478 Data Science Manager jobs in Saudi Arabia

Data Science Manager

Riyadh, Riyadh Different Technologies Pty Ltd.

Posted 1 day ago

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Job Description

About the team:

Hudhud Maps Data Science team’s mission is to harness the power of data to build intelligent solutions that elevate the user experience, optimize decision-making, and improve operational efficiencies. As a leader in this team, you will be at the forefront of using cutting-edge AI and machine learning models to solve complex challenges in the MENA region. You’ll work with and hire some of the brightest data science talent, leveraging state-of-the-art technologies such as machine learning, optimization, deep learning, and NLP to transform how cities are mapped and navigated, all while driving real-time impact through our in-house AI and data infrastructure.

What you will do:

  • Develop a vision and thought leadership in the space of mapping and location-based intelligence, gaining deep expertise in this domain.
  • Define a clear roadmap for the data science teams, ensuring alignment with both product and business goals, while driving team growth and development.
  • Lead and scale a distributed Data Science team, collaborating with cross-functional teams to solve challenges in multiple subdomains, including POI (Points of Interest) collection and enrichment, road and map features generation, search, personalization and real-time navigation.
  • Develop innovative AI models and data strategies to solve previously unsolvable problems, unlocking new opportunities for Hudhud Maps to deliver exceptional value to users.
  • Collaborate with leadership to ensure data science initiatives directly contribute to the company’s strategic goals and have a meaningful impact on the organization.
  • Partner with engineering and product teams to deliver major cross-functional projects that push the boundaries of mapping technology.
  • Reimagine and reinvent how mapping and navigation are experienced in the region using AI-driven approaches.
  • Foster collaboration with external AI communities, universities, and the broader tech ecosystem in the MENA region to raise the bar for applied AI.

What you will need:

  • An advanced degree in a quantitative field such as computer science, statistics, economics, or mathematics.
  • At least 8+ years of professional experience working in data science and machine learning teams.
  • Strong experience in building, managing, and growing data science teams is essential.
  • A proven track record of delivering high-impact AI solutions and successfully leading cross-functional projects.
  • Experience launching new products and continuously improving them over time.
  • Demonstrated ability to attract, retain, and nurture top-tier talent.
  • A passion for fostering a culture of ownership, collaboration, and results.
  • Excellent leadership, communication, critical thinking, and judgment skills.
  • A strong motivation to make an impact and elevate the AI landscape in the region.
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Data Science Manager

Riyadh, Riyadh SWATX

Posted 25 days ago

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3 weeks ago Be among the first 25 applicants

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

  • Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
  • Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
  • Oversee the design and implementation of innovative data science projects that drive value for the organization
  • Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
  • Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
  • Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
  • Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
  • Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate

Requirements

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
  • Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
  • Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
  • Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
  • Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
  • Excellent project management skills and ability to prioritize tasks in a fast-paced environment
  • Strong analytical and problem-solving skills with attention to detail
  • Exceptional communication skills, both verbal and written, in English and Arabic
  • Proven capability to drive collaboration across teams and influence senior stakeholders

Preferable Certificates:

  • Certified Data Scientist (CDS)
  • Microsoft Certified: Azure Data Scientist Associate
  • Google Cloud Professional Data Engineer

Seniority level
  • Seniority level Mid-Senior level
Employment type
  • Employment type Full-time
Job function
  • Job function Information Technology
  • Industries IT Services and IT Consulting

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Data Science Manager

Riyadh, Riyadh Different Technologies Pty Ltd.

Posted today

Job Viewed

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Job Description

About the team:

Hudhud Maps Data Science team’s mission is to harness the power of data to build intelligent solutions that elevate the user experience, optimize decision-making, and improve operational efficiencies. As a leader in this team, you will be at the forefront of using cutting-edge AI and machine learning models to solve complex challenges in the MENA region. You’ll work with and hire some of the brightest data science talent, leveraging state-of-the-art technologies such as machine learning, optimization, deep learning, and NLP to transform how cities are mapped and navigated, all while driving real-time impact through our in-house AI and data infrastructure.

What you will do:

  • Develop a vision and thought leadership in the space of mapping and location-based intelligence, gaining deep expertise in this domain.
  • Define a clear roadmap for the data science teams, ensuring alignment with both product and business goals, while driving team growth and development.
  • Lead and scale a distributed Data Science team, collaborating with cross-functional teams to solve challenges in multiple subdomains, including POI (Points of Interest) collection and enrichment, road and map features generation, search, personalization and real-time navigation.
  • Develop innovative AI models and data strategies to solve previously unsolvable problems, unlocking new opportunities for Hudhud Maps to deliver exceptional value to users.
  • Collaborate with leadership to ensure data science initiatives directly contribute to the company’s strategic goals and have a meaningful impact on the organization.
  • Partner with engineering and product teams to deliver major cross-functional projects that push the boundaries of mapping technology.
  • Reimagine and reinvent how mapping and navigation are experienced in the region using AI-driven approaches.
  • Foster collaboration with external AI communities, universities, and the broader tech ecosystem in the MENA region to raise the bar for applied AI.

What you will need:

  • An advanced degree in a quantitative field such as computer science, statistics, economics, or mathematics.
  • At least 8+ years of professional experience working in data science and machine learning teams.
  • Strong experience in building, managing, and growing data science teams is essential.
  • A proven track record of delivering high-impact AI solutions and successfully leading cross-functional projects.
  • Experience launching new products and continuously improving them over time.
  • Demonstrated ability to attract, retain, and nurture top-tier talent.
  • A passion for fostering a culture of ownership, collaboration, and results.
  • Excellent leadership, communication, critical thinking, and judgment skills.
  • A strong motivation to make an impact and elevate the AI landscape in the region.
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Senior Data Science Manager

Riyadh, Riyadh SWATX

Posted 4 days ago

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Job Description

Overview

SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.


Responsibilities

  • Develop and implement the overall data science vision, strategy, and framework to align with organizational goals

  • Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning

  • Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights

  • Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency

  • Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges

  • Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies

  • Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth

  • Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies


Requirements

  • Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field

  • A minimum of 7+ years of experience in data science or analytics, with 3+ years in a leadership role managing data science teams

  • Proficient in programming languages such as Python, R, and experience with big data technologies (e.g., Hadoop, Spark)

  • Deep understanding of machine learning techniques, statistical modeling, and advanced analytics methodologies

  • Proven track record of successfully leading and delivering large-scale data science projects that drive business value

  • Expertise in data visualization tools (e.g., Tableau, Power BI) for effectively communicating complex analyses

  • Strong project management skills and ability to lead teams in a fast-paced environment

  • Excellent analytical and strategic thinking skills, with a focus on results

  • Outstanding communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders in English and Arabic


Preferable Certificates

  • Certified Data Scientist (CDS)

  • Microsoft Certified: Azure Data Scientist Associate

  • Google Cloud Professional Data Engineer


Seniority level

  • Mid-Senior level


Employment type

  • Full-time


Job function

  • Information Technology


Industries

  • IT Services and IT Consulting


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Related jobs

  • Senior Manager - Advanced Analytics (COR - 623)

  • Data Scientist - QuantumBlack, AI by McKinsey

  • Lead/ Staff Data Scientist (Bangkok based, relocation provided)

  • Senior Data Scientist (Bangkok based, relocation provided)

  • Lead DS (Data Scientist) Bangkok based, Relocation provided


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Data Analysis Specialist

Riyadh, Riyadh تكامل القابضة

Posted 2 days ago

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Job Description

Collect, clean, and transform structured and unstructured datasets from multiple sources (databases, APIs, data warehouses, and flat files) for analysis.

Develop, maintain, and optimize SQL queries, stored procedures, and ETL pipelines to ensure reliable data flows.

Perform statistical analysis, hypothesis testing, and predictive modeling to extract actionable insights and support decision-making.

Create advanced dashboards and reports using tools such as Power BI, Tableau, or Looker, ensuring KPIs are tracked and visualized effectively.

Collaborate with data engineers and business stakeholders to define data requirements and ensure alignment between technical outputs and business needs.

Apply data mining, clustering, and regression techniques to detect patterns, trends, and anomalies across large datasets.

Document methodologies, maintain reproducibility of analysis, and adhere to best practices for version control and code management (e.g., Git).

Job Requirements

A degree in computer science, data science or any other relevant field. A master's is a plus

4 years of experience in relevant fields

Data Engineering & Querying: Strong proficiency in SQL

Visualization & Reporting: Advanced skills in BI tools (Power BI, Tableau, Looker, or equivalent) and ability to design performance-optimized dashboards.

Data Wrangling: Ability to handle raw, messy data—cleaning, normalizing, feature engineering, and managing large datasets with performance considerations.

Cloud & Analytics Tools: Familiarity with cloud platforms (GCP BigQuery, AWS Redshift, Azure Synapse) and distributed data systems (Spark, Hadoop) is a plus as well as hands-on experience on Dataiku is a plus.

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Data Analysis Specialist

Lucid Motors Middle East

Posted 12 days ago

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Job Description

Leading the future in luxury electric and mobility

At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.

We plan to lead in this new era of luxury electric by returning to the fundamentals of great design where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.

Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, were providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.

Summary

Data Analysis Specialist is responsible for all Quality data collection, analysis and visualization, developing and maintaining Quality Dashboards and KPIs.

Responsibilities

  • Collect and capture all Data and KPIs related to Manufacturing Quality.
  • Develop Quality Dashboard using Lucid Applications and Tools to ensure data and KPIs visualization.
  • Conduct data analysis and deep dives to visualize priorities and top contributors that require focus.
  • Identify data and Quality issues trends versus Problem Solving.
  • Track effectiveness of actions plans through data.
  • Maintain all Quality Dashboards updated and accurate.
  • Escalate urgent issues and prioritize business needs.
  • Provide required support to all Quality functions regarding data collection, visualization and analysis.
  • Develop regular reports for different management levels.
  • Prepare reporting for weekly and monthly Quality reviews.

Required Skills & Qualifications

  • Engineer degree in Industrial, data management or equivalent.
  • Previous experience with OEM is a plus.
  • Strong knowledge of MS Office tools (MS-Project, Word, Excel, and PowerPoint)
  • Experience with Tableau and SmartSheet is a strong plus.
  • Experience with the Manufacturing Execution System Application/Environment is a strong plus.
  • Experience with Sales Force Application is a strong plus.
  • Detail-oriented with strong record-keeping and organizational skills.
  • Excellent written and verbal communication skills and people skills, comfortable presenting ideas and issues to peer groups and leaders.
  • Positive energy and attitude.
  • Innovative Mindset.
  • Demonstrated ability to work under high demanding level.
  • Ability to work in a dynamic, fast-paced environment.

By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.

To all recruitment agencies : Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.

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Data Analysis Specialist - أخصائي تحليل بيانات

Riyadh, Riyadh Saudi Patient Safety Center - المركز السعودي لسلامة المرضى

Posted 2 days ago

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Job Description

Data Analysis Specialist - أخصائي تحليل بيانات Data Analysis Specialist - أخصائي تحليل بيانات

Direct message the job poster from Saudi Patient Safety Center - المركز السعودي لسلامة المرضى

Job Purpose - الغرض من الوظيفة

The Data Analyst will play a key role in improving the quality of patient safety data at the Saudi Patient Safety Center (SPSC). By applying advanced statistical and analytical methods, the analyst will generate evidence-based reports, develop national patient safety KPIs, and support decision-making at both national and international levels - سيساهم محلل البيانات بدور محوري في تحسين جودة بيانات سلامة المرضى في المركز السعودي لسلامة المرضى ومن خلال تطبيق الأساليب الإحصائية والتحليلية المتقدمة، سيقوم المحلل بإعداد تقارير قائمة على الأدلة، وتطوير مؤشرات أداء وطنية لسلامة المرضى، ودعم عملية اتخاذ القرار على المستويين الوطني والدولي. ويسهم هذا الدور بشكل مباشر في تعزيز مكانة المركز كجهة وطنية رائدة ذات شراكات دولية ومعترف بها من قبل منظمة الصحة العالمية (WHO).

Responsibilities - المسؤوليات

  • Collect, clean, analyze, and present findings of healthcare data using advanced statistical tools and methods - جمع البيانات الصحية وتنظيفها وتحليلها وعرض نتائجها باستخدام أدوات وأساليب إحصائية متقدمة.
  • Prepare reports highlighting trends, risks, and recommendations for performance improvement - إعداد تقارير تسلط الضوء على الاتجاهات والمخاطر والتوصيات اللازمة لتحسين الأداء.
  • Collaborate with clinical teams to interpret findings and implement evidence-based improvements - التعاون مع الفرق السريرية لتفسير النتائج وتطبيق التحسينات المبنية على الأدلة.
  • Support research studies and national/international projects related to patient safety - دعم الدراسات البحثية والمشاريع الوطنية والدولية ذات الصلة بسلامة المرضى.
  • Develop, monitor, and evaluate patient safety Key Performance Indicators (KPIs) - تطوير ومتابعة وتقييم مؤشرات الأداء الرئيسة (KPIs) الخاصة بسلامة المرضى.
  • Ensure accuracy, integrity, and quality assurance of data before reporting - ضمان دقة ونزاهة البيانات وجودتها قبل نشرها أو الإبلاغ عنها.
  • Contribute to strengthening SPSC’s international reporting and benchmarking in line with WHO standards - الإسهام في تعزيز التقارير الدولية والمقارنات المرجعية للمركز بما يتماشى مع معايير منظمة الصحة العالمية.
  • Create dashboards and visualization tools (Power BI/Tableau) to facilitate decision-making in patient safety - إنشاء لوحات متابعة وأدوات عرض بيانية (Power BI/Tableau) لدعم عملية اتخاذ القرار في مجال سلامة المرضى.

Requirement and Qualifications - المتطلبات والمؤهلات

  • Bachelor or Master’s degree in Biostatistics, Epidemiology, Health Data Science, or a related field - درجة الباكلوريوس او الماجستير في الإحصاء الحيوي، علم الأوبئة، علوم بيانات الصحة، أو مجال ذي صلة.
  • Patient Safety certification - شهادة في سلامة المرضى.
  • Certified Professional in Healthcare Quality (CPHQ) - أخصائي معتمد في جودة الرعاية الصحية
  • Machine Learning specialization - تخصص في التعلم الآلي.
  • Lean Six Sigma Green/Black Belt - لين سقما
  • Certified Health Data Analyst (CHDA) - محلل بيانات صحية معتمدة
  • Proficiency in statistical software and tools such as SAS, R, SPSS, Power BI, or Python - إجادة استخدام البرمجيات والأدوات الإحصائية مثل SAS، R، SPSS، Power BI أو Python.
  • Strong SQL and data querying from relational databases or cloud-based environments - إتقان SQL واستخراج البيانات من قواعد البيانات العلائقية أو البيئات السحابية.
  • Advanced analytical and problem-solving skills, with ability to extract meaningful insights - مهارات تحليلية متقدمة وحل المشكلات مع القدرة على استنتاج رؤى ذات مغزى.
  • Strong reporting skills with ability to communicate complex findings clearly - مهارات قوية في إعداد التقارير وعرض النتائج المعقدة بشكل واضح.
  • Ensure data accuracy, quality, and security in compliance with internal policies and data governance standards - ضمان دقة وجودة وأمن البيانات بما يتماشى مع السياسات الداخلية ومعايير حوكمة البيانات.
  • Cross-functional Collaboration - القدرة على التعاون الفعال مع فرق متعددة التخصصات.
  • Strong communication and data presentation abilities for clinical and non-clinical audiences - قدرات تواصل متميزة وعرض البيانات بطريقة مناسبة للجمهور السريري وغير السريري.
  • High attention to detail and accuracy in data work - دقة عالية واهتمام بالتفاصيل في العمل مع البيانات.
  • Ability to collaborate effectively in multidisciplinary teams - القدرة على التعاون والعمل الجماعي بفعالية.

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Data Analysis and Visualization Facilitator (Consultant)

The KPI Institute

Posted 25 days ago

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Job Description

workfromhome
Data Analysis and Visualization Facilitator (Consultant)

Join to apply for the Data Analysis and Visualization Facilitator (Consultant) role at The KPI Institute .

The KPI Institute is a leading global research institute specialized in business performance. It operates research programs in 14 practice domains, ranging from strategy and KPIs to employee performance and from customer service to innovation performance. You can learn more about us by visiting our website: Worldwide Performance Excellence Solutions | The KPI Institute.

Maentae is an educational hub aimed at supporting its customers in reaching their learning goals through various training programs that keep individuals updated with current trends and the fast-moving world of work.

Maentae is part of The KPI Institute, which specializes in business performance research across 12 practice domains, including strategy, KPIs, employee performance, customer service, and innovation.

Role Overview

We are seeking a dynamic and experienced Data Analysis and Visualization Trainer/Consultant to design and deliver high-quality training sessions for professionals seeking to enhance their data skills. The ideal candidate will have a strong background in data analytics, visualization tools, and adult learning methodologies. This role involves curriculum development, facilitation of training (in-person and/or online), and providing expert guidance on best practices in data analysis and communication.

Key Responsibilities
  • Design and deliver interactive training programs focused on data analysis and visualization
  • Develop training materials, practical exercises, and real-world case studies
  • Provide hands-on instruction using tools such as Excel, Power BI, Tableau, Python (Pandas/Matplotlib/Seaborn), or R (ggplot2, Shiny), depending on client needs
  • Customize content based on participant skill levels and organizational goals
  • Assess participants’ progress and provide constructive feedback
  • Support clients in building internal capacity for data-driven decision-making
  • Stay updated with trends and advancements in data analytics and visualization
Qualifications
  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field
  • Proven experience delivering professional training or workshops in data analysis and visualization
  • Proficiency in one or more data visualization tools (e.g., Tableau, Power BI, Looker) and programming languages (e.g., Python, R)
  • Experience with data wrangling, dashboard design, and storytelling with data
  • Strong communication and presentation skills
  • Experience working with diverse learners and tailoring training to meet varied needs
  • Having Data Analysis/Visualization Certification
  • (Preferred) Experience in curriculum design and adult learning principles
Language

English or Arabic

What We Offer
  • Competitive compensation based on experience and scope
  • Flexible and remote work opportunities
  • Opportunities to work on high-impact projects with diverse clients
  • A collaborative and innovative learning environment
  • Ongoing support for certification and professional growth
Application info required
  • CV
  • Cover letter

Contract/Engagement type: Freelance/Contractual

Starting date: To be discussed after an interview

Location: Hybrid

Seniority level
  • Mid-Senior level
Employment type
  • Contract
Job function
  • Information Technology
Industries
  • Research Services
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Senior Machine Learning Engineer

Riyadh, Riyadh Different Technologies Pty Ltd.

Posted 1 day ago

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Job Description

As a Senior Machine Learning Engineer specializing, you will lead the development and implementation of machine learning algorithms and models to enhance our mapping and location-based services. You will be responsible for leveraging machine learning techniques to extract insights, automate processes, and improve the accuracy and relevance of our map data.

Key Responsibilities:

  1. Algorithm Development: Lead the design, development, and optimization of machine learning algorithms and models for various mapping applications, including data analysis, feature extraction, image processing, and predictive modeling.
  2. Data Processing and Analysis: Collaborate with data engineers to preprocess, clean, and analyze map data, including satellite imagery, LiDAR data, and point cloud data, to extract relevant features and patterns.
  3. Model Training and Evaluation: Train, validate, and evaluate machine learning models using large-scale datasets to achieve high accuracy, robustness, and scalability for mapping applications, such as road detection, object recognition, and semantic segmentation.
  4. Integration and Deployment: Integrate machine learning models into existing mapping systems and workflows, ensuring seamless deployment and interoperability with other software components. Collaborate with software engineers to develop APIs and interfaces for model integration.
  5. Performance Optimization: Optimize machine learning algorithms and models for performance, efficiency, and scalability, including algorithm parallelization, hardware acceleration, and deployment on cloud platforms.
  6. Research and Innovation: Stay updated on the latest advancements in machine learning, computer vision, and geospatial technologies, and apply innovative techniques to solve mapping-related challenges and drive continuous improvement.

Qualifications:

  • Master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field.
  • 5 years of experience in machine learning research and development, with a focus on computer vision, geospatial analysis, or mapping applications.
  • Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV.
  • Strong programming skills in Python, C++, or another relevant language, with experience in software development and version control systems.
  • Experience with geospatial data processing and analysis tools, such as GDAL, PostGIS, and QGIS.
  • Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
  • Effective communication and leadership skills, with experience mentoring junior team members and collaborating with cross-functional teams.
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Senior Machine Learning Engineer

Riyadh, Riyadh Different Technologies Pty Ltd.

Posted today

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Job Description

As a Senior Machine Learning Engineer specializing, you will lead the development and implementation of machine learning algorithms and models to enhance our mapping and location-based services. You will be responsible for leveraging machine learning techniques to extract insights, automate processes, and improve the accuracy and relevance of our map data.

Key Responsibilities:

  1. Algorithm Development: Lead the design, development, and optimization of machine learning algorithms and models for various mapping applications, including data analysis, feature extraction, image processing, and predictive modeling.
  2. Data Processing and Analysis: Collaborate with data engineers to preprocess, clean, and analyze map data, including satellite imagery, LiDAR data, and point cloud data, to extract relevant features and patterns.
  3. Model Training and Evaluation: Train, validate, and evaluate machine learning models using large-scale datasets to achieve high accuracy, robustness, and scalability for mapping applications, such as road detection, object recognition, and semantic segmentation.
  4. Integration and Deployment: Integrate machine learning models into existing mapping systems and workflows, ensuring seamless deployment and interoperability with other software components. Collaborate with software engineers to develop APIs and interfaces for model integration.
  5. Performance Optimization: Optimize machine learning algorithms and models for performance, efficiency, and scalability, including algorithm parallelization, hardware acceleration, and deployment on cloud platforms.
  6. Research and Innovation: Stay updated on the latest advancements in machine learning, computer vision, and geospatial technologies, and apply innovative techniques to solve mapping-related challenges and drive continuous improvement.

Qualifications:

  • Master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field.
  • 5 years of experience in machine learning research and development, with a focus on computer vision, geospatial analysis, or mapping applications.
  • Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV.
  • Strong programming skills in Python, C++, or another relevant language, with experience in software development and version control systems.
  • Experience with geospatial data processing and analysis tools, such as GDAL, PostGIS, and QGIS.
  • Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
  • Effective communication and leadership skills, with experience mentoring junior team members and collaborating with cross-functional teams.
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