data science team lead

Dentsu

<div>The purpose of this role is to lead and manage customer analysis deep dives, execute the strategies outlined by senior leadership, and manage the day-to-day communication with clients.<div></div><div>
Job Description:</div><div>
Key responsibilities:<br>
Integrates disparate datasets, conducts data preparation for analyses<br>
Manages and mentors a team of analysts, contributing to their technical and career development<br>
Applies data science methods to provide insights and recommendations to clients<br>
Maintains knowledge of new trends in the data science industry<br>
Independently manages data science projects and delivery to clients<br>
Develops and manages code used for analytics purposes<br>
Communicates findings and insights</div><div></div><div>
Location:</div>
DGS India - Bengaluru - Manyata N1 Block<div></div><div>
Brand:</div>
Merkle<div></div><div>
Time Type:</div>
Full time<div></div><div>
Contract Type:</div>
Permanent</div>

Lead Analyst

Microsoft

<div></div><div><h1 class="jobSectionHeader"><b>Principal Data Science Manager</b></h1><div><div><p>
Redmond, Washington, United States</p></div></div><p></p><div><div><div><div><br>
Date posted</div><div><b>
Oct 25, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1902147</b></div></div></div><div><div><div>
Work site</div><div><b>
3 days / week in-office</b></div></div></div><div><div><div>
Travel</div><div><b>
0-25</b><b> </b><b>%</b></div></div></div><div><div><div>
Role type</div><div><b>
People Manager</b></div></div></div><div><div><div>
Profession</div><div><b>
Research, Applied, &amp; Data Sciences</b></div></div></div><div><div><div>
Discipline</div><div><b>
Data Science</b></div></div></div><div><div><div>
Employment type</div><div><b>
Full-Time</b></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>
Overview</b></h3><div><div>
Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.</div><div><br>
We are seeking a Principal Data Science Manager to build and lead a hybrid team at the intersection of data labeling/annotation operations and applied data science. Your team will deliver high-quality labeled datasets, active-learning loops that directly improve fraud detection precision/recall, reduce false positives, and speed time-to-mitigation across Microsoft businesses.</div><div></div><div><br>
You will be a leader who sets strategy, hires and develops talent, drives cross-org execution, and ships measurable impact.</div><div></div><div><br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><div><b>
Required/Minimum Qualifications</b></div><ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)<ul><li>
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical technology)</li><li>
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical technology)</li><li>
OR equivalent experience.</li></ul></li><li>
3+ years of people-management experience.</li><li>
10+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.</li><li>
Hands-on proficiency with Python and SQL.</li></ul><div><b>
Other Requirements</b></div><div></div><p><br>
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
</p><ul><li>Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><div><b>
Additional/Preferred Qualifications</b></div><ul><li>
Master&rsquo;s/PhD in a quantitative field.</li><li>
Experience with active learning/uncertainty sampling and human-in-the-loop systems.</li><li>
Experience in Stakeholder management and executive communication; ability to set vision and drive cross-org programs to measurable outcomes.</li><li>
Graph analytics/ML and entity-relationship labeling (rings/collusion).</li><li>
Experience with online experimentation and real-time decisioning.</li><li>
Track record building inclusive teams and developing ICs/managers.</li></ul><div><b>
Data Science M5</b> - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.</div><div><br>
</div><div>Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay</div><div><br>
</div><div><b>Microsoft will accept applications for the role until October 30, 2025.</b></div></div></div></div><p></p><div><div><h3 class="jobSectionHeader"><b><br>
Responsibilities</b></h3><div><div><b>
People leadership &amp; org health:</b> Hire, lead, and develop a blended team of data scientists, label-ops leads, and analytics engineers; foster an inclusive culture and career growth.</div><div><b>
Strategy &amp; roadmap:</b> Define the labeling/annotation strategy, taxonomy stewardship, and quality framework aligned to fraud risk priorities and partner roadmaps.</div><div><b>
Active learning &amp; data quality:</b> Design sampling/uncertainty strategies, gold sets, and label accuracy.</div><div><b>
Programmatic labeling:</b> Introduce fragile supervision, heuristics, and graph-derived signals to pre-label data.</div><div><b>
Detection enablement:</b> Partner with engineering and data scientists to integrate labels into feature stores, model training, rules evaluation, and shadow tests.</div><div><b>
Cross-functional influence:</b> Translate ambiguous fraud patterns into clear label definitions and decision rubrics; align with Product, Engineering, and other stakeholders.</div><div><b>
Executive communication:</b> Report business impact and influence prioritization decisions.</div><div>
Embody our culture and values.</div></div></div></div></div><div></div><div><div><div>
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.</div></div><div><div><div>
&#60116;</div>Industry leading healthcare</div><div><div>
&#59326;</div>Educational resources</div><div><div>
&#59628;</div>Discounts on products and services</div><div><div>
&#60157;</div>Savings and investments</div><div><div>
&#63586;</div>Maternity and paternity leave</div><div><div>
&#59927;</div>Generous time away</div><div><div>
&#60241;</div>Giving programs</div><div><div>
&#61396;</div>Opportunities to network and connect</div></div></div><div></div><div><div><div>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div></div></div></div><p></p>

Principal Data Science Manager

Ford Motor Company

<div><div>Global Data Insights and Analytics ( <b>GDI&amp;A </b>) navigates Ford Motor Company through the disruptions of the information age, unleashing the power of Data, Advanced Analytics, and AI to drive value and help transform Ford Motor Company through proactive, actionable, evidence-based decision making. GDI&amp;A delivers data-driven platforms, advanced analytics, and AI/ML solutions to support Ford&rsquo;s Industrial System, Sales, Service, Marketing, Strategy, Finance, and Ford Credit.<br>
</div><div></div><div>We are seeking an initiative-taking and experienced candidate to lead and mentor a multi-skilled product team comprising of data scientists, machine learning engineers, product designers, and software engineers through the entire lifecycle of complex analytical and AI/ML data science products. This role demands strong technical expertise, hands-on experience with cutting-edge analytical tools (including AI/ML), strong understanding of software craftmanship &amp; software development cycle, thought leadership and ability to translate business needs into analytical formulations , and a proven track record of success in creating impactful and insightful data science products.<br>
</div><div></div><div>Ideal candidate for this role possesses a strong theoretical foundation in statistical analysis, machine learning, simulation, econometrics, optimization, data platforms, AI, and software design &amp; development. Given the dynamic nature of data analytics and AI, a commitment to continuous learning, upskilling, and being hands-on is essential. This role requires a blend of technical expertise, hands-on experience, strategic thinking, business domain knowledge, thought leadership, and strong leadership skills.</div></div>
<br><div><div><b>Required:
</b></div><ul><li><p>Master's degree (PhD preferred) in Engineering, Data Science, Computer Science, Statistics, Industrial Engineering, or a related field.
</p></li><li><p>5+ years of <b><i>hands-on experience </i></b>applying supervised and unsupervised machine learning algorithms, deep learning architectures, and statistical modeling techniques (Automotive OEM experience preferred).
</p></li><li><p>5+ years of leading a team of cross-functional technical experts.
</p></li><li><p>Proficiency in R and Python, along with experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn, XGBoost).
</p></li><li><p>Experience with cloud-based platforms (e.g., GCP) and data related technologies (e.g., SQL, Spark, Hive).
</p></li><li><p>Strong technical &amp; people leadership, communication, and collaboration skills.
</p></li><li><p>Understanding of business principles and critical thinking skills to translate business needs into impactful data science solutions.<br>
</p></li></ul><div></div><div><b>Preferred:
</b></div><ul><li><p>Experience with NLP, deep learning, neural network architectures, computer vision, reliability, survival analysis and anomaly detection techniques.
</p></li><li><p>Familiarity with computationally intensive statistical methods, Jira, system architecture principles.
</p></li><li><p>Google certifications on developing and deploying AI/ML models on GCP.
</p></li><li><p>Experience with various software development methodologies (Agile, DevOps), CI/CD pipelines, and testing frameworks. Proficiency in one of AngularJS, ReactJS, or any other front-end technologies.</p></li></ul></div><div></div>
<br><div><ul><li><div><b>Technical Leadership: </b>Provide expert technical guidance and mentorship to data scientists &amp; software engineers in the product team, actively contribute to code reviews, design discussions, algorithm selection, architecting scalable data science solutions (including pipelines, model training infrastructure, and deployment strategies), evaluating and selecting appropriate technologies, and maintain coding standards and best practices. Leverage ML Ops principles to ensure model accuracy, stability, and regulatory compliance through robust risk assessment and independent validation processes where required.
</div></li><li><div><b>Team Leadership &amp; Mentorship </b>: Lead, mentor, and develop a high-performing team, comprising of highly skilled data scientists, software engineers, and ML engineers, fostering best practices in software development and data science. Provide thought leadership and oversight on best practices, code reviews, and technical design. Collaborate closely with data engineers to seamlessly integrate data pipelines and infrastructure while ensuring data quality, consistency, and accuracy.
</div></li><li><div><b>Innovation </b>: Contribute to the development and implementation of the team's innovation strategy, focusing on identifying opportunities for new product development, process improvement, and leveraging emerging technologies within AI/ML, advanced analytics, and software craftmanship. This includes staying informed about the latest research, exploring novel algorithms, evaluating new tools and techniques, and prioritizing user-centered design principles in all aspects of data science product development.
</div></li><li><div><b>Domain Expertise </b>: Lead engagement with internal business partners, understand the business domain (e.g., marketing, manufacturing, after-sales service, credit) for which data science products are being developed, converse in the language of business partners, efficiently translate business requirements into data &amp; analytical problem formulations.
</div></li><li><div><b>Communication </b>: Clearly and concisely communicate technical information to both technical and non-technical audiences. Effectively communicate compelling data-driven recommendations to senior management and foster strong relationships with key business partners.
</div></li><li><div><b>GenAI Implementation </b>: Lead the problem formulation, research, development, and implementation of GenAI to enhance existing solutions and create new innovative applications. This includes exploring and implementing various GenAI models (e.g., Large Language Models, Diffusion Models) and integrating them into data pipelines and workflows.
</div></li><li><div><b>Cross-functional Collaboration: </b>Work effectively with various teams and stakeholders to achieve business objectives.</div></li></ul></div>

Data Science/AI Manager - Design Cost Analytics

Siemens

<div><div><div><div><div><div><b>Job ID
</b></div><div>478944
</div></div><div><div><b>Posted since
</b></div><div>15-Oct-2025
</div></div><div><div><b>Organization
</b></div><div>Digital Industries
</div></div><div><div><b>Field of work
</b></div><div>Strategy
</div></div><div><div><b>Company
</b></div><div>Siemens Industry Software (India) Private Limited
</div></div><div><div><b>Experience level
</b></div><div>Experienced Professional
</div></div><div><div><b>Job type
</b></div><div>Full-time
</div></div><div><div><b>Work mode
</b></div><div>Hybrid (Remote/Office)
</div></div><div><div><b>Employment type
</b></div><div>Permanent
</div></div><div><div><b>Location(s)
</b></div><div><ul><li>Bangalore - Karnataka - India
</li><li>Pune - Maharashtra - India
</li></ul></div></div></div></div></div><div></div><div><div><div><div><div><p>We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation - helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.</p><p>
Siemens Digital Industries Software is seeking an inspiring and technically adept Team Leader to manage and mentor a diverse team of Data Analysts, AI Data Scientists, and Data Visualization Analysts based in India. This critical role involves providing day-to-day leadership, technical guidance, and operational oversight to ensure the successful execution of data-driven projects. The Team Lead will serve as the primary interface between the India-based team and US-based stakeholders, directly translating business use cases and deliverables into actionable plans for the team. The ideal candidate will possess a strong blend of leadership capabilities, deep technical understanding across the data and AI spectrum, and exceptional cross-cultural communication skills.</p><p><b>
Key Responsibilities:</b></p><p>
Team Leadership &amp; Management:</p><ul>
<li>Provide daily leadership, mentorship, and coaching to a team of Data Analysts, AI Data Scientists, and Data Visualization Analysts, fostering a culture of high performance, continuous learning, and innovation.</li>
<li>Conduct performance reviews, set clear objectives, and support the professional growth and career development of team members.</li>
<li>Manage resource allocation, workload distribution, and project assignments to ensure efficient utilization of team capabilities and timely delivery.</li>
</ul><p>Stakeholder Engagement &amp; Project Alignment:</p><ul>
<li>Serve as the primary point of contact and liaison for US-based business stakeholders, understanding their strategic objectives, business use cases, and data requirements.</li>
<li>Translate complex business problems into clear, well-defined analytical and technical tasks for the team.</li>
<li>Manage stakeholder expectations, communicate project progress, challenges, and successes effectively, ensuring alignment between business needs and technical solutions.</li>
<li>Proactively identify and mitigate project risks and dependencies.</li>
</ul><p>Technical Oversight &amp; Quality Assurance:</p><ul>
<li>Provide technical guidance and oversight across data analysis, machine learning model development, and data visualization initiatives.</li>
<li>Ensure the application of best practices in data quality, analytical methodologies, model governance, and visualization design.</li>
<li>Review and validate analytical outputs, models, and visualizations to ensure accuracy, reliability, and adherence to established standards.</li>
<li>Drive continuous improvement in team processes, tools, and methodologies.</li><li>
Stay abreast of emerging trends and technologies in data science, AI, and visualization, and evaluate their potential application within Siemens.</li>
</ul><p><b>Qualifications:</b></p><ul>
<li>Exceptional Leadership &amp; People Management: Proven ability to lead, motivate, and develop highly skilled technical teams, including performance management, coaching, and conflict resolution.</li>
<li>Strong Technical Acumen: Solid understanding of the end-to-end data lifecycle, from data ingestion and cleaning to analysis, modeling, and visualization including familiarity with machine learning concepts, MLOps principles, and model deployment strategies.</li>
<li>Cross-Cultural Communication &amp; Collaboration: Outstanding verbal and written communication skills, with a demonstrated ability to effectively collaborate with and influence diverse global stakeholders, particularly those in the US.</li>
<li>Project &amp; Program Management: Experience in managing complex data and AI projects, including planning, execution, monitoring, and risk management, preferably with agile methodologies.</li>
<li>Problem Solving &amp; Strategic Thinking: Ability to analyze complex business problems, propose data-driven solutions, and think strategically about the long-term impact of analytical initiatives.</li>
<li>Stakeholder Management: Proven ability to manage expectations, build strong relationships, and communicate effectively with both technical and non-technical audiences, including senior leadership.</li>
<li>Adaptability &amp; Resilience: Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities simultaneously.</li>
<li>Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative field.</li>
<li>8+ years of progressive experience in Data Analysis, Data Science, Business Intelligence, or a related field.</li>
<li>3+ years of demonstrated experience in a leadership or team lead role, managing data analysts, data scientists, or similar technical teams.</li>
<li>Experience working directly with US-based stakeholders and managing global team dynamics is essential.</li></ul><p><b>
Working at Siemens Digital Industries Software</b></p><p><b>
Why us?</b></p><p>
Working at Siemens Digital Industries Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.</p><p>
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.</p><p>
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.</p><p><b>
Transform the everyday</b></p><p>
#LI-PLM</p><p>
#LI-Hybrid</p><div>
#LI-JS3</div></div></div></div></div></div></div><p></p>

Team Leader Data & AI Analytics

Citi

<div><p><b>What do we do?</b></p><ul><li><p>
The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury &amp; Trade Services business. The team works on business problems focused on driving acquisitions, cross-sell, revenue growth &amp; improvements in client experience.</p></li><li><p>
The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and machine learning algorithms to build predictive models &amp; other solutions, and designs go-to-market strategies for a huge variety of business problems.</p></li></ul><p></p><p>
ROLE DESCRIPTION</p><ul><li><p>
The role will be Asst. Vice President (C12) in the TTS Analytics team</p></li><li><p>
The role will report to the VP or SVP leading the team</p></li><li><p>
The role will involve leading a team of data scientists and analysts</p></li><li><p>
The role will involve leading a team of data scientists and analysts responsible for the full lifecycle of machine learning model development and deployment.</p></li><li><p>
The role will involve working on multiple data science projects throughout the year on business problems across the client life cycle &ndash; acquisition, engagement, client experience and retention &ndash; for the TTS business.</p></li><li><p>
This includes understanding business needs, designing, developing, and deploying machine learning models, and communicating insights and recommendations to stakeholders.</p></li><li><p>
The candidate should demonstrate a strong understanding of machine learning principles, model development methodologies, and deployment strategies.</p></li><li><p>
This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile &amp; engagement data, transactions &amp; revenue data, digital data, unstructured data like call transcripts etc.) to provide data driven insights and machine learning solutions to business and functional stakeholders.</p></li></ul><p></p><p>
QUALIFICATIONS</p><p></p><p><b>
Experience:</b></p><p></p><ul><li><p>
Bachelor&rsquo;s Degree with 7-10 years of experience in data analytics, or Master&rsquo;s Degree with 6-10 years of experience in data analytics, or PhD.</p></li></ul><p></p><ul><li><p>
Must have:
</p><ul><li><p>Marketing analytics experience</p></li><li><p>
Experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention</p></li><li><p>
Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.</p></li><li><p>
Strong hands-on knowledge of Data Science and Machine Learning, including supervised learning algorithms (both Classification and Regression) such as Linear Regression, Random Forest, XGBoost, Support Vector Machines, etc., as well as unsupervised learning techniques (e.g., clustering, dimensionality reduction).</p></li><li><p>
Experience building and deploying time series models for forecasting and anomaly detection.</p></li><li><p>
Experience with unstructured data analysis, e.g., call transcripts, using Natural Language Processing (NLP)/Text Mining techniques.</p></li><li><p>
Experience building end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.</p></li><li><p>
Experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention</p></li><li><p>
Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.</p></li></ul></li></ul><p></p><ul><li><p>
Good to have:</p><ul><li><p>
Experience in financial services</p></li><li><p>
Deep learning experience; able to work with Neural Networks using TensorFlow and/or PyTorch.</p></li><li><p>
Knowledge on working with GenAI and LLM</p></li></ul></li></ul><p></p><p><b>
Skills:</b></p><p><b>
Analytical Skills:</b></p><ul><li><p>
Ability to understand complex business problems, break them down into simpler solvable parts and develop analytical approaches to tackle them</p></li><li><p>
Strong logical reasoning and problem-solving ability</p></li><li><p>
Proficient in converting business problems into analytical tasks, and analytical findings into business insights</p></li><li><p>
Proficient in identifying trends and patterns with data</p></li></ul><p></p><p><b>
Tools and Platforms:</b></p><ul><li><p>
Proficient in Python/R, PySpark, SQL</p></li><li><p>
Proficient with ML libraries such as Scikit-learn, TensorFlow and PyTorch</p></li><li><p>
Proficient in MS Excel, PowerPoint</p></li><li><p>
Good to have:</p><ul><li><p>
Experience with Tableau</p></li><li><p>
Experience in Hive</p></li></ul></li></ul><p></p><p><b>
Soft Skills:</b></p><ul><li><p>
Ability to drive clear and comprehensive communication flow between business stakeholders and the team and vice versa, translating analytical findings into key insights and actionable recommendations</p></li><li><p>
Building and managing high performance teams</p></li><li><p>
Ability to coach and mentor team members on an ongoing basis</p></li><li><p>
Ability to drive ideation on analytical projects to tackle strategic business priorities</p></li><li><p>
Comfort on working with ambiguity and open-ended questions</p></li><li><p>
Strong process/project management skills</p></li><li><p>
Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.</p></li></ul><p>
-</p><p><b>
Job Family Group:
</b></p>Decision Management<p>
-</p><p><b>
Job Family:</b></p>
Specialized Analytics (Data Science/Computational Statistics)<p>
-</p><p><b>
Time Type:</b></p>
Full time<p>
-</p><p><b>
Most Relevant Skills
</b></p>Please see the requirements listed above.<p>
-</p><p><b>
Other Relevant Skills
</b></p>For complementary skills, please see above and/or contact the recruiter.<p>
-</p><p><i>
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p><p></p><p><i><br>
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>

AVP - Data Science

Mondelez International

You will be crucial in supporting our business by leading a team of data scientists, supporting them in applying the best analytical methods to improve the statistical forecast and overcome business challenges. You will work with various stakeholders to determine how to use business data for business solutions/insights. About the role In this role you will: The experience we are looking for: - A desire to drive your future and accelerate your career and the following experience and knowledge:Proven leadership and people management skills, with at least 3 years of experience building and developing high-performing teams.5+ years of experience in data science, preferably with a focus on time series forecasting, FMCG, Food & Beverages, Retail or similar industries with a proven track record of delivering effective business solutions.Experience in application of ML concepts and methodologies (particularly time series modeling, but also regression, classification, feature engineering and selection etc.)Proficiency in SAS, SQL, Python, and other programming languages to communicate effectively with technical teams. Excellent communication and presentation skills, ability to explain complex analytical topics to both technical and non-technical stakeholders. What we offer All kinds of benefits depending on the location.At Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gumOur 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.Join us and Make It An Opportunity!<img src="https://www.jobg8.com/Tracking.aspx?8I79n2dBKkQLWb03gP%2bIuGhmPqgfN9aLz" width="0" height="0" />

Manager Data Science

titc

<p>We represent a technology player whose digital banking platform is transforming financial services in emerging markets making a real impact by embedding credit and savings products into the digital channels people use every day. Their datadriven technology powers MNOs fintechs and banks enabling them to scale fast and drive financial inclusion for millions. For those looking to work on cuttingedge financial tech with realworld impact this is the opportunity for you. With rapid growth industry recognition and a team that thrives on innovation this is a chance to shape the future of finance in highgrowth markets across Africa.<br><b>Job Description:</b><br>The Data Science and Analytics Lead will enhance their credit risk modelling predictive analytics and operational efficiency. Improve multisource data integration strengthening model governance automating data processes and scaling our infrastructure for faster decisionmaking and market expansion. The Data Science and Analytics Lead will drive datadriven insights refine risk models and build scalable solutions that optimize lending decisions and business growth.<br><b>Your daily adventures include:</b><br><b>Strategic Leadership & Business Impact</b><br></p><ul><li>Drive the development and of the data science strategy to support business growth embedded finance and new market expansion<br></li><li>Leverage AI and behavioral science insights to enhance credit performance customer engagement and savings adoption.<br></li><li>Partner with product risk and engineering teams to integrate data science into decisionmaking and operational processes<br></li></ul><br><b>Model Development & AI Governance</b><br><ul><li>Build refine and deploy AIpowered credit scoring models ensuring high performance fairness and explainability.<br></li><li>Lead experimentation and A/B testing initiatives to enhance underwriting portfolio management and product innovation.<br></li></ul><br><b>Data Infrastructure & Scalability</b><br><ul><li>Collaborate with Engineering to expand data science capabilities to support multiple markets optimizing for scalability and adaptability<br></li><li>Ensure data integrity security and compliance across all data science initiatives<br></li></ul><br><b>Team Leadership & Development</b><br><ul><li>Drive best practices in model development MLOps and responsible AI<br></li><li>Promote crossfunctional collaboration to maximize the value of data science across the organization.<br></li></ul><br>Requirements<b>What it takes to succeed:</b><br><ul><li>Strong background in data science machine learning and AI with experience in credit risk modelling and financial services<br></li><li>Deep understanding of AI governance model transparency and regulatory compliance in financial services<br></li><li>Handson experience with MLOps model deployment and automated monitoring solutions<br></li><li>Strong analytical mindset with a proven ability to drive business impact through data science<br></li><li>Excellent leadership skills with the ability to mentor and build highperforming teams<br></li><li>Bachelors degree in a quantitative field such as Statistics Mathematics Physics Computer Science Data Science Engineering Economics Financial Engineering Actuarial Science or a related discipline<br></li><li>Experience in fintech digital lending or embedded finance is preferred<br></li><li>Exposure to cloud platforms such as AWS GCP or Azure for data engineering and machine learning is beneficial<br></li><li>Familiarity with graph analytics network science or behavioral data modelling is beneficial<br></li><li>Knowledge of causal inference techniques and advanced experimentation methodologies is beneficial<br></li><li>Prior experience in expanding data science functions into new markets is beneficial<br></li></ul><br><img src="https://www.jobg8.com/Tracking.aspx?xFcAYD4BOV%2fAoWqOyHYax9UQKzUTTAXfw" width="0" height="0" />

Data Science and Analytics Lead

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