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analytical data scientist

Müller's Solutions

<div>
 M&uuml;ller's Solutions is looking for an experienced Data Scientist to join our dynamic team. In this position, you will leverage your analytical and programming skills to transform data into actionable insights that drive business decisions. You will collaborate closely with various departments to develop predictive models, enhance data-driven strategies, and optimize processes using cutting-edge data science techniques.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Analyze vast amounts of structured and unstructured data to derive insights and generate actionable recommendations
 </li>
 <li>
 Develop, implement, and maintain machine learning models to address specific business needs
 </li>
 <li>
 Work alongside stakeholders to define project objectives and translate business requirements into technical tasks
 </li>
 <li>
 Conduct experiments and validate analytical models using appropriate methodologies
 </li>
 <li>
 Create data visualizations and dashboards to effectively communicate technical findings and results to non-technical stakeholders
 </li>
 <li>
 Stay abreast of industry trends and emerging technologies in data science and analytics
 </li>
 <li>
 Ensure data integrity and adherence to data governance principles
 </li>
 <li>
 Mentor junior data analysts and provide guidance on data science best practices
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
 </li>
 <li>
 Proven experience as a Data Scientist or in a similar data-focused role
 </li>
 <li>
 Proficient in programming languages such as Python or R, with demonstrated experience in data manipulation and analysis
 </li>
 <li>
 Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch)
 </li>
 <li>
 Strong skills in data visualization tools (e.g., Tableau, Power BI) for developing clear and actionable insights
 </li>
 <li>
 Strong understanding of statistical methods, modeling techniques, and their practical applications
 </li>
 <li>
 Proficient in SQL for data extraction and manipulation
 </li>
 <li>
 Excellent analytical thinking and problem-solving abilities
 </li>
 <li>
 Strong communication skills, with the ability to convey complex technical concepts in an understandable manner
 </li>
 <li>
 Ability to work both independently and collaboratively within a team
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Why Join Us:
 
 
 Opportunity to work with a talented and passionate team.
 
 
 Competitive salary and benefits package.
 
 
 Exciting projects and innovative work environment.
</div>

Data Scientist

Muller's Solutions

<div>M&uuml;ller's Solutions is looking for an experienced Data Scientist to join our dynamic team. In this position, you will leverage your analytical and programming skills to transform data into actionable insights that drive business decisions. You will collaborate closely with various departments to develop predictive models, enhance data-driven strategies, and optimize processes using cutting-edge data science techniques.<h3 class="jobSectionHeader">
Responsibilities:</h3><ul>
<li>Analyze vast amounts of structured and unstructured data to derive insights and generate actionable recommendations.</li>
<li>Develop, implement, and maintain machine learning models to address specific business needs.</li>
<li>Work alongside stakeholders to define project objectives and translate business requirements into technical tasks.</li>
<li>Conduct experiments and validate analytical models using appropriate methodologies.</li>
<li>Create data visualizations and dashboards to effectively communicate technical findings and results to non-technical stakeholders.</li>
<li>Stay abreast of industry trends and emerging technologies in data science and analytics.</li>
<li>Ensure data integrity and adherence to data governance principles.</li>
<li>Mentor junior data analysts and provide guidance on data science best practices.</li>
</ul>Requirements<ul>
<li>Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.</li>
<li>Proven experience as a Data Scientist or in a similar data-focused role.</li>
<li>Proficient in programming languages such as Python or R, with demonstrated experience in data manipulation and analysis.</li>
<li>Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li>
<li>Strong skills in data visualization tools (e.g., Tableau, Power BI) for developing clear and actionable insights.</li>
<li>Strong understanding of statistical methods, modeling techniques, and their practical applications.</li>
<li>Proficient in SQL for data extraction and manipulation.</li>
<li>Excellent analytical thinking and problem-solving abilities.</li>
<li>Strong communication skills, with the ability to convey complex technical concepts in an understandable manner.</li>
<li>Ability to work both independently and collaboratively within a team.</li>
</ul>Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.</div>

MASTER-WORKS

<div>Master-Works is looking for a skilled Data Scientist with over 3 years of experience to enhance our analytics team. In this role, you will dive deep into data analysis and apply your knowledge of machine learning and statistical techniques to drive business outcomes and support our strategic initiatives.
Key Responsibilities:<ul>
<li>Design and develop robust data models and algorithms to tackle complex business issues.</li>
<li>Perform extensive data analysis to identify insights, patterns, and trends from various data sources.</li>
<li>Implement predictive analytics using machine learning and statistical methods to enhance decision-making.</li>
<li>Collaborate with cross-functional teams to translate business requirements into analytical solutions.</li>
<li>Communicate findings and actionable insights clearly to stakeholders at all levels.</li>
</ul>Join Master-Works to play a pivotal role in leveraging data as a strategic asset and driving our organization forward through data-driven insights.
Requirements<ul>
<li>Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.</li>
<li>3+ years of experience in data science, analytics, or a related field.</li>
<li>Proficient in programming languages such as Python, R, or SQL.</li>
<li>Experience with machine learning frameworks and libraries (e.g., TensorFlow, Scikit-learn).</li>
<li>Strong skills in data visualization tools, such as Tableau or Power BI.</li>
<li>Solid understanding of statistical analysis and modeling techniques.</li>
<li>Effective problem-solving skills and attention to detail.</li>
<li>Strong communication skills to convey complex data concepts to non-technical audiences.</li></ul></div>

Master Works

<div>
 Master-Works is looking for a skilled Data Scientist with over 3 years of experience to enhance our analytics team. In this role, you will dive deep into data analysis and apply your knowledge of machine learning and statistical techniques to drive business outcomes and support our strategic initiatives.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design and develop robust data models and algorithms to tackle complex business issues
 </li>
 <li>
 Perform extensive data analysis to identify insights, patterns, and trends from various data sources
 </li>
 <li>
 Implement predictive analytics using machine learning and statistical methods to enhance decision-making
 </li>
 <li>
 Collaborate with cross-functional teams to translate business requirements into analytical solutions
 </li>
 <li>
 Communicate findings and actionable insights clearly to stakeholders at all levels
 
 
 </li>
 </ul>
 Join Master-Works to play a pivotal role in leveraging data as a strategic asset and driving our organization forward through data-driven insights.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field
 </li>
 <li>
 3+ years of experience in data science, analytics, or a related field
 </li>
 <li>
 Proficient in programming languages such as Python, R, or SQL
 </li>
 <li>
 Experience with machine learning frameworks and libraries (e.g., TensorFlow, Scikit-learn)
 </li>
 <li>
 Strong skills in data visualization tools, such as Tableau or Power BI
 </li>
 <li>
 Solid understanding of statistical analysis and modeling techniques
 </li>
 <li>
 Effective problem-solving skills and attention to detail
 </li>
 <li>
 Strong communication skills to convey complex data concepts to non-technical audiences
 </li>
 </ul>
</div>

Mozn

<div>
 
 
 About Mozn
 
 
 
 Mozn is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it's working to realise Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted Al technology partner for some of the largest government organizations, as well as many large corporations and startups.
 
 
 
 
 
 We are in an exciting stage of scaling the company to provide Al-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of Al to create a long-lasting impact.
 
 
 
 
 
 
 About the role
 
 
 
 We are seeking a Data Scientist with an interest in Natural Language Processing (NLP). In this role, you will assist in developing NLP models, apply problem solving skills, and support in pretraining and fine-tuning Large Language Models (LLMs). The ideal candidate will have a foundational understanding of data science, with a desire to specialize in NLP and machine learning, and a passion for learning and developing real-world solutions.
 
 
 
 
 
 
 
 
 
 What you'll do
 
 
 <ul>
 <li>
 Assist in the development and implementation of Natural Language Processing (NLP) models and LLMs
 </li>
 <li>
 Apply problem-solving skills to assist in the development of products and solutions, with a focus on learning and growth
 </li>
 <li>
 Support in pretraining and fine-tuning Large Language Models (LLMs), task solvers, and RAG.
 </li>
 <li>
 Collaborate with cross-functional teams to implement models, monitor outcomes, and iterate on solutions
 </li>
 <li>
 Conduct data analysis and exploratory research to uncover patterns, trends, and insights that can improve model performance and drive business outcomes.
 </li>
 <li>
 Assist in the evaluation and selection of appropriate algorithms, techniques, and methodologies for solving specific NLP problems
 </li>
 <li>
 Collaborate with senior data scientists and managers to document and communicate the results of model development and experiments effectively
 </li>
 <li>
 Stay up to date with the latest advancements in NLP, LLMs, RAG, and related fields, actively seeking opportunities to enhance knowledge and skills
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Data Science, Engineering, or a related field
 </li>
 <li>
 Proficiency in Arabic language (Native Arabic speaker) is a must. Knowledge of Modern Standard Arabic grammar and morphology is a plus
 </li>
 <li>
 3+ years of experience as a Data Scientist specialized in NLP or similar role
 </li>
 <li>
 Solid understanding of machine learning, natural language processing (NLP), large language models (LLMs), and deep learning techniques
 </li>
 <li>
 Deep expertise in Python's NLP libraries such as NLTK, SpaCy, and Hugging Face Transformers
 </li>
 <li>
 Excellent problem-solving skills and ML system design with an emphasis on product development
 </li>
 <li>
 Hands-on experience in deep learning frameworks such as TensorFlow or PyTorch
 </li>
 <li>
 Experience in R&amp;D is desirable
 </li>
 <li>
 Experience in one or more of the following is a must:
 </li>
 <li>
 LLMs pre-training, fine-tuning, and building LLMs, with demonstrable results
 </li>
 <li>
 Building Advanced (not plain-vanilla) Retrieval-Augmented Generation (RAG)
 </li>
 <li>
 Information Retrieval, Embedders and Re-rankers training and finetuning
 </li>
 <li>
 Sense of Data quality and Data-centric approaches is a plus
 </li>
 <li>
 Experience in model optimization, serving and scalability is a plus
 </li>
 <li>
 Experience in OCR and its advanced techniques is a plus
 </li>
 <li>
 Familiarity with cloud platforms like AWS, GCP, or Azure is a plus
 </li>
 <li>
 Must be Humble, Excellent, Relevant with a high sense of Ownership
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
 </li>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
 </li>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best.
 </li>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in Al.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
 </li>
 </ul>
 
 
</div>

QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 You will use data creatively to solve business challenges, often uncovering new and transformative opportunities along the way.
 
 
 In this role, you will focus on the development of advanced analytics models to optimize underlying business problems. You will apply state-of-the-art advanced analytics, quantitative tools and modeling techniques to interpret, make inferences and offer recommendations based on insights from the data. You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways and create new lines of thinking within an infinite number of clients and situations.
 
 
 You will create valuable, transformative business strategies through the measurement, manipulation, reporting and dissemination of broad sets of data. You will apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques in order to derive business insights, solve complex business problems and improve decisions. You will review, support and advise on the day-to-day analytics requirements of clients&rsquo; key operational processes while continually improving the impact of these processes.
 
 
 You will be based in our Cairo or Riyadh office as part of our QuantumBlack, AI by McKinsey team, partnering with consultants, clients, and other colleagues.
 
 
 Our QuantumBlack, AI by McKinsey teams bring the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Undergraduate degree in mathematics, statistics, physics, engineering; master's degree is a plus
 </li>
 <li>
 5+ years of professional experience in programming; experience applied to business problems is a plus
 </li>
 <li>
 Experience in programming (focus on machine learning) in Python; knowledge in SPSS, SAS, Ruby, Hadoop is a plus
 </li>
 <li>
 Experience in data treatment/data mining: SQL, AWK, Access, Spark, Excel
 </li>
 <li>
 Demonstrated aptitude for analytics; statistical knowledge is a plus
 </li>
 <li>
 Proven record of leadership in a work setting and/or through extracurricular activities
 </li>
 <li>
 Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
 </li>
 <li>
 Ability to communicate complex ideas effectively, both verbally and in writing, in English required; fluency in local office language(s) is a plus
 </li>
 </ul>
</div>

Data Scientist - QuantumBlack, AI by McKinsey

Visa

<div>
 
 Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose &ndash; to uplift everyone, everywhere by being the best way to pay and be paid.
 
 
 
 
 Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 Position Summary
 
 
 
 
 
 We are seeking an innovative and analytical thinker to support our Data Science team in the GCC region based in Riyadh, KSA. As a Data Scientist, you are expected to generate data and business insights, develop predictive and prescriptive models, context-based prototypes, and high impact storyboards to promote a data-driven strategy and solutions approach for the company.
 
 
 
 
 
 
 
 Principal Responsibilities
 
 
 
 
 <ul>
 <li>
 Serve as an analytics expert in designing, developing and implementing best in analytic solutions
 </li>
 <li>
 Create and deliver powerful insights from data through better visualization and storyboarding
 </li>
 <li>
 Collaborate with internal and external partners to fully understand business requirements and desired business outcomes
 </li>
 <li>
 Demonstrate execution proficiency in handing multiple medium-to-large analytics projects in a team environment that includes the rest of the Data Science team
 </li>
 <li>
 Draft detailed scope for assigned projects, addressing suggested methodology and analytics plan
 </li>
 <li>
 Execute on the analytics plan with appropriate data mining and analytical techniques
 </li>
 <li>
 Perform quality assurance of data and deliverables for work performed by other Data Scientists and self
 </li>
 <li>
 Ensure all project documentation is up to date and all projects are reviewed per analytics plan
 </li>
 <li>
 Ensure project delivery within timelines and budget requirements
 </li>
 <li>
 Build on team&rsquo;s analytical skills and business knowledge
 </li>
 <li>
 Enhance existing analytics techniques by promoting new methodologies and best practices in the Data Science field
 </li>
 <li>
 Provide subject matter expertise and quality assurance of complex data-driven analytic projects
 </li>
 </ul>
 
 
 
 
 
 
 Technical Expertise
 
 
 
 
 <ul>
 <li>
 Experience in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)
 </li>
 <li>
 Ability to write scratch MapReduce jobs and fluency with Spark frameworks
 </li>
 <li>
 Familiarity with both common computing environments (e.g. Linux, Shell Scripting) and commonly-used IDE&rsquo;s (Jupyter Notebooks), proficiency in SAS technologies and techniques
 </li>
 <li>
 Strong programming ability in different programming languages such as Python, R, Scala, Java, Matlab, C++, and SQL
 </li>
 <li>
 Experience in drafting solution architecture frameworks that rely on API&rsquo;s and micro-services
 </li>
 <li>
 Familiarity with common data modeling approaches, and ability to work with various datatypes including JSON, XML, etc.
 </li>
 <li>
 Ability to build data pipelines (e.g. ETL, data preparation, data aggregation and analysis) using tools such as NiFi, Sqoop, Ab Initio, familiarity with data lineage processes and schema management tools such as Avro
 </li>
 <li>
 Proficient in some or all of the following techniques: Linear &amp; Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain, Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, etc.
 </li>
 <li>
 Expert knowledge of advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree techniques (e.g., CART, CHAID)
 </li>
 <li>
 Deliver results within committed scope, timeline and budget
 </li>
 <li>
 Very strong people/project management skills and experience
 </li>
 <li>
 Ability to travel within GCC on short notice
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Basic Qualifications
 
 
 &bull;2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
 
 
 
 
 Preferred Qualifications
 
 
 &bull;3 or more years of work experience with a Bachelor&rsquo;s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
 
 
 &bull;Minimum of 3-4 years of analytics expertise in applying statistical solutions to business problems
 
 
 &bull;Experience working in one or more of the Card Payments markets around the globe
 
 
 &bull;Post-graduate degree (Masters or PhD) in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent
 
 
 
 
 
 
 Additional Information
 
 
 
 
 Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
 
 
 
</div>

Data Scientist (Saudi nationals)

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1337 analytical data scientist jobs IN Riyadh

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Data Scientist - QuantumBlack, AI by McKinsey

Data Scientist (Saudi nationals)