data engineer

Capgemini

<div><div><div><p>RIYADH</p><div>
Data Engineer</div><p>
</p></div></div><div></div><div><div><div><div><div><p>
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.</p><div><div><div><div>
Your Role</div></div><div><p>
We are looking for a skilled and detail-oriented Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will ensure the efficient flow of data across systems to support analytics and business intelligence in manufacturing operations.</p><p><b>
You will be accountable for:</b></p><ul><li>
Designing, developing, and maintaining robust ETL/ELT pipelines for data ingestion and transformation.</li><li>
Optimizing data storage and retrieval for performance and scalability.</li><li>
Ensuring data quality, integrity, and security across systems.</li><li>
Collaborating with data scientists, analysts, and IT teams to support data needs.</li><li>
Implementing and managing data architecture and infrastructure on cloud or on-prem platforms.</li><li>
Monitoring and troubleshooting data pipeline issues and system performance.</li><li>
Maintaining documentation of data flows, schemas, and system configurations.</li><li>
Supporting real-time data processing and integration with IoT and manufacturing systems.</li></ul></div></div><div><div><div>
Your Profile</div></div><div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or a related field.</li><li>
2&ndash;5 years of experience in data engineering or software development, preferably in manufacturing.</li><li>
Proficiency in SQL, Python, and data pipeline tools (e.g., Apache Airflow, Talend).</li><li>
Experience with cloud data platforms (e.g., Azure Data Factory, AWS Glue, GCP Dataflow).</li><li>
Knowledge of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).</li><li>
Familiarity with big data technologies (e.g., Hadoop, Spark) and real-time streaming (e.g., Kafka).</li><li>
Strong understanding of data modeling, database design, and system integration.</li><li>
Excellent collaboration and communication skills.</li></ul></div></div><div><div><div>
What You&rsquo;ll Love About Working Here
</div></div><div></div><div><div><ul><li><p>Flexible Work Arrangements&mdash;Work remotely or adjust work hours for a balanced lifestyle.
</p></li></ul></div><div><ul><li><p>Career Growth Opportunities&mdash;Access diverse roles and career development programs.
</p></li></ul></div><div><ul><li><p>Training &amp; Certifications&mdash;Equip yourself with valuable certifications in emerging technologies.
</p></li></ul></div></div></div></div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div><div><div><div>
<div><div>Ref. code</div><div>
284564-en_US</div></div><div><div>
Posted on</div><div>
17 Jul 2025</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Fixed Term Contract</div></div><div><div>
Location</div><div>
RIYADH</div></div><div><div>
Business unit</div><div>
Engineering and RandD Services</div></div><div><div>
Brand</div><div>
Capgemini Engineering</div></div><div><div>
Professional communities</div><div>
Software Engineering</div></div></div></div></div></div></div></div></div><p></p>

Data Engineer

Denodo

<div>
 Job description:
 <br/>
 <br/>
 <strong>
  Job Description
 </strong>
 <p>
  Are you looking to kick-start your career within an international software product company? Then our Data Engineer role for fresh graduates will be a fantastic opportunity for you.
 </p>
 <p>
  Denodo is a fantastic place to begin your career. We are the leader in Data Virtualization and we are embracing a culture that puts people first, where everyone has the opportunity to own their career and make a contribution towards the modern change, and is given the space to grow personally and professionally.
 </p>
 <p>
  At Denodo we focus on attracting, retaining and developing people who are committed to doing their best and deliver on their promises. We are looking for people who value different perspectives, who build sustainable relationships and who dare to shape the future and want to make a difference.
 </p>
 <p>
  Your career with us will combine cutting edge technology, exposure to worldwide clients across all industries (Financial Services, Automotive, Insurance, Pharma, etc.), exciting growth paths and direct mentorship.
 </p>
 <p>
  Your mission will be to help and assist our clients and partners to realize their full potential through accelerated adoption and productive use of Denodo&rsquo;s Data Virtualization capability to provide modern solutions for agile data delivery to empower people.&nbsp;
 </p>
 <strong>
  Job Responsibilities &amp; Duties
 </strong>
 <ul>
  <li>
   Education, coaching and support during the introduction as well as ongoing projects of the Denodo Platform to achieve high level of client satisfaction.
  </li>
  <li>
   Diagnose and resolve client&rsquo;s inquiries related to operating Denodo software products in their environment.
  </li>
  <li>
   Participate in problem escalation and call prevention projects to help clients and other technical specialists increase their efficiency when using Denodo products.
  </li>
  <li>
   Contribute to knowledge management activities and promote best practices for project execution.
  </li>
  <li>
   Implement product demos and pilots to showcase Data Virtualization in enterprise scenarios, cloud deployments and Big Data projects.
  </li>
  <li>
   Provide timely, prioritized and complete customer-based feedback to Product Management, Sales, Support and/or Development regarding client&rsquo;s business cases, requirements and issues.
  </li>
 </ul>
 <strong>
  Desired Skills &amp; Experience
 </strong>
 <p>
  <strong>
   Required Skills
  </strong>
 </p>
 <ul>
  <li>
   Experience Range: Open to Fresh Graduates (must be top-ranked and exceptionally qualified)
  </li>
  <li>
   University Degree relating to information systems or computer science (Bachelor or Master)
  </li>
  <li>
   Understanding of Data Integration flavours
  </li>
  <li>
   Solid understanding of SQL and good grasp of relational and analytical database management theory and practice.
  </li>
  <li>
   Good knowledge of software development and architectural patterns.
  </li>
  <li>
   Technical skills include Java development, JDBC, XML, Web Service related APIs, experience with version control systems (e.g. SVN, git).
  </li>
  <li>
   Experience in Windows &amp; Linux (and UNIX) operating systems in server environments.
  </li>
  <li>
   Personal and Relationship qualities: Professional curiosity and the ability to enable yourself in new technologies and tasks. Active listener. Curiosity and continuous learning. Creativity. Team worker.
  </li>
  <li>
   Communications: Good written/verbal communication skills in English (other international languages a plus) are essential for interaction with clients, making presentations, attending meetings and writing technical documentation.
  </li>
  <li>
   Willingness to travel.
  </li>
 </ul>
 <p>
  <strong>
   Non-mandatory Skills ( Nice to have)
  </strong>
 </p>
 <ul>
  <li>
   Basic experience in Big Data, NoSQL, and InMemory environments is welcome.
  </li>
  <li>
   Basic experience in cloud environments (AWS, Azure, GCP...) is welcome.
  </li>
  <li>
   Foreign language skills are a plus.
  </li>
 </ul>
</div>


Associate Data Engineer

Envision Employment Solutions

Envision Employment Solutions is currently looking for a Data Engineer (Saudi National) for one of our partners, a global leader in the IT Services and IT Consulting.
<br><br>
<b>Job Summary:</b><br>
This is a full-time, on-site role for a Data Engineer located in Riyadh. The Data Engineer will be responsible for designing, building, and managing scalable data pipelines, performing data integration, and developing data models for optimization. The role involves building ETL processes, maintaining data warehouses, and collaborating with cross-functional teams to deliver data-driven solutions that support business operations and analytics.
<br><br>
<b>Requirements:</b><br>
<ul>
<li>Bachelor's degree in Computer Science, Data Science, or related fields</li>
<li>Proficiency in Data Engineering and Data Modeling</li>
<li>Experience with Extract, Transform, Load (ETL) processes and Data Warehousing</li>
<li>Strong skills in Data Analytics and working with large-scale datasets</li>
<li>Proficiency in programming languages commonly used in data engineering (e.g., Python, SQL, or Java)</li>
<li>Knowledge of cloud platforms and big data tools (e.g., AWS, Azure, Hadoop) is a plus</li>
<li>Strong problem-solving abilities and attention to detail</li>
</ul>


Data Engineer (Saudi National)

Oracle

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Responsible for effective delivery of technical support and installations. This will include break-fix tasks, includes hardware, network, cabling and rack deployments, site planning, problem escalation and managing installations in an Oracle Cloud Infrastructure (OCI) datacenter. Prioritize ticketing queues, resolving escalations, and clearing blocking issues to enable continued delivery of technician activities in accordance with internal polices and service level agreements. Provide 24x7 site coverage for Oracle OCI datacenter sites.
 <br/>
 <br/>
 <ul>
  <li>
   About the candidate: Bachelor of Science degree in Computer Science, Information Systems OR equivalent work experience Experience in IT Infrastructure support and server administration in a mid-sized environment (200 - 1000+ server systems) Experience with data center M&amp;E equipment Demonstrated examples of a drive to dig into the details of a system or process to solve customer problems Experience working in a &ldquo;mission critical operations&rdquo; environment The position involves on-call which means you should have a driving license and be able to reach out to the Data Center site within 60 mins approximately and may require working in cramped spaces or elevated locations. Ability to speak confidently and to communicate clearly in a virtual environment Strong adherence to processes and be a Process Champion Good communication skills (oral &amp; written) and ability to interact professionally with a diverse group of customers and staff Experience providing client-facing, direct customer support and service. Ability to work productively in remote cross-functional teams or resourcefully and independently as an individual Highly service-oriented, reliable, responsible, self-motivated Good English command
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Data Center experience:
  <br/>
  <br/>
 </strong>
 Basic knowledge of data center design, including electrical and cooling plant &amp; operation
 <br/>
 <br/>
 Basic knowledge of airflow management (hot aisle, cold aisle, containment etc.)
 <br/>
 <br/>
 Rack, stack equipment including commissioning of new racks
 <br/>
 <br/>
 Strong structured cabling skills on fiber &amp; copper (e.g. looming, term &amp; test)
 <br/>
 <br/>
 <strong>
  Required systems &amp; hardware expertise:
  <br/>
  <br/>
 </strong>
 Systems administration (Linux and/or Windows Servers)
 <br/>
 <br/>
 Hardware repair, diagnosis &amp; break / fix
 <br/>
 <br/>
 Networking fundamentals (DNS, TCP/IP, basic troubleshooting)
 <br/>
 <br/>
 IT Hardware Concepts (RAID, SAN, x86 architecture, SCSI, FC, ethernet, iLO)
 <br/>
 <br/>
 Base Operating System Installs and configuration
 <br/>
 <br/>
 Core OS Services: SSH, Telnet, DHCP etc.
 <br/>
 <br/>
 <ul>
  <li>
   Role Responsibilities and Requirements:
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Act HW as support expert liaison to other technical teams &amp; non-technical teams (e.g. networking, compute, compliance, business operations)
 <br/>
 <br/>
 Understand internal customer problems and provide technical solutions in a timely manner
 <br/>
 <br/>
 Participate in the installation, monitoring, maintenance, support, and optimization of all production server hardware
 <br/>
 <br/>
 System board level repair and fault diagnosis to SLAs
 <br/>
 <br/>
 Planning and commissioning new rack positions
 <br/>
 <br/>
 Involvement with the design and commissioning of new whitespaces
 <br/>
 <br/>
 Structured cabling installation is a significant part of this position
 <br/>
 <br/>
 Keep up with the latest technologies and apply them appropriately
 <br/>
 <br/>
 Adherence to defined Health &amp; Safety processes at all times
 <br/>
 <br/>
 Working as part of a multi-disciplinary team without friction
 <br/>
 <br/>
 Additional on premise work at customer locations maybe required
 <br/>
 <br/>
 <ul>
  <li>
   Required Skills
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Customer Service, Good Communication Skills, IT infrastructure, Linux Server, Hardware Technical Support, Troubleshooting
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Perform performance trend analysis and manage the server/network capacity. Propose client configuration and implement technical solutions to enhance and/or troubleshoot the system. Work with others to define, coordinate vendor purchase needs. Responsible for support documentation as well.
 <br/>
 <br/>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Career Level - IC3
 <br/>
 <br/>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 <br/>
 <br/>
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 <br/>
 <br/>
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 <br/>
 <br/>
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 <br/>
 <br/>
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>


Data Center Engineer

Amco IT Systems

<p><b>Job Title: Snowflake Developer</b></p><p><b>Location: Saudi Arabia</b></p><p><b>Experience: 3&ndash;5 years</b></p><p><b>Job Summary:</b></p><p>We&rsquo;re looking for a Snowflake Developer to build and optimize data pipelines and warehouse solutions. The ideal candidate should have hands-on experience with Snowflake architecture, strong SQL skills, and expertise in data modeling and workflow automation.</p><p><b>Key Responsibilities:</b></p><ul><li>Design and optimize Snowflake-based data pipelines.</li><li>Implement Snowpipe, Streams, Tasks, and Virtual Warehouses.</li><li>Automate workflows using Airflow or Luigi.</li><li>Integrate Snowflake with GCP and other cloud platforms.</li></ul><p><b>Requirements</b>:</p><ul><li>3&ndash;5 years&rsquo; experience in data engineering.</li><li>Strong SQL and data warehouse skills.</li><li>Proficiency in Snowflake and cloud integrations (preferably GCP).</li></ul><p>Job Type: Contract<br/>Contract length: 6 months</p><p>Ability to commute/relocate:</p><ul><li>Riyadh: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Application Question(s):</p><ul><li>What is your Nationality?</li><li>What is your notice period in days?</li><li>What is your current monthly salary?</li><li>What is your expected monthly salary in SAR?</li><li>How many years of experience do you have as a Snowflake developer?</li><li>Are you comfortable with 6 months contract (extendable)</li></ul><p>Language:</p><ul><li>Arabic (Required)</li></ul>

Snowflake Developr

<div><div><div><p>RIYADH</p><div>
Data Scientist</div><p>
</p></div></div><div></div><div><div><div><div><div><p>
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.</p><div><div><div><div>
Your Role</div></div><div><p>
We are seeking a highly analytical and innovative Data Scientist to join our team. The ideal candidate will be responsible for extracting insights from complex datasets, building predictive models, and supporting data-driven decision-making across manufacturing operations.</p><p><b>
Key responsibilities of this role:</b></p><ul><li>
Collect, clean, and preprocess structured and unstructured data from various sources.</li><li>
Develop and implement statistical models, machine learning algorithms, and data mining techniques.</li><li>
Perform exploratory data analysis to identify trends, patterns, and anomalies.</li><li>
Translate business problems into analytical solutions and communicate findings effectively.</li><li>
Collaborate with cross-functional teams to integrate data science solutions into business processes.</li><li>
Create visualizations and dashboards to present insights to stakeholders.</li><li>
Continuously monitor model performance and update models as needed.</li><li>
Document methodologies, experiments, and results for reproducibility and knowledge sharing.</li></ul></div></div><div><div><div>
Your Profile</div></div><div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.</li><li>
2&ndash;5 years of experience in data science or advanced analytics, preferably in a manufacturing context.</li><li>
Proficiency in Python, R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow).</li><li>
Experience with data visualization tools such as Power BI, Tableau, or matplotlib.</li><li>
Strong understanding of statistical analysis, predictive modeling, and data wrangling.</li><li>
Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data technologies.</li><li>
Excellent problem-solving and communication skills.</li><li>
Experience with Agile/Scrum methodologies is a plus.</li></ul></div></div><div><div><div>
What You&rsquo;ll Love About Working Here
</div></div><div></div><div><div><ul><li><p>Flexible Work Arrangements&mdash;Work remotely or adjust work hours for a balanced lifestyle.
</p></li></ul></div><div><ul><li><p>Career Growth Opportunities&mdash;Access diverse roles and career development programs.
</p></li></ul></div><div><ul><li><p>Training &amp; Certifications&mdash;Equip yourself with valuable certifications in emerging technologies.
</p></li></ul></div></div></div></div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div><div><div><div>
<div><div>Ref. code</div><div>
284565-en_US</div></div><div><div>
Posted on</div><div>
17 Jul 2025</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Fixed Term Contract</div></div><div><div>
Location</div><div>
RIYADH</div></div><div><div>
Business unit</div><div>
Engineering and RandD Services</div></div><div><div>
Brand</div><div>
Capgemini Engineering</div></div><div><div>
Professional communities</div><div>
Software Engineering</div></div></div></div></div></div></div></div></div><p></p>

Data Scientist

New Metrics

<div>
 <p>
  <strong>
   Join Our Team as a Data Scientist!
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  New Metrics is a leading human-centric transformation consultancy, empowering organizations to enhance employee productivity, maximize customer lifetime value, and achieve sustainable growth. Our integrated approach combines advanced technology, real-time insights from structured and unstructured data, and a deep understanding of human behavior. New Metrics delivers end-to-end solutions across the customer lifecycle&mdash;from acquisition to advocacy&mdash;embedding ESG principles throughout. By leveraging data-driven insights and innovative strategies, we optimize customer journeys, boost loyalty, and enable clients to thrive in competitive, customer-focused markets.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our values&mdash;
  <strong>
   Be Bold, Be Curious, Be Human-Centric
  </strong>
  &mdash;guide everything we do. Our mission is to create meaningful impact by empowering businesses and delivering measurable human value.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Click here to learn more about New Metrics.
 </p>
 <p>
  Click here to apply for the role.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Job
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking a Data Scientist who will lead analytical design, model development, and experimental on across high-impact customer analytics initiatives such as Customer Lifetime Value (CLV), Predictive NPS/CSAT, Churn/Retention, and Customer Segmentation. The ideal candidate has strong hands-on expertise in predictive modelling, large-scale distributed computing (PySpark), and real-world deployment experience. A proven ability to work with large, complex datasets to translate business needs into scalable analytical solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your Main Duties Will Include:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Customer Analytics &amp; Predictive Modelling
  </strong>
 </p>
 <ul>
  <li>
   Build and maintain CLV models (historical and/or predictive) incorporating revenue, costs, engagement signals, and churn/retention.
  </li>
  <li>
   Develop predictive NPS, satisfaction, and churn models to identify high-risk customers and key drivers of experience.
  </li>
  <li>
   Design customer segmentation (value-based, behavioral, RFM, clustering, predictive) to support targeting, campaigns, and product design.
  </li>
  <li>
   Ensure all models are robust, monitored, and explainable, with clear links to business objectives and measurable impact.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Wrangling &amp; Feature Engineering
  </strong>
 </p>
 <ul>
  <li>
   Work with large, complex datasets from multiple sources such as CRM, transactional and interaction data, digital journeys, contact center data, and surveys/VoC.
  </li>
  <li>
   Use PySpark, Python, and SQL to clean, transform, and join data; build scalable feature pipelines.
  </li>
  <li>
   Partner with engineering to productionize models via batch jobs, APIs, and dashboards; ensure reliability and performance.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Evaluation &amp; Explainability
  </strong>
 </p>
 <ul>
  <li>
   Define and track relevant metrics (AUC, F1, uplift, calibration, segment performance, stability, etc.).
  </li>
  <li>
   Use explainability techniques (feature importance, SHAP, or similar) to communicate model behavior clearly.
  </li>
  <li>
   Contribute to documentation, model monitoring, and retraining plans to sustain performance over time.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Stakeholder Engagement &amp; Storytelling
  </strong>
 </p>
 <ul>
  <li>
   Translate business questions into clear analytical problems, hypotheses, and success criteria.
  </li>
  <li>
   Present insights and recommendations to CX, Marketing, Product, Digital, and Operations stakeholders.
  </li>
  <li>
   Prepare concise decks, summaries, and dashboards to support decisions and drive adoption.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience
  </strong>
 </p>
 <ul>
  <li>
   4+ years of hands-on experience in Data Science and Predictive Modelling within established or high-growth organizations.
  </li>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
  </li>
  <li>
   Proven experience in end-to-end delivery of data science solutions&mdash;from problem framing and data preparation to model deployment and monitoring.
  </li>
  <li>
   Demonstrated delivery of at least one (production or advanced PoC) of the following:
  </li>
  <li>
   CLV / Profitability
  </li>
  <li>
   Churn / Propensity
  </li>
  <li>
   Predictive NPS / CSAT
  </li>
  <li>
   Customer segmentation at scale
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Skills (Must-Have)
  </strong>
 </p>
 <ul>
  <li>
   Strong proficiency in Python (pandas, scikit-learn, MLlib, or similar libraries).
  </li>
  <li>
   Strong proficiency in PySpark and working with large datasets on distributed platforms.
  </li>
  <li>
   Advanced SQL skills for complex querying, data transformation, and performance optimization.
  </li>
  <li>
   Experience using Power BI, Tableau, or similar tools for analytics, dashboards, and data storytelling.
  </li>
  <li>
   Experience with MLflow (or similar) for experiment tracking, model versioning, and lifecycle management.
  </li>
  <li>
   Solid understanding and hands-on experience with core Data Science concepts, including:
  </li>
  <li>
   <strong>
    Supervised learning:
   </strong>
   classification, regression, uplift modelling
  </li>
  <li>
   <strong>
    Unsupervised learning:
   </strong>
   clustering, dimensionality reduction
  </li>
  <li>
   Feature engineering, model tuning, and validation
  </li>
  <li>
   Experience working in a cloud or big data environment (Azure, AWS, GCP, Databricks, or similar).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Qualifications (Bonus)
  </strong>
 </p>
 <ul>
  <li>
   Experience with Experience Management platforms such as Medallia, Qualtrics, or similar.
  </li>
  <li>
   Strong practical MLOps habits (monitoring, drift checks, reproducible pipelines, CI/CD collaboration).
  </li>
  <li>
   Exposure to NLP and text analytics (e.g., survey verbatims, call-center transcripts, complaint logs) applied to customer experience or insight use cases.
  </li>
 </ul>
 <p>
  <em>
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You Can Expect From Us
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  At New Metrics, we are committed to creating an inclusive, flexible, human-centric and supportive work environment.
 </p>
 <p>
  When you join our team, you can expect:
 </p>
 <p>
  1. Exceptional trust based culture that fosters inclusion, creativity, and innovation:
 </p>
 <ul>
  <li>
   91% of employees feel engaged, reflecting our ongoing efforts to deliver the best in class employee experience
  </li>
  <li>
   94% of our employees feel included and have a sense of belonging
  </li>
  <li>
   94% of employees trust their manager
  </li>
 </ul>
 <p>
  2. Collaboration with a passionate and high-performing team that values appreciation of individual attributes and diverse perspectives
 </p>
 <p>
  3. Exposure to a global brand known for its commitment to excellence and making a difference in creating human value
 </p>
 <p>
  4. A comprehensive focus on flexibility, wellness and result orientation in operation
 </p>
 <p>
  5. Strong focus on life-long learning and continuous development, along with opportunities to enhance your skills and knowledge
 </p>
 <p>
  6. Equal opportunities for growth and development, supported by subsidized professional qualifications and paid professional memberships to advance your career
 </p>
 <p>
  7. A commitment to environmental sustainability, creating a positive impact on the world around us
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Join our passionate team at New Metrics and make a meaningful impact on the world of experience management! Our values, mission, and culture drive us to create flawless experiences that matter. If you're ready to delve deeper and contribute to our vision, apply now. We can't wait to hear from you!
  </em>
 </p>
</div>


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