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data science senior manager

Farah Experiences

<div>Join Us at Miral Experiences
At Miral Experiences , we don&acirc;&euro;&trade;t just create jobs &acirc;&euro;&rdquo; we create extraordinary moments . As part of the visionary Miral Group , we bring to life some of the world&acirc;&euro;&trade;s most iconic attractions, including Ferrari World Abu Dhabi , Warner Bros. World Abu Dhabi , Yas Waterworld , and SeaWorld Yas Island .
We are passionate about delivering unforgettable guest experiences and shaping the future of leisure and entertainment in the UAE. Our team is made up of innovators, doers, and dreamers who thrive in a dynamic, inclusive, and purpose-driven environment.
If you're looking to be part of something bigger &acirc;&euro;&rdquo; where your work directly contributes to memorable experiences for millions &acirc;&euro;&rdquo; then Miral Experiences is the place for you .
About the Role
Are you a data visionary ready to lead the charge in transforming business decisions through AI and advanced analytics? At Miral, we&acirc;&euro;&trade;re building the future of leisure and entertainment &acirc;&euro;&rdquo; and data is at the heart of it. As our Data Science Senior Manager , you&acirc;&euro;&trade;ll drive high-impact projects, mentor a brilliant team, and deploy cutting-edge solutions in our cloud-first ecosystem.
What You'll Do
<ul><li>Lead end-to-end data science projects &acirc;&euro;&rdquo; from ideation to deployment &acirc;&euro;&rdquo; using ML, causal inference, and time-series analysis.
</li><li>Design and implement models that uncover trends, optimize performance, and unlock new revenue opportunities.
</li><li>Collaborate with business leaders to turn insights into action and shape data-driven strategies.
</li><li>Coach and mentor data scientists, building a culture of innovation and excellence.
</li><li>Work closely with data engineering and intelligence teams to operationalize solutions in Azure and Snowflake.
</li><li>Advocate for smarter data structures and analytics platforms to future-proof our tech stack.
</li></ul>What You Bring
Education &amp; Experience
<ul><li>Master&acirc;&euro;&trade;s in Data Science, Applied Math, or related field (PhD is a plus).
</li><li>8+ years of hands-on experience in data science, analytics, or AI.
</li></ul>Technical Skills
<ul><li>Expert in Python, R, SQL, and distributed databases (Snowflake, HQL).
</li><li>Deep knowledge of ML techniques (clustering, neural nets, decision trees).
</li><li>Proficient in Azure tools: DataBricks, AzureML, ADF, ADLS.
</li><li>Strong grasp of statistical modeling, hypothesis testing, and causal analysis.
</li><li>Familiarity with Agentic AI platforms (n8n, Agent Bricks) is a bonus.
</li></ul>Soft Skills
<ul><li>Strategic thinker with a product mindset.
</li><li>Excellent communicator and cross-functional collaborator.
</li><li>Proven leadership in diverse, agile teams.
</li></ul>Ready to Make an Impact?
If you're passionate about people, service, and creating a workplace where colleagues feel supported and valued &acirc;&euro;&rdquo; we&acirc;&euro;&trade;d love to hear from you. Apply now and take the next step in your career with Miral Experiences &acirc;&euro;&rdquo; where your work helps shape unforgettable moments every day.</div>

Data Science Senior Manager

Miral Group

A leading entertainment company in Abu Dhabi is seeking a Data Science Senior Manager to lead data science projects and mentor a team. The role involves designing and implementing models to shape data-driven strategies in the leisure and entertainment sector. Ideal candidates will have an advanced degree in Data Science and over 8 years of relevant experience. The position offers an opportunity to influence business decisions through AI and advanced analytics.

Senior Data Science Manager - Drive AI & Analytics Strategy

Aventus

<div>
 
 
 Senior Manager &ndash; Portfolio Data &amp; AI
 
 
 
 
 
 
 Are you passionate about driving digital transformation through Data &amp; AI? This is an exciting opportunity to join a leading UAE-based organization as a
 
 Senior Manager &ndash; Portfolio Data &amp; AI
 
 , where you will play a key role in shaping and delivering cutting-edge technology and AI initiatives across diverse portfolios.
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 As Senior Manager &ndash; Portfolio Data &amp; AI, you will:
 
 <ul>
 <li>
 Lead
 
 data, analytics, and AI implementation projects
 
 with measurable business impact.
 </li>
 <li>
 Oversee
 
 technology transformation initiatives
 
 , ensuring projects are delivered on time and within budget.
 </li>
 <li>
 Guide digital engineering and automation initiatives to drive efficiency and scalability.
 </li>
 <li>
 Assess and evaluate emerging technologies, vendors, and solutions to ensure strategic alignment.
 </li>
 <li>
 Translate complex technical concepts into business value for senior stakeholders.
 </li>
 <li>
 Collaborate across functions &ndash; including portfolio management, finance, strategy, and compliance &ndash; to enable enterprise-wide adoption of Data &amp; AI solutions.
 </li>
 </ul>
 
 
 
 
 
 Candidate Requirements
 
 
 
 
 
 <ul>
 <li>
 
 10&ndash;15 years&rsquo; experience
 
 in technology, digital, or AI-driven transformation, with at least
 
 7 years in a managerial role
 
 .
 </li>
 <li>
 Proven expertise in
 
 data management, AI models, machine learning, and automation
 
 .
 </li>
 <li>
 Strong project delivery track record in consulting, digital implementation, or operational technology roles.
 </li>
 <li>
 Technical fluency with
 
 architecture design, software development practices, and scaling technology solutions
 
 .
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, or Artificial Intelligence (Master&rsquo;s preferred).
 </li>
 <li>
 Excellent
 
 stakeholder management, communication, and problem-solving
 
 skills.
 </li>
 </ul>
 
 
 
 
 If you&rsquo;re a technology leader with a passion for Data &amp; AI transformation, apply now to explore this opportunity.
 
 
 
</div>

Senior Manager Data & AI

Nabat

<div>
 
 
 Who is Nabat?
 
 
 
 
 
 
 
 Nabat is a climate-tech startup based in the UAE using advanced technology to protect and restore natural ecosystems with precision and scale!
 
 We operate at the intersection of ecological &amp; environmental sciences, GIS, AI, and robotics. Our mission is to enable data-driven, science-backed ecosystem management and restoration at the speed and scale necessary to address the critical challenges of climate change, deforestation, land erosion, and biodiversity loss. Our comprehensive solution - consisting of ecosystem management software, precision aerial seeding drones, AI &amp; ecological models, and restoration services - is already being used to plant millions of mangroves in the UAE. But we&rsquo;re just getting started, as we build our platform to serve the needs of coastal, marine and arid ecosystems around the world.
 
 
 
 
 
 If this mission resonates with you, let&rsquo;s talk.
 
 
 
 
 
 🔹
 
 What is the role?
 
 
 
 
 
 
 We&rsquo;re building our product development team from the ground up and are looking for highly talented, self-driven
 
 Senior Data Scientists with proven experience using cutting-edge data science techniques to extract science-backed insights from large, complex geospatial data sets
 
 .
 
 
 
 
 
 📍
 
 Relocation to the UAE is required
 
 &ndash; generous relocation benefits and visa sponsorship (for the employee and their family) will be provided.
 
 
 
 
 
 
 🔹 Your responsibilities will include:
 
 
 
 
 
 
 &bull;
 
 Act as senior/staff-level individual contributor
 
 to own the development of analytical and predictive models for Nabat&rsquo;s AI-powered ecosystem management platform, using a variety of AI/ML and statistical techniques.
 
 
 &bull;
 
 Research, develop, train, validate, refine and deploy models
 
 that use deep domain knowledge to extract user-friendly scientific and ecological insights from geospatial data.
 
 
 Some of the problems you might be working on using satellite and drone imagery:
 
 
 &EmptyVerySmallSquare;️ land use/cover classification
 
 
 &EmptyVerySmallSquare;️ identification of plant native and invasive species
 
 
 &EmptyVerySmallSquare;️ estimating carbon stock and biodiversity
 
 
 &EmptyVerySmallSquare;️ modeling and predicting the outcome of different restoration scenarios
 
 
 &EmptyVerySmallSquare;️ creating optimal flight paths for multi-drone seeding operations
 
 
 &EmptyVerySmallSquare;️ detecting ecosystems at risk
 
 
 &EmptyVerySmallSquare;️ measuring plant-level growth metrics
 
 
 &EmptyVerySmallSquare;️ high-throughput phenotyping, and so on.
 
 
 &bull; In close collaboration with software and data engineers,
 
 design and implement well-architected, scalable, robust, high-performance, AI/ML-powered systems
 
 for ingestion, storage, processing, analysis, insight extraction, and visualization of large amounts of geospatial time-series data (geotagged, ultra-high-resolution RGB, multi- and hyper-spectral imagery, KML files, LIDAR point clouds, etc from satellites and drones).
 
 
 &bull;
 
 Communicate and collaborate cross-functionally
 
 with product managers, software, hardware and data engineers, ecologists, GIS data analysts, drone pilots, operations folks, and end users to deliver key initiatives.
 
 
 &bull;
 
 Knowledge transfer from and continuous engagement with researchers
 
 (from Technology Innovation Institute) and external partners to understand and take ownership of what has been built to date, become the subject matter expert for your product domain, and lead the research &amp; development roadmap for your domain.
 
 
 
 
 
 
 🔹 What are we looking for?
 
 
 
 
 
 
 &bull;
 
 A strong research/academic foundation
 
 with at least a Master's degree in engineering, data science, mathematics, ecological or environmental science, or similar fields, and ideally published research in peer-reviewed journals.
 
 
 &bull;
 
 Extensive, hands-on development experience with AI/ML model development in the geospatial, computer vision and/or remote sensing domain
 
 , including:
 
 
 &EmptyVerySmallSquare;️ Familiarity with the latest machine learning techniques and models for image analysis, object detection, semantic segmentation, pattern recognition, predicting outcomes, anomaly detection, or similar using large geospatial datasets (RGB, multi- and hyper-spectral drone imagery, LIDAR point clouds, satellite imagery, etc)
 
 
 &EmptyVerySmallSquare;️ Experience combining data from multiple sources (sensor fusion) such as drones, satellites, ground truth, in-field sensors or from multiple models (ensemble methods) to improve performance
 
 
 &EmptyVerySmallSquare;️ Researching appropriate models and techniques given a problem space, scientific and business context, and validating different options before recommending a solution
 
 
 &EmptyVerySmallSquare;️ Experience using supervised and unsupervised learning, deep learning, CNNs, RNNs, GANs, and the like in the geospatial domain
 
 
 &EmptyVerySmallSquare;️ Determining quantifiable measures for the quality of data and performance of models, evaluating and communicating these metrics to stakeholders
 
 
 &EmptyVerySmallSquare;️ Using geospatial data processing, analysis, and visualization tools (Python, R, PyTorch, Jupyter, QGIS, Grass GIS, ArcGIS, etc)
 
 
 &EmptyVerySmallSquare;️ Experience performing self-directed exploratory data analysis using statistical and visualization tools to understand patterns, trends, and anomalies and present results
 
 
 &EmptyVerySmallSquare;️ Experience working with and deploying production-ready models to cloud platforms: AWS, GCP, or Azure
 
 
 &EmptyVerySmallSquare;️ Experience working with software engineers, data engineers and GIS data analysts to productize and launch models to production
 
 
 &bull;
 
 Builder/entrepreneur mindset
 
 : You've created something meaningful from the ground up - whether leading a project, founding a venture, or crafting an impressive side project that demonstrates your initiative.
 
 
 &bull;
 
 Communication excellence
 
 : You articulate ideas clearly and document thoroughly, understanding that transparent communication is fundamental to our collaborative approach.
 
 
 &bull;
 
 Bias for action and execution
 
 : You move with purpose and velocity, driving for impact rather than perfection. You're comfortable making decisions and failing fast when necessary to achieve results. You prioritize shipping and iterating over endless conceptualizing.
 
 
 &bull;
 
 Problem-solving aptitude
 
 : You approach challenges with creativity and pragmatism, finding elegant solutions that balance technical constraints with user needs.
 
 
 &bull; Nice to haves: Previous experience building products in the domain of geospatial AI, remote sensing, earth observation, environmental monitoring, precision agriculture, or drone robotics.
 
 
 
 
 
 
 🔹Why join Nabat?
 
 
 
 
 
 
 A once-in-a-lifetime opportunity to
 
 
 
 
 <ul>
 <li>
 
 Join a well-funded early-stage tech startup
 
 at the intersection of some of the most exciting, disruptive and innovative technologies in the world - geospatial AI, remote sensing, drone robotics, ecology &amp; agricultural science.
 </li>
 <li>
 
 Design, build and shape a product from the ground up
 
 using your unique skills and expertise .
 </li>
 <li>
 
 Work with a truly international and world-class R&amp;D team
 
 both within Nabat and in collaboration with 1200+ researchers, scientists and technologists in the larger Advanced Technology Research Council (
 
 https://www.atrc.gov.ae/
 
 ), Technology Innovation Institute (
 
 https://www.tii.ae/
 
 ), and VentureOne (
 
 https://www.ventureone.ae/
 
 ) ecosystem.
 </li>
 <li>
 
 Relocate to Abu Dhabi &ndash; one of the safest, most livable, expat-friendly cities in the world
 
 - with an &ldquo;all inclusive&rdquo; relocation package for you and your family, that includes work &amp; residence visa sponsorship, business class flights, orientation tour, school and house search, and luxury hotel stay until you find your new home.
 </li>
 <li>
 
 Make a real and direct impact
 
 to solving the most critical challenges of our time &ndash; climate change and ecosystem loss!
 </li>
 </ul>
 
 
 
 
 
 🔹What is the hiring process like?
 
 
 
 
 
 
 We believe in making your hiring and onboarding seamless and transparent. Here is what to expect from us:
 
 
 
 
 <ul>
 <li>
 
 Initial screening call
 
 with a member of our Talent team to ensure expectations and experience aligns.
 </li>
 <li>
 
 First interview with hiring manager
 
 about the role and ask questions &ndash;
 
 Taha Ghaznavi
 
 , Chief Product Officer, Nabat.
 </li>
 <li>
 
 Second interview with technical team member(s)
 
 to assess your capabilities. Might include a coding test and/or small case study.
 </li>
 <li>
 
 Third interview with a senior leader
 
 to assess culture fit and give you opportunity to meet your future stakeholders.
 </li>
 <li>
 Hiring decision and conditional offer.
 </li>
 <li>
 Background check and final offer.
 </li>
 <li>
 Relocation to the UAE and onboarding!
 </li>
 </ul>
 
 
 
 
 Apply with your CV and tell us what makes you &amp; your experience a great fit for Nabat.
 
</div>

Senior Data Scientist (Geospatial AI)

Etihad

<div>
 Synopsis
 
 
 
 
 This Product Manager sits in the Digital Technology and Innovation department value stream and is accountable for the Web and Mobile APP, and for the loyalty program. While accountable for agile development, part of the development work, and third-party coordination is waterfall and should be managed accordingly.
 
 
 This role reports to the Senior Product Manager, Digital. The Product Manager is responsible for managing the end-to-end product development process from defining desirable, feasible, viable and sustainable products to launching them and ensuring they continuously meet customers&rsquo; needs and internal KPIs. This role will support the Senior Product Manager with the strategy, vision and roadmap for products within the value stream, as well as day-to-day operations.
 
 
 This role will have a customer-centric mindset and act as the internal representative of the customer throughout the product lifecycle. They will leverage market and customer research to continuously understand market and customer needs.
 
 
 Accountabilities
 
 
 
 
 <ul>
 <li>
 Collaborate with business stakeholders to define, communicate, and maintain the product strategy, vision, and roadmap.
 </li>
 <li>
 Ensure alignment and shared understanding across teams on feature development timelines and priorities.
 </li>
 <li>
 Partner with Solution Architects and Software Engineers to define and maintain Non-Functional Requirements (NFRs) ensuring product quality, scalability, and performance.
 </li>
 <li>
 Present the product vision, features, and milestones during Program Increment (PI) Planning sessions.
 </li>
 <li>
 Actively participate in daily agile activities to support delivery alignment and remove roadblocks.
 </li>
 <li>
 Measure product success through adoption metrics, customer insights, and feedback identifying opportunities for enhancement and innovation.
 </li>
 <li>
 Provide regular progress updates, proactively managing dependencies, risks, and issues, and escalating to the Senior Product Manager when necessary.
 </li>
 <li>
 Support and partner with the Senior Product Manager on with the strategy, vision and roadmap for products within the value stream, as well as day to day operations.
 
 
 </li>
 </ul>
 Education &amp; Experience
 
 
 
 
 <ul>
 <li>
 Minimum 7 years of professional experience, including 3+ years as a Product Manager designing and launching high-quality software products. Airline or Loyalty industry experience is a plus.
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, Information Systems, Engineering, or a related field.
 </li>
 <li>
 Proven track record of defining, delivering, and launching successful products.
 </li>
 <li>
 Strong understanding of the end-to-end product lifecycle, including integrating customer feedback, defining requirements, and driving prioritization.
 </li>
 <li>
 Skilled in data-informed decision-making, leveraging user testing, competitor and market analysis, and defining key performance metrics.
 </li>
 <li>
 Customer-centric mindset, with a focus on placing user needs at the centre of product decisions.
 </li>
 <li>
 Recognized team player with strong communication and collaboration skills, able to work effectively across multiple teams and stakeholders.
 </li>
 <li>
 Experience applying design thinking tools such as personas, empathy maps, journey maps, and story maps is desirable.
 </li>
 <li>
 Relevant certifications such as Certified Product Manager (CPM) or Agile Certified Product Manager (ACPM) are desirable.
 </li>
 <li>
 Experience with Agile methodologies including SAFe, Scrum, and Lean Portfolio Management is desirable.
 
 
 </li>
 </ul>
 
 About Etihad Airways
 
 
 
 Etihad Airways, the national airline of the UAE, was formed in 2003 and quickly went on to become one of the world&rsquo;s leading airlines. From its home in Abu Dhabi, Etihad flies to passenger and cargo destinations in the Middle East, Africa, Europe, Asia, Australia and North America. Together with Etihad&rsquo;s codeshare partners, Etihad&rsquo;s network offers access to hundreds of international destinations. In recent years, Etihad has received numerous awards for its superior service and products, cargo offering, loyalty programme and more. All this ties into Etihad&rsquo;s ambitious Journey 2030 strategy. The airline plans to double its fleet size and triple the number of customers over the next six years as it sets out to be the airline everyone wants to fly!
 
 
 To learn more, visit etihad.com
 
 
 
 Recruitment Fraud Alert
 
 
 
 Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.
</div>

Product Manager - Etihad Guest

EPAM Systems

<div>We are seeking a highly technical, proactive and people-oriented Data Delivery Manager with a strong foundation in data science and AI to join our Data &amp; Analytics practice in Abu Dhabi, UAE. As a key member of our team, you will lead the delivery of complex data programs and projects, managing multiple workstreams across diverse domains. You will collaborate with both local and global delivery teams, leveraging your expertise in data science, cloud technologies and program management to drive impactful business outcomes.
Responsibilities<ul><li>
Oversee end-to-end client delivery for data science and AI projects, ensuring successful outcomes aligned with EPAM processes</li><li>
Manage client relationships and expectations, representing delivery at the governance level</li><li>
Coordinate multiple activity streams and clients, ensuring seamless delivery across finance, sourcing, implementation and business objectives</li><li>
Work closely with multi-disciplinary teams of product owners, architects, data scientists, engineers and quality assurance to drive estimates, delivery plans and retrospectives</li><li>
Proactively identify and manage engagement risks, escalating major issues early</li><li>
Participate in business development efforts for both existing clients and new projects, continuously identifying new opportunities in data science and AI</li></ul>
Requirements<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics or a related field; Ph.D. is a plus</li><li>
Client-facing skills and business fluency in English; proficiency in Arabic is a significant advantage</li><li>
Proficiency in data management concepts such as data governance, data quality, data integration and data lifecycle management</li><li>
Advanced experience in data science, machine learning and AI concepts, including model development, deployment and monitoring</li><li>
Proven track record of successfully managing complex data and AI projects from initiation to delivery</li><li>
Experience leading and managing teams, including hiring, mentoring and performance management</li><li>
Excellent negotiation and communication skills for collaborating with internal and external stakeholders</li><li>
Solid understanding of data technologies, including databases (SQL, NoSQL), data warehousing solutions (e.g. Snowflake, Redshift), ETL tools and data science platforms (e.g. Databricks, SageMaker)</li><li>
Knowledge of cloud platforms (AWS, Azure, GCP) and their data and AI-related services</li><li>
Hands-on experience implementing data delivery pipelines, data warehouses and data lakes is a plus</li><li>
Strong knowledge of data modeling, database design principles and statistical analysis</li></ul>
We offer<ul><li>
End of service gratuity</li><li>
Private healthcare and life insurance</li><li>
Employee assistance program</li><li>
Wellness program</li><li>
Annual air travel tickets for expatriates</li><li>
Regular performance feedback and salary reviews</li><li>
Global travel medical and accident insurance</li><li>
Referral bonuses</li><li>
Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more</li><li><ul><li>All benefits and perks are subject to certain eligibility requirements</li></ul></li></ul></div>

Data Delivery Manager – Data Science & AI Focus

Khazna Data Centers

<div>
 
 
 Khazna was founded in 2012 and has grown rapidly into becoming the leading and trusted wholesale Data Center provider in the Middle East and North Africa region. Through our Data Centers, we provide industry benchmark levels of power supply and cooling services to better serve the growing need for data center operations in the UAE and wider region.
 
 
 
 
 
 
 We are seeking a
 
 Data Scientist (AI/ML)
 
 to join our
 
 Command &amp; Control Center &ndash; Data Analytics &amp; Reporting
 
 team, reporting to the
 
 Manager, Data &amp; BI
 
 . This centralized role is responsible for developing AI-driven solutions, machine learning models, and advanced analytics to enhance data center operations, efficiency, and innovation. The Data Scientist will apply predictive modeling, deep learning, and other data science techniques to enable data-driven decision-making and automation across the data center ecosystem.
 
 
 
 
 
 
 Key Accountabilities:
 
 
 
 
 
 <ul>
 <li>
 In collaboration with the line manager, develop Data Center AI/ML models for predictive maintenance, anomaly detection and capacity planning, reducing downtime and optimizing resource allocation
 </li>
 <li>
 Support in simulation models to assess potential business impact, forecasting power demand, cooling efficiency and IT workload fluctuations
 </li>
 <li>
 Work with big data technologies and cloud platforms, optimizing AI model deployment across hybrid and multi-cloud architectures
 </li>
 <li>
 Optimize Data Center models for performance, scalability and interpretability, ensuring they align with real-time decision-making needs of mission-critical facilities
 </li>
 <li>
 Conduct statistical analysis and hypothesis testing, providing data-driven insights for risk assessment, asset lifecycle management and energy efficiency improvements
 </li>
 <li>
 Collaborate with Data Engineers to ensure seamless data pipeline integration, enabling real-time AI-driven monitoring and automation
 </li>
 <li>
 Support in develop anomaly detection algorithms to proactively identify deviations in data center power usage effectiveness (PUE), cooling efficiency etc.
 </li>
 <li>
 Research and implement emerging AI/ML technologies within data center, such as federated learning, reinforcement learning and generative AI, to enhance operational resilience
 </li>
 <li>
 Evaluate and improve the performance of existing AI models within data center, incorporating adaptive learning techniques to refine predictions over time
 </li>
 <li>
 Ensure AI/ML models in data center are continuously updated with live data streams, adapting to infrastructure expansions, workload shifts and market trends
 </li>
 <li>
 Extract findings from AI-driven analysis and present actionable insights to executives at Khazna and CCC leadership to inform strategic decision-making
 </li>
 <li>
 Support in defining and prioritize potential data center operational scenarios, using AI simulations to model the likelihood and impact of various facility and market dynamics
 </li>
 <li>
 Update data center models and forecasts based on real-time data, industry benchmarks and shifting internal prioritises to maintain competitive intelligence
 </li>
 <li>
 Drive automation in incident response and capacity forecasting, integrating AI insights with CAFM and orchestration tools for proactive management
 </li>
 <li>
 Ensure AI governance, model explainability and compliance with regulatory standards in data center operations, including SOC 2, ISO 27001 and Uptime Institute guidelines as recommended
 </li>
 </ul>
 
 
 
 
 
 Minimum Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s or Bachelor&rsquo;s in Computer Science, AI/ML (or) Data Science
 </li>
 <li>
 Certifications in AI/ML or data science preferred (e.g., Google AI, Microsoft AI)
 </li>
 <li>
 3-5 years of experience in AI/ML model development, data science or analytics
 </li>
 <li>
 Proficiency in Python, TensorFlow or PyTorch
 </li>
 <li>
 Hands-on experience with cloud-based ML platforms (AWS SageMaker, Azure ML, Google AI)
 </li>
 <li>
 Strong background in statistical modeling, probability and data structures
 </li>
 <li>
 Experience with big data frameworks like Apache Spark or Hadoop
 </li>
 </ul>
 
 
 
 
 
 Additional Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Ability to translate complex data into actionable insights for business and operational teams
 </li>
 <li>
 Expertise in explaining AI/ML concepts to non-technical leadership, ensuring alignment between data science and business strategy
 </li>
 <li>
 Work effectively across Engineering and Operations, adapting models to shifting business priorities and technological advancements
 </li>
 </ul>
 
 
 
 
 
 Trainings/Certifications Preferred:
 
 
 
 
 
 <ul>
 <li>
 Google TensorFlow Developer Certification
 </li>
 <li>
 AWS Certified Machine Learning &ndash; Specialty
 </li>
 <li>
 Microsoft Certified: Azure AI Engineer Associate
 </li>
 </ul>
 
 
</div>

Data Scientist (AI/ML)

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