.
 
 
 Should have formally managed small/large teams of DS, data Engineers with DS capabilities for at least 2-4 Yrs.
 
 
 Strong technical skills in machine learning/AI, including optimization, simulation, regression techniques, neural networks, decision trees, cluster analysis, pattern recognition, probability theory, stochastic systems, Bayesian inference, and statistical techniques.
 
 
 
</div>

Data Science Manager

The Family Office Company BSC (c)

<div>
 
 Job Summary
 
 
 
 We are seeking a
 
 Data Science Manager &amp; Head of Recommendations and Personalization
 
 to lead the development of intelligent, data-driven client experiences across our digital platforms. You will spearhead the design and implementation of machine learning models for personalized investment recommendations, content targeting, and client engagement optimization.
 
 
 This is a high-impact role for a strategic data leader who thrives in a fast-paced environment and has experience building and scaling personalization systems&mdash;ideally in fintech, digital wealth, or consumer platforms.
 
 
 
 Key Responsibilities:
 
 
 
 
 
 Strategy &amp; Leadership
 
 
 
 
 <ul>
 <li>
 Define the personalization and recommendation strategy aligned with business goals and client experience vision.
 </li>
 <li>
 Lead, mentor, and grow a team of data scientists and machine learning engineers.
 </li>
 <li>
 Collaborate cross-functionally with product, marketing, engineering, and commercial teams to embed data-driven personalization across all client touchpoints.
 
 
 </li>
 </ul>
 
 
 Data Science &amp; Modeling
 
 
 
 
 <ul>
 <li>
 Design, build, and deploy ML/AI models for:
 </li>
 <ul>
 <li>
 Personalized investment recommendations
 </li>
 <li>
 Smart content curation
 </li>
 <li>
 Behavioral and predictive analytics
 </li>
 <li>
 Funnel optimization and conversion predictions
 </li>
 </ul>
 <li>
 Drive experimentation and continuous model performance improvement using A/B testing and data validation techniques.
 </li>
 <li>
 Ensure model explainability, fairness, and compliance with relevant data privacy regulations.
 </li>
 </ul>
 
 
 Personalization Infrastructure
 
 
 
 
 <ul>
 <li>
 Architect and oversee the personalization engine powering mobile, web, and CRM systems.
 </li>
 <li>
 Implement real-time data processing pipelines for adaptive personalization.
 </li>
 <li>
 Collaborate with data engineering to ensure scalable, high-quality data infrastructure and feature pipelines.
 
 
 </li>
 </ul>
 
 
 Client-Centric Data Insights
 
 
 
 
 <ul>
 <li>
 Translate data into actionable insights to inform client segmentation, lifecycle management, and journey personalization.
 </li>
 <li>
 Develop dashboards and KPIs to measure impact of personalization initiatives on user engagement and business outcomes.
 
 
 </li>
 </ul>
 
 Key Attributes &amp; Competencies
 
 
 
 <ul>
 <li>
 Strong product sense with a deep understanding of client behavior in digital financial services.
 </li>
 <li>
 A passion for using data to improve lives and decision-making for HNW individuals.
 </li>
 <li>
 Strategic and hands-on: able to drive vision and execute technical implementation.
 </li>
 <li>
 Collaborative leadership and stakeholder communication skills.
 </li>
 <li>
 Highly analytical with strong attention to detail and data integrity.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in Data Science, Machine Learning, Computer Science, or related field.
 </li>
 <li>
 6+ years of experience in applied data science, with 2+ years in a leadership or managerial role.
 </li>
 <li>
 Proven experience developing personalization and recommendation systems at scale.
 </li>
 <li>
 Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Experience with data platforms such as Databricks, AWS/GCP/Azure, and real-time data systems (e.g., Kafka).
 </li>
 <li>
 Background in fintech, wealth management, or e-commerce personalization is a strong plus
 </li>
 </ul>
</div>

NielsenIQ

<div>Company Description 
The #NielsenIQ technology teams are working on building a unified, global, open data ecosystem powered by Microsoft Azure. Our clients around the world rely on #NielsenIQ data and insights to innovate and grow. We are looking for an experienced Microsoft.Net expert to be part of our Technology hub in India to build, maintain and transform our factory systems, which are critical to the business 
Job Description 
Our Media Measurement team uses state-of-the-art technologies and rigorous methods to track who is watching what, where, and how they engage with content. Our clients can evaluate who is consuming which content across different media, platforms and devices, and know what the audience thinks about that content. As people consume media content on more channels, and through more devices, than ever before, we are proud to provide a full view on media consumption.
We are looking for a passionate and talented Data Science Manager to join our growing team. In this role, you will have the chance to roll up your sleeves and apply data science methods and analytics to sustain our growth. Successful candidates are intellectually curious builders and active learners who are biased toward action and new problem solving.
As a Data Science Manager you will have following key accountabilities:<ul><li>
Team Leadership: Build and lead a high-performing team of 6-8 Data Scientists and Machine Learning Engineers in our Pune hub. Foster a collaborative and inclusive team culture that encourages innovation and continuous learning.</li><li>
Business Understanding: Utilize your solid business understanding to align with stakeholders, discuss requirements and feasibility, and manage expectations effectively. Ensure clear communication and understanding of project goals and outcomes.</li><li>
Technical Communication: Explain Data Science principles, concepts, algorithms, and approaches in simple terms to diverse audiences, including non-technical stakeholders.</li><li>
Active Contribution: Drive ML/AI solutions throughout the full life cycle, from brainstorming and conceptual design to implementation, productization, and maintenance. Ensure timely delivery and high-quality outcomes.</li><li>
Innovation and Improvement: Continuously improve methods and tools. Foster knowledge exchange within the team and the broader organization. Represent our Data Science expertise at conferences, workshops, and industry events.</li><li>
Cross-functional Collaboration: Collaborate with teams across Tech, Operations, Commercial, and Product to understand domain-specific requirements and deliver impactful data-driven solutions.</li></ul>
Qualifications
ow you know what a Data Scientist does. What skills, qualifications &amp; experience do you need for this job? 
Qualifications 
Key Qualifications<ul><li>
Educational Background: PhD or Master&rsquo;s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, with 8+ years of experience as a Data Scientist.</li><li>
Leadership Experience: Proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams.</li><li>
Communication Skills:</li><li>
Ability to effectively communicate complex methodologies and technologies to both technical and non-technical audiences.</li></ul><ul><li>
Strong problem-solving skills and an independent working style.</li><li>
Technical Expertise: Strong statistical and machine learning modeling skills, including statistical tests, classification, predictive modeling, handling of missing data, and sampling/weighting techniques.</li><li>
Solid in analytical programming languages such as Python or R, along with their respective ecosystems.</li><li>
Hands-on experience implementing these models in production systems.</li><li>
Proficient in software development skills, including unit testing, CI/CD, and version control with Git, along with familiarity with computer science and engineering fundamentals such as data structures, software design principles, and testing strategies.</li></ul>
Preferred qualifications<ul><li>
Experience in the Media industry</li><li>
Experience working with cloud-based data services (AWS, Azure, or GCP)</li><li>
Experience with Optimization techniques such as: linear programming, integer programming, genetic algorithms, constrained optimization is a plus</li></ul> 
Additional Information 
<ul><li>
Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms.</li><li>
Recharge and revitalize with help of wellness plans made for you and your family.</li><li>
Plan your future with financial wellness tools.</li><li>
Stay relevant and upskill yourself with career development opportunities</li></ul><div></div>
Our Benefits<ul><li>
Flexible working environment</li><li>
Volunteer time off</li><li>
LinkedIn Learning</li><li>
Employee-Assistance-Program (EAP)</li></ul>

About NIQ
NIQ is the world&rsquo;s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights&mdash;delivered with advanced analytics through state-of-the-art platforms&mdash;NIQ delivers the Full View&trade;. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world&rsquo;s population.
For more information, visit NIQ.com
Want to keep up with our latest updates?
Follow us on: LinkedIn | Instagram | Twitter | Facebook

Our commitment to Diversity, Equity, and Inclusion
At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion</div>

Udemy

<div>
 
 Join Udemy. Help
 
 
 define
 
 
 the future of learning.
 
 
 
 Udemy is an AI-powered skills acceleration platform built to help people and teams grow. It&rsquo;s personalized, practical, and focused on real-world impact.
 
 
 Our mission is simple: to transform lives through learning. Your work helps people around the world build skills they can use, whether they&rsquo;re picking up something new or leveling up to stay ahead.
 
 
 Over 80 million learners and 17,000 businesses already learn with Udemy. If you&rsquo;re excited by change, energized by learning, and ready to have a real impact, you&rsquo;ll feel right at home.
 
 
 
 Learn More About Us On Our Company Page.
 
 
 
 
 
 Where we work
 
 
 
 
 Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and T&uuml;rkiye.
 
 This is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays
 
 .
 
 
 
 About Your Skills
 
 
 
 <ul>
 <li>
 Continuous Learning and Growth: Being able to follow up on all the progress in the AI and ML field, translating them into strategic capabilities for you and your teams is critical for this role. Truly understanding what these algorithms are capable of and making sure you set your team for success.
 </li>
 <li>
 Leadership: You design and build an environment that balances outcomes and innovation, while keeping a collaborative yet competitive team culture. You lead with humility and clarity. You build an environment where individuals feel supported, heard, and proud of what they build together. You understand how to motivate and empower your team to do their best work.
 </li>
 <li>
 Data Driven: You rely on data driven processes to make sure what the team is building is delivering the intended value. Fueled by an iterative process of A/B experiments and learning, you provide a clear process that balances big bets and iterative improvements leading to measurable outcomes.
 </li>
 <li>
 Decision Making: You are able to gather and communicate effectively all data, cross functional partner inputs, company direction to facilitate effective brainstorming sessions, help the team to set direction and progress confidently.
 </li>
 <li>
 Effective Communication: You explain the complex domain of ML/AI Algorithms with intuitive and focused simplicity, while clearly communicating limitations and opportunities effectively.
 
 
 </li>
 </ul>
 
 About This Role
 
 
 
 As a Data Scientist manager in the Catalog Search team, you will be responsible for managing a team of data scientists building AI/ML driven algorithms for the discovery of learning experiences with a primary focus on search. You will drive the strategy for the team to explore new strategies to use LLMs, semantic embedding models as well as learning engagement analysis of users (behavioral data) and incorporate these to turn to highly personalized learning opportunities for learners.
 
 
 
 
 What you&rsquo;ll be doing
 
 
 
 
 <ul>
 <li>
 Partner with product managers, data scientists, engineers and other stakeholders to build data products and set direction as well as drive the execution.
 </li>
 <li>
 Build and maintain a high performance team, by recruiting, hiring and planning career development of a team of data scientists/ML engineers
 </li>
 <li>
 Provide hands-on technical guidance and career mentorship for team members
 </li>
 <li>
 Maintain high-quality standards, effective communication processes, and best practices in engineering and data science
 </li>
 <li>
 Research or prototype solutions and contribute to the codebase as needed
 
 
 </li>
 </ul>
 
 
 What you&rsquo;ll have
 
 
 
 
 <ul>
 <li>
 8+ years of experience as a software engineer, researcher or data scientist
 </li>
 <li>
 3+ years of management experience of teams building data driven solutions.
 </li>
 <li>
 Appetite and relevant background for learning state-of-the-art AI based search solutions
 </li>
 <li>
 Strong communication skills both written and verbal
 </li>
 <li>
 Strong coding skills with SQL and 1+ programming language (e.g. Java, Python)
 </li>
 <li>
 Familiarity with agile practices (e.g., Scrum)
 </li>
 <li>
 Ability to communicate effectively with non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Preferred But Not Required
 
 
 
 <ul>
 <li>
 Hands on experience with Enterprise search systems (e.g. Elasticsearch, Solr).
 </li>
 <li>
 Experience with big data ecosystems such as Spark, Hadoop and Hive.
 </li>
 <li>
 Hands-on experience with training and fine-tuning semantic embeddings and/or LLMs.
 
 
 </li>
 </ul>
 application deadline 18 November 2025
 
 
 
 Why work here?
 
 
 
 
 You&rsquo;ll grow here.
 
 
 
 Learning is part of the job. You&rsquo;ll get full access to Udemy courses, a monthly UDay to invest in yourself, and a budget to spend on whatever helps you improve. Many people are diving into AI lately, but what you focus on is up to you.
 
 
 
 AI is real here.
 
 
 
 We use it in the way we learn and the way we work. You&rsquo;ll have the space and tools to experiment, apply, and get better at using AI in practical ways.
 
 
 
 You&rsquo;ll own your work.
 
 
 
 We trust people to lead, make decisions, and follow through. You don&rsquo;t need to wait for permission or layers of approval to have an impact.
 
 
 
 You&rsquo;ll Build With Others.
 
 
 
 We collaborate openly and shape ideas together. Everyone has a voice, and good thinking is welcomed from any direction.
 
 
 
 You&rsquo;ll see your impact.
 
 
 
 What you build helps people grow their skills, change their careers, or find a path forward. You&rsquo;ve got the experience, why not use it to help others gain theirs?
 
 
 
 Bring your curiosity. We&rsquo;ll bring the platform and the support. Let&rsquo;s
 
 LEARN
 
 together.
 
 
 
 
 Our Benefits Start With U
 
 
 
 Our benefits start with you and were built to provide you and your family with the protection and care you need, making it easy to access the right coverage when you need it most. Benefits vary by region, and we encourage applicants to review our Australia Benefits, India Benefits, Ireland Benefits, Mexico Benefits, Turkiye Benefits &amp; US Benefits, pages to get an understanding of some of the benefits we offer. For details on region-specific benefits, please refer to the information provided during the hiring process.
 
 
 
 Benefits outlined are provided as a general overview and may vary depending on the location, role, and employment classification. All benefits are subject to change at the discretion of the organization and in accordance with applicable laws and policies.
 
 
 
 
 At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We understand that not everyone will match each of the qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you!
 
 
 
 
 
 Information regarding data privacy is available within the Udemy Careers Privacy Notice.
 
 
</div>

Senior Data Science Manager

Nissan

<div><ul><li>Lead and mentor a high-performing data science team.</li><li>
Drive end-to-end ML and GenAI projects from ideation to deployment.</li><li>
Define and execute data strategies aligned with business objectives.</li><li>
Collaborate with engineering, product, and business teams.</li><li>
Ensure data integrity, governance, and scalable infrastructure.</li><li>
Implement and manage MLOps practices (CI/CD, monitoring, model retraining).</li><li>
Stay updated with advancements in AI, GenAI, and ML technologies.</li><li>
Proficient in Python, ML frameworks (TensorFlow, PyTorch), GenAI tools (e.g., LLMs), cloud platforms (AWS/GCP/Azure), and MLOps pipelines.</li></ul>
Trivandrum Kerala India</div>

Kyndryl

<div>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 &ndash; 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 &ndash; viewing them through the lens of business acumen, and converting this knowledge into a data problem. You&rsquo;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 &ndash; 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 &ndash; you&rsquo;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 &ndash; 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&rsquo;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
<div>Who You Are
 
You&rsquo;re good at what you do and possess the required experience to prove it. However, equally as important &ndash; you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused &ndash; someone who prioritizes customer success in their work. And finally, you&rsquo;re open and borderless &ndash; naturally inclusive in how you work with others.
 
 
Required Skills and Experience
 
 
<ul><li>12+ years in IT , Knowledge of modeling tools and programming languages, e.g., Azure ML, Vortex AI AutoML, SageMaker, or Python
</li><li>Excellent problem-solving, analytical, and critical thinking skills
</li><li>Communication and presentation skills, with the ability to convey complex data insights to both technical and non-technical audiences
</li><li>Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail
</li></ul> 
Preferred Skills and Experience
 
 
<ul><li>Degree in a quantitative discipline, such as mathematics, statistics, computer science, or mechanical engineering
</li><li>Professional certification, e.g., Open Certified Data Scientist
</li><li>Cloud platform certification, e.g., AWS Certified Machine Learning &ndash; Specialty, Google Cloud Professional Machine Learning Engineer, or Microsoft Certified: Azure Data Scientist Associate
</li><li>Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio
</li><li>Experience in at least one domain, e.g., cybersecurity, IT service management, financial services, or health care 
</li></ul></div> 
Being You
Diversity is a whole lot more than what we look like or where we come from, it&rsquo;s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we&rsquo;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 &ndash; and everyone next to you &ndash; the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That&rsquo;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 &ndash; 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 &lsquo;How Did You Hear About Us&rsquo; during the application process, select &lsquo;Employee Referral&rsquo; and enter your contact's Kyndryl email address.</div>

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years of work experience with a Master's degree).
 </li>
 <li>
 8 years of experience with data science and analytics in a technology or supply chain company.
 </li>
 <li>
 Experience in data model and data insight transformation.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
 </li>
 <li>
 4 years of experience as a people manager within a technical leadership role.
 </li>
 <li>
 Ability to synthesize multiple data points, points of view and analyses into actionable and meaningful insights.
 </li>
 <li>
 Interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
 
 
 The mission of Cloud Supply Chain Data (CSCD) Data Science and Product team is to build productivity and data products, develop AI/ML/statistical models and provide prescriptive insights to help CSCD define and achieve business goals. We help make Google Cloud supply chain and Data Centers by enabling data-informed decision making and product innovation.
 
 
 Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Manage Bangalore Center of Excellence for Cloud Supply Chain and Operations, Data Science and Product team.
 </li>
 <li>
 Lead a portfolio of programs in developing ML/Statistical models, conducting diagnostic analytics research, crafting prescriptive insights.
 </li>
 <li>
 Guide problem framing, metrics development, data extraction and manipulation, visualization, and story telling for the team.
 </li>
 <li>
 Provide thought leadership through proactive and strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business).
 </li>
 <li>
 Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and define operational goals and objectives.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Data Science Manager, Product, Cloud

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