advanced analytics manager

Al-Futtaim Automotive

Overview <p>Data Science Manager - Operations at Al-Futtaim Automotive leads AI and advanced analytics initiatives that transform operational performance. Focus areas include predictive modelling, anomaly detection, and process optimization to drive efficiency, reduce costs, and enhance customer satisfaction.</p> What You Will Do <ul><li>Build and deploy predictive models for price elasticity, predictive maintenance, churn prediction, and anomaly detection in parts utilization.</li><li>Standardize operational KPIs and real-time reporting systems across brands using statistical process control and advanced visualization techniques.</li><li>Deliver actionable insights on sales and operational performance using causal inference, A/B testing, and counterfactual models.</li><li>Collaborate with cross-functional stakeholders to identify new use cases, define business cases, and prioritize high-impact initiatives.</li><li>Lead and mentor a team of data scientists, ensuring robust MLOps practices and scalable model deployment.</li></ul> Required Skills To Be Successful <ul><li>Expertise in time series analysis, regression, and survival analysis for price elasticity and churn prediction.</li><li>Proficiency in IoT data analysis, predictive maintenance algorithms, and unsupervised learning techniques for anomaly detection.</li><li>Strong knowledge of causal inference, A/B testing, counterfactual modelling, and optimization algorithms.</li><li>Familiarity with deep learning frameworks and pattern recognition for complex operational data.</li><li>Strong stakeholder engagement and the ability to turn complex data insights into operational improvements.</li></ul> About The Team <p>You will report to the Head of AI and Data Science for Operational Excellence and lead a team of Data Scientists and a Data Science Manager. The team works within the Finance Department, playing a key role in improving efficiency, reducing risk, and unlocking value across all operational functions.</p> What Equips You For The Role <ul><li>Bachelor's, Master's, or PhD in Computer Science, Statistics, or a related field.</li><li>7+ years of experience in data science, operations analytics, or AI-driven business transformation.</li><li>Hands-on expertise with advanced statistics, optimization, survival analysis, causal and Bayesian modelling, time series forecasting, graph neural networks, and recommender systems.</li><li>Proficient in Python, SQL, Databricks, and ML libraries (TensorFlow, PyTorch, Scikit-learn, ARIMA/SARIMA, Prophet).</li><li>Knowledge of NLP, transformers, autoencoders, NER, computer vision (OpenCV, YOLO), and model explainability (SHAP, LIME).</li><li>Experience with MLOps, Git, and visualization tools (Matplotlib, Seaborn, Plotly).</li><li>Strong leadership, communication, and project management skills.</li></ul> About Al-Futtaim Automotive <p>A major division of the UAE-based Al-Futtaim Group, Al-Futtaim Automotive operates in 10 countries across the Middle East, Asia and Africa. We distribute, manufacture, lease and provide aftersales services for brands including Toyota, Lexus, Honda, Jeep, Chrysler, Dodge, Volvo and RAM. We are focused on delivering world-class omni-channel experiences and mobility solutions, supported by a 9,000-person team.</p> Job Details <ul><li>Seniority level: Mid-Senior level</li><li>Employment type: Full-time</li><li>Job function: Engineering and Information Technology</li><li>Industries: Motor Vehicle Manufacturing</li></ul><p>Location: Abu Dhabi, United Arab Emirates</p><img src="https://www.jobg8.com/Tracking.aspx?%2fh34g3pSz%2f5bU2YP0yWr4knhQoc5YqwEp" width="0" height="0" />

Data Science Manager - Operations Al-Futtaim Automotive

Robinson & Co (Singapore) Pte Ltd

Overview <p>Data Science Manager (Operations) at Al-Futtaim Automotive leads AI and advanced analytics initiatives that transform operational performance across the business. This role focuses on predictive modelling, anomaly detection, and process optimization to drive efficiency, reduce costs, and enhance customer satisfaction.</p> What you will do <ul><li>Build and deploy predictive models for price elasticity, predictive maintenance, churn prediction, and anomaly detection in parts utilization.</li><li>Standardize operational KPIs and real-time reporting systems across brands using statistical process control and advanced visualization techniques.</li><li>Deliver actionable insights on sales and operational performance using causal inference, A/B testing, and counterfactual models.</li><li>Collaborate with cross-functional stakeholders to identify new use cases, define business cases, and prioritize high-impact initiatives.</li><li>Lead and mentor a team of data scientists, ensuring robust MLOps practices and scalable model deployment.</li></ul> Required skills to be successful <ul><li>Expertise in time series analysis, regression, and survival analysis for price elasticity and churn prediction.</li><li>Proficiency in IoT data analysis, predictive maintenance algorithms, and unsupervised learning techniques for anomaly detection.</li><li>Strong knowledge of causal inference, A/B testing, counterfactual modelling, and optimization algorithms.</li><li>Familiarity with deep learning frameworks and pattern recognition for complex operational data.</li><li>Strong stakeholder engagement and the ability to turn complex data insights into operational improvements.</li></ul> About the team <p>You will report to the Head of AI and Data Science for Operational Excellence and lead a team of Data Scientists and a Data Science Manager. The team works within the Finance Department, playing a key role in improving efficiency, reducing risk, and unlocking value across all operational functions.</p> What equips you for the role <ul><li>Bachelor's, Master's, or PhD in Computer Science, Statistics, or a related field.</li><li>7+ years of experience in data science, operations analytics, or AI-driven business transformation.</li><li>Hands-on expertise with advanced statistics, optimization, survival analysis, causal and Bayesian modelling, time series forecasting, graph neural networks, and recommender systems.</li><li>Proficient in Python, SQL, Databricks, and ML libraries (TensorFlow, PyTorch, Scikit-learn, ARIMA/SARIMA, Prophet).</li><li>Knowledge of NLP, transformers, autoencoders, NER, computer vision (OpenCV, YOLO), and model explainability (SHAP, LIME).</li><li>Experience with MLOps, Git, and visualization tools (Matplotlib, Seaborn, Plotly).</li><li>Strong leadership, communication, and project management skills.</li></ul> About Al-Futtaim Automotive <p>A major division of the UAE-based Al-Futtaim Group of companies, <b>Al-Futtaim Automotive</b> is an industry leader with presence in 10 countries across the Middle East, Asia and Africa. Our core business activities include distribution, manufacturing, leasing and aftersales, and we are the regional representative of brands such as Toyota, Lexus, Honda, Jeep, Chrysler, Dodge, Volvo and RAM. We are driven by a customer-centric approach, pushing innovation, quality standards, and value-added service across our customer base. Our mission is to become the leader in mobility solutions by delivering world-class omni-channel experiences. We employ a 9,000-member team with growth opportunities across the career path. This is Al-Futtaim Automotive and we empower talent to move forward.</p><img src="https://www.jobg8.com/Tracking.aspx?n5tSDoUM%2b4YXVWZZgy8zIrp9EqF8t9BKj" width="0" height="0" />

Overview Of The Role <p>As a Data Science Manager (Operations) at Al-Futtaim Automotive, you will lead AI and advanced analytics initiatives that transform operational performance across the business. This role focuses on predictive modelling, anomaly detection, and process optimization to drive efficiency, reduce costs, and enhance customer satisfaction.</p> What You Will Do <ul><li>Build and deploy predictive models for price elasticity, predictive maintenance, churn prediction, and anomaly detection in parts utilization.</li><li>Standardize operational KPIs and real-time reporting systems across brands using statistical process control and advanced visualization techniques.</li><li>Deliver actionable insights on sales and operational performance using causal inference, A/B testing, and counterfactual models.</li><li>Collaborate with cross-functional stakeholders to identify new use cases, define business cases, and prioritize high-impact initiatives.</li><li>Lead and mentor a team of data scientists, ensuring robust MLOps practices and scalable model deployment.</li></ul> Required Skills To Be Successful <ul><li>Expertise in time series analysis, regression, and survival analysis for price elasticity and churn prediction.</li><li>Proficiency in IoT data analysis, predictive maintenance algorithms, and unsupervised learning techniques for anomaly detection.</li><li>Strong knowledge of causal inference, A/B testing, counterfactual modelling, and optimization algorithms.</li><li>Familiarity with deep learning frameworks and pattern recognition for complex operational data.</li><li>Strong stakeholder engagement and the ability to turn complex data insights into operational improvements.</li></ul> About The Team <p>You will report to the Head of AI and Data Science for Operational Excellence and lead a team of Data Scientists and a Data Science Manager. The team works within the Finance Department, playing a key role in improving efficiency, reducing risk, and unlocking value across all operational functions.</p> What Equips You For The Role <ul><li>Bachelor's, Master's, or PhD in Computer Science, Statistics, or a related field.</li><li>7+ years of experience in data science, operations analytics, or AI-driven business transformation.</li><li>Hands-on expertise with advanced statistics, optimization, survival analysis, causal and Bayesian modelling, time series forecasting, graph neural networks, and recommender systems.</li><li>Proficient in Python, SQL, Databricks, and ML libraries (TensorFlow, PyTorch, Scikit-learn, ARIMA/SARIMA, Prophet).</li><li>Knowledge of NLP, transformers, autoencoders, NER, computer vision (OpenCV, YOLO), and model explainability (SHAP, LIME).</li><li>Experience with MLOps, Git, and visualization tools (Matplotlib, Seaborn, Plotly).</li><li>Strong leadership, communication, and project management skills.</li></ul> About Al-Futtaim Automotive <p>A major division of the UAE-based Al-Futtaim Group of companies, <b>Al-Futtaim Automotive</b> is an industry leader with presence in 10 countries across the Middle East, Asia and Africa. Our core business activities at Al-Futtaim Automotive include distribution, manufacturing, leasing and aftersales, and we are firmly established as the regional representative of some of the world's most iconic automotive brands: Toyota, Lexus, Honda, Jeep, Chrysler, Dodge, Volvo and RAM. We are driven by a customer-centric approach, constantly pushing the boundaries on innovation, quality standards, and value-added service across our vast universe of customers - right from motoring enthusiasts to fleet operators to contractors. Our mission is to become the leader in custom-made mobility solutions by delivering nothing less than world-class omni-channel experiences. We channel our local expertise and global trust to deliver one of the most comprehensive portfolios of mobility products and solutions, from passenger cars to SUVs, electric vehicles to high-performance motorbikes, commercial vehicles to industrial & construction equipment. What keeps the company moving forward is a 9000-member strong team, with inspiring possibilities for growth, throughout the career path. <b>This is Al-Futtaim Automotive and we empower talent to move forward.</b></p> Seniority level <ul><li>Not Applicable</li></ul> Employment type <ul><li>Full-time</li></ul> Job function <ul><li>Engineering and Information Technology</li></ul> Industries <ul><li>Retail</li></ul><img src="https://www.jobg8.com/Tracking.aspx?xFcAYD4BOV%2bpkZIvbqNP5Qm1WWCbyzziw" width="0" height="0" />

Credvest India Private Limited

<p>Position Overview: We are seeking a Performance Marketing Manager with 3+ years of experience to optimize our digital marketing initiatives, ensuring high ROI and impactful results. This role demands a seasoned expert who can design, implement, and refine campaigns across multiple channels, using a data-driven approach to achieve ambitious growth targets. The ideal candidate possesses a comprehensive understanding of performance marketing strategies, a strong analytical skill set, and experience with managing significant ad budgets across platforms.</p><p>Key Responsibilities:</p><p>1. Campaign Strategy, Planning, and Execution &#9675; Develop, execute, and scale high-impact, multi-channel digital campaigns across Google Ads, Facebook Ads, LinkedIn, Instagram, programmatic platforms, and other relevant channels. &#9675; Collaborate with cross-functional teams to align campaigns with overall business goals, brand strategies, and product launches. &#9675; Build out targeted and personalized ad experiences for different audience segments to optimize engagement and conversion rates.</p><p>2. Performance Optimization &amp; Testing &#9675; Lead regular A/B and multivariate testing on ads, creatives, audiences, and landing pages to maximize performance and minimize acquisition costs. &#9675; Analyze campaign data, report insights, and recommend actionable strategies to improve KPIs such as CPA, CTR, ROAS, and conversion rates. &#9675; Use analytical tools and software, such as Google Analytics, Google Tag Manager, and marketing automation platforms, to monitor and refine campaign performance continuously.</p><p>3. Budget Management &amp; ROI Maximization &#9675; Oversee and manage substantial ad budgets across multiple platforms, optimizing allocations based on performance data to maximize return on ad spend (ROAS). &#9675; Implement advanced bidding strategies and budget management tactics to</p><p>4. Data Analysis &amp; Reporting &#9675; Prepare in-depth campaign performance reports, translating data into clear and actionable insights for both internal and external stakeholders. &#9675; Collaborate with data and analytics teams to enhance reporting mechanisms and deliver real-time performance metrics.</p><p>5. Competitor Analysis &amp; Industry Research &#9675; Conduct market research and competitive analysis to identify new opportunities and industry best practices. &#9675; Stay informed of the latest changes in platform algorithms, ad formats, and industry trends to maintain a high level of performance.</p><p>Qualifications:</p><p>&#9679; Bachelor&rsquo;s degree in Marketing, Business, Data Analytics, or a related field; advanced certifications in digital marketing or analytics are a plus.</p><p>&#9679; 3+ years of experience in performance or digital marketing, with proven success in scaling and optimizing high-budget campaigns.</p><p>&#9679; Proficient with digital advertising platforms (Google Ads, Facebook Ads, LinkedIn Ads, and others) and advanced analytics tools (Google Analytics, Google Tag Manager, etc.).</p><p>&#9679; Demonstrated expertise in A/B testing, data analysis, and optimization techniques.</p><p>&#9679; Strong knowledge of marketing automation, CRM tools, and customer journey mapping. &#9679; Exceptional problem-solving skills with a proactive, data-driven approach.</p><p>&#9679; Excellent communication skills and the ability to present complex data insights to stakeholders clearly.</p><p>Preferred Skills:</p><p>&#9679; Experience in e-commerce or SaaS marketing.</p><p>&#9679; Familiarity with SEO principles and their application in paid campaigns.</p><p>&#9679; Advanced skills in Excel and data visualization tools.</p><p>&#9679; Certifications such as Google Ads, Google Analytics, and Facebook Blueprint</p><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;650,000.00 - &#8377;850,000.00 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Paid sick time</li><li>Provident Fund</li></ul><p>Application Question(s):</p><ul><li>How many years of experience do you have in Performance Marketing Management?</li><li>What is your current CTC?</li><li>What is your expected CTC?</li></ul><p>Work Location: In person</p>

Performance Marketing Manager

Deraah Trading Company

<div>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Marketing, Business Administration, Information Technology, or a related field.
  </li>
  <li>
   Minimum of 7 years of experience in digital marketing, with proven leadership experience in a similar role.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Extensive experience in managing and executing digital marketing strategies across multiple channels, including digital advertising, content marketing, SEO, and social media.
  </li>
  <li>
   Proficiency in using advanced digital marketing tools such as Google Tag Manager, Google Analytics 4, and Facebook Ads Manager.
  </li>
  <li>
   Proven ability to lead and manage cross-functional teams, including creative, content, advertising, SEO, and technical teams.
  </li>
  <li>
   Hands-on experience with campaign management platforms and CRM systems such as Salesforce or equivalent.
  </li>
  <li>
   Strong knowledge of digital analytics, with the ability to interpret data and make evidence-based decisions.
   <br/>
   <br/>
  </li>
 </ul>
 Skills: analytics,campaign management,advertising,digital marketing,digital
</div>


Head of Digital Marketing

Philips

<div><h3 class="jobSectionHeader"><b>Job Title
</b></h3>Catalog Quants Manager
<p></p><h3 class="jobSectionHeader"><b>Job Description
</b></h3><p>#EOS
</p><p>#LIPHILIN<br>
</p><p><br>
<b>Job title:
</b><br>
Catalog Quants Manager<br>
</p><div><br>
<b>Your role:
</b><br>
<b>Job Responsibilities:
</b><br>
<ul><li>Analyzes complex and multi-dimensional datasets across various business units to uncover deep insights that inform high-level strategic decisions and drive business performance.
</li><li>Creates sophisticated data models and predictive analytics using advanced statistical techniques and machine learning algorithms to forecast trends and optimize business outcomes, working under general supervision.
</li><li>Implements scalable ETL (Extract, Transform, Load) pipelines and robust data integration solutions, ensuring data consistency, accuracy, and reliability across the organization.
</li><li>Provides inputs on data architecture and infrastructure improvements, advising on best practices for data storage, retrieval, and management to enhance system performance and scalability.
</li><li>Ensures compliance with global data privacy regulations (such as GDPR and HIPAA) by designing and enforcing comprehensive data governance frameworks and security protocols.
</li><li>Conducts advanced statistical analyses, including hypothesis testing and multivariate analysis, to validate business strategies and provide evidence-based recommendations for process enhancements.
</li><li>Evaluates the effectiveness of implemented data solutions using performance metrics and feedback loops, continuously refining analytical approaches to improve outcomes.
</li><li>Benchmarks existing data analytics tools and technologies, leading the selection and integration of state-of-the-art solutions to maintain a competitive edge and drive innovation.
</li><li>Supports the execution of enterprise-wide data strategies, providing thought leadership and expert guidance in data analytics, business intelligence, and data science methodologies.
</li><li>Identifies opportunities for automation and process optimization, leveraging artificial intelligence, machine learning, and advanced analytics to enhance data processing efficiency and decision-making accuracy.<br>
</li></ul></div><p><br>
<b>You're the right fit if:<br>
</b></p><div><br>
<b>Minimum required Education:
</b><br>
Bachelor's Degree/ Vocational Education in Information Management, Information Systems, Computer Science, Data Analytics or equivalent.
<br>
<br>
<b>Minimum required Experience:
</b><br>
No prior experience required with Bachelor's Degree OR minimum 4 years of experience with Vocational Education in areas such as Data Analytics, Data Modeling or equivalent.
<br>
<b>Job Responsibilities:
</b><br>
<ul><li>Analyzes complex and multi-dimensional datasets across various business units to uncover deep insights that inform high-level strategic decisions and drive business performance.
</li><li>Creates sophisticated data models and predictive analytics using advanced statistical techniques and machine learning algorithms to forecast trends and optimize business outcomes, working under general supervision.
</li><li>Implements scalable ETL (Extract, Transform, Load) pipelines and robust data integration solutions, ensuring data consistency, accuracy, and reliability across the organization.
</li><li>Provides inputs on data architecture and infrastructure improvements, advising on best practices for data storage, retrieval, and management to enhance system performance and scalability.
</li><li>Ensures compliance with global data privacy regulations (such as GDPR and HIPAA) by designing and enforcing comprehensive data governance frameworks and security protocols.
</li><li>Conducts advanced statistical analyses, including hypothesis testing and multivariate analysis, to validate business strategies and provide evidence-based recommendations for process enhancements.
</li><li>Evaluates the effectiveness of implemented data solutions using performance metrics and feedback loops, continuously refining analytical approaches to improve outcomes.
</li><li>Benchmarks existing data analytics tools and technologies, leading the selection and integration of state-of-the-art solutions to maintain a competitive edge and drive innovation.
</li><li>Supports the execution of enterprise-wide data strategies, providing thought leadership and expert guidance in data analytics, business intelligence, and data science methodologies.
</li><li>Identifies opportunities for automation and process optimization, leveraging artificial intelligence, machine learning, and advanced analytics to enhance data processing efficiency and decision-making accuracy.
</li></ul><br>
<b>Minimum required Education:
</b><br>
Bachelor's Degree/ Vocational Education in Information Management, Information Systems, Computer Science, Data Analytics or equivalent.
<br>
<br>
<b>Minimum required Experience:
</b><br>
Minimum 4 years of experience in areas such as Data Analytics, Data Modeling or equivalent.
<br>
<br>
<b>Preferred Skills:
</b><br>
<ul><li>Data Analysis &amp; Interpretation
</li><li>Data Harmonization &amp; Processing
</li><li>Statistical Methods
</li><li>Statistical Programming Software
</li><li>Business Intelligence Tools
</li><li>Data Mining
</li><li>Machine Learning Engineering Fundamentals
</li><li>Research &amp; Analysis
</li><li>Structured Query Language (SQL)
</li><li>Regulatory Compliance
</li></ul><br>
<b>How we work together
</b><br>
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
<br>
Onsite roles require full-time presence in the company&rsquo;s facilities.
<br>
Field roles are most effectively done outside of the company&rsquo;s main facilities, generally at the customers&rsquo; or suppliers&rsquo; locations.
<br>
Indicate if this role is an office/field/onsite role.
<br>
<b>About Philips
</b><br>
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
<br>
<ul><li>Learn more about our business .
</li><li>Discover our rich and exciting history .
</li><li>Learn more about our purpose .
</li></ul>If you&rsquo;re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here .</div></div>

Catalog Quants Manager

LatentView Analytics

<p></p><div><div><div><b>Designation: Assistant Manager - Data Science</b></div><div><b>
Level: L3</b><br>
<b>Experience: 6 to 8 years</b><br>
<b>Location: Chennai</b></div><div><b><br>
Job Description:</b></div><div></div><div><br>
We are seeking a seasoned Data Scientist &ndash; Growth Analytics to join our team at the Assistant Manager level. You will be pivotal in driving data-driven growth strategies by analyzing marketing and product data, building predictive models, and leading experimentation efforts. Your insights will directly impact customer acquisition, engagement, and retention strategies across our products and marketing channels.</div><div></div><div><b><br>
Responsibilities:</b></div><div></div><ul><li><br>
 Develop and deploy advanced analytics models to identify growth opportunities across marketing and product funnels.</li><li> Use machine learning and statistical methods to predict user behavior, lifetime value, churn, and segmentation.</li><li> Design, analyze, and interpret A/B tests and multivariate experiments to optimize campaigns and product features.</li><li> Collaborate with cross-functional teams (marketing, product, engineering, finance) to align analytics solutions with business goals.</li><li> Build scalable data pipelines and dashboards using SQL, Python, and relevant BI tools to monitor key growth metrics.</li><li> Lead and mentor junior data scientists and analysts, fostering a culture of data-driven decision making.</li><li> Translate complex analytical insights into clear, actionable recommendations for senior leadership.</li></ul><div></div><div><b><br>
Skills:</b></div><div></div><ul><li><br>
 Strong proficiency in SQL and Python for data manipulation, modeling, and visualization.</li><li> Expertise in Machine Learning (ML) techniques such as classification, regression, clustering, and predictive modelling.</li></ul><div></div><ul><li> 6+ years of hands-on experience in growth analytics, marketing analytics, or product analytics roles</li></ul></div></div>
<br><div><div><b>Job Snapshot</b></div><div><div><div>
Updated Date</div><div>
24-10-2025</div></div><div><div>
Job ID</div><div>
J_4187</div></div><div><div>
Location</div>
Chennai, Tamil Nadu, India
</div><div><div>Experience</div><div>
6 - 8 Years</div></div><div><div>
Employee Type</div><div>
Permanent</div></div></div></div>

Assistant Manager - Data Science

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