analytical data scientist

SARIM BUILDING MATERIALS TRANDING L.L.C

SARIM BUILDING MATERIALS TRANDING L.L.C is a growing company specializing in the trading and supply of high-quality building materials across the UAE market. We are committed to innovation, operational excellence, and data-driven decision-making to support our continued growth and customer satisfaction.Position OverviewWe are looking for a highly motivated and analytical Data Scientist to join our team. The ideal candidate will be responsible for analyzing complex datasets, building predictive models, generating business insights, and supporting strategic decision-making across sales, operations, supply chain, and customer management.Key Responsibilities<ul><li>Collect, clean, and analyze large datasets from multiple business sources</li><li>Develop predictive models and machine learning algorithms</li><li>Create dashboards and reports for business stakeholders</li><li>Identify trends, patterns, and opportunities for business optimization</li><li>Work closely with management and operational teams to improve decision-making</li><li>Automate reporting and analytical processes</li><li>Conduct statistical analysis to support business growth strategies</li><li>Monitor KPIs and recommend data-driven improvements</li><li>Ensure data accuracy, integrity, and security</li></ul>Requirements<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or related field</li><li>Proven experience as a Data Scientist or Data Analyst</li><li>Strong knowledge of Python, SQL, and data visualization tools</li><li>Experience with machine learning frameworks and statistical modeling</li><li>Familiarity with Power BI, Tableau, or similar BI tools</li><li>Excellent analytical and problem-solving skills</li><li>Strong communication and presentation abilities</li><li>Experience in trading, retail, supply chain, or construction industry is a plus</li></ul>Preferred Skills<ul><li>Knowledge of cloud platforms (AWS, Azure, or Google Cloud)</li><li>Experience with ERP and business management systems</li><li>Understanding of forecasting and inventory optimization</li></ul>What We Offer<ul><li>Competitive salary package</li><li>Professional growth opportunities</li><li>Dynamic and collaborative work environment</li><li>Opportunity to work on real business challenges with impactful data solutions</li></ul>Pay: AED23,450.00 per monthWork Location: In person

Data Scientist

ocV!BE

<div><h1 class="jobSectionHeader">A great experience starts with you!</h1>
Join our team to help create and develop the future of live entertainment and sports in Orange County!
Once you've had a chance to explore our current open positions, apply to the ones you feel best suit you, as an applicant, you can always see your application status in your profile.
Mission: To enrich the lives in our community through shared experiences, welcoming spaces, and responsible actions.
Vision: We will be the social and entertainment center of Orange County &ndash; a place where the cultural kaleidoscope of the region converges and connects. Our vibrant, rich collection of experiences will celebrate the diversity of our community.
Values: Be Safe | Do the Right Thing | Be Generous | Include Everyone | Make it Easy | Be Bold<h2 class="jobSectionHeader">
Job Title:</h2>
Data Scientist
Pay Details:
The annual base salary range for this position in California is $100,000 to $140,000 per year. The starting pay for the successful candidate depends on various job-related factors, including but not limited to the candidate&rsquo;s geographic location, job-related knowledge, skills, experience, education/training, internal value, peer equity, external market demands, and organizational considerations.
The Data Scientist is responsible for owning the full analytical lifecycle, from problem definition and data extraction through modeling, experimentation, and stakeholder presentation. This role defines and tracks the metrics that measure business performance, designs experiments that produce defensible recommendations, and builds the Power BI dashboards business teams depend on daily, while partnering with cross-functional teams to translate business objectives into data problems and findings into decisions.
Responsibilities<ul><li>
Own the full analytical lifecycle, from problem definition and data extraction through modeling, visualization, and stakeholder presentation</li><li>
Define, instrument, and track metrics that measure business initiative success and drive decision-making across the organization</li><li>
Design and execute experiments end-to-end, including hypothesis formation, test design, execution, and translation of results into clear, defensible recommendations</li><li>
Build and maintain Power BI dashboards that give business teams a trusted, self-serve view of performance data</li><li>
Develop and deploy analytical models, including regression, classification, forecasting, or clustering, in real-world production context</li><li>
Apply AI and LLM-powered tooling to accelerate data workflows and give business teams faster answers from complex data</li><li>
Partner with cross-functional teams to translate business objectives into data problems and data findings into decisions</li></ul>
Qualifications<ul><li>
3&ndash;5 years of hands-on analytical experience delivering production-grade work</li><li>
Academic background in hard science, such as physics, mathematics, computer science, engineering, or a related quantitative field</li><li>
Production-grade Python and advanced SQL experience, with strong attention to performance, reproducibility, and maintainable code</li><li>
Practical experience applying statistics, including building and validating models, diagnosing failures, and explaining results to non-technical stakeholders without losing rigor</li><li>
Hands-on experience with Power BI or equivalent tools, including dashboards others depend on daily, not proof-of-concepts</li><li>
Demonstrated AI fluency, including experience building something with LLMs or generative AI in a real context, not just following a tutorial</li><li>
Strong written and verbal communication skills, with the ability to present complex findings clearly to any audience</li><li>
AI-native mindset, with experience using AI-assisted tooling as a genuine productivity multiplier, not a novelty</li></ul>
Knowledge, Skills, and Experience
Education - Bachelor's Degree
Experience Required &ndash; 3-5 Years
This position is on-site.
Company:
OC Sports &amp; Entertainment, LLC
Our Commitment:
We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and team members without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, medical condition or any protected category prohibited by local, state or federal laws. We are firm believers that diversity and inclusion among our team members are critical to our success, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool.
Thanks for your interest in becoming part of OCVIBE!</div>

Ericsson

<div><div><div><div><h2 class="jobSectionHeader">Grow with us</h2>
</div><div>
About this opportunity: 
The Data Scientist for Service Line Operate Service Management Service Improvement is a key position reporting to the Manager &ndash; Data Science, and a member of BCSM Service Line Operate Service Management Service Improvement Team.
Key Responsibilities<ul><li>
Enhanced Data analytics and Data Science &ndash; Use case design, modelling, and benefit realization</li><li>
Development of scientific methods, processes, and systems to extract knowledge or insights</li></ul>
The Data Scientist for Service Line Operate Service Management Service Improvement develops new solutions and maintain a strong analytical capability to improve service delivery by executing advanced capabilities such as analytics, machine learning skills and tools.</div></div><div><div><h2 class="jobSectionHeader">
Join our Team</h2></div><div> 
What you will do:<ul><li>
Develop/Own best in class statistical models (descriptive, diagnostic, prescriptive &amp; predictive) covering standard NOC parameters (Alarms, Tickets, WOs).</li><li>
Use cases / model creation (Live Site down, Genset Battery, CR dashboards etc.) with real time data and own/Manage/Revise Capability catalog.</li><li>
Develops scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics.</li><li>
Translate data algorithms and complex ideas into actionable management insights and solutions.</li><li>
Translate operator business objectives into business intelligence through regressive data analytics.</li><li>
Drive reuse of analytics capabilities as per demands in other contracts.</li><li>
Analytical model development &amp; visualization request handling.</li><li>
Model LCM &amp; Enhancements over existing models.</li><li>
Explore and work on Big Data tools and technologies to sustain Ericsson&rsquo;s continued operational transformation objectives and market leadership.</li><li>
Continually innovate data reports and data visualizations based on defined objectives such that they bring overview for executive level viewership.</li><li>
Recognize irrelevant information and prevent it from clouding the overall picture.</li><li>
Coordinate with Proactive Problem Management/MSCLT/SDU teams to build models.</li><li>
Work with MSDMs/CPM, Operations SME &amp; other stakeholders to conduct value-stream mapping &amp; propose elimination of any non-value activities - to gain operational efficiencies.</li></ul> 
The skills you bring:<ul><li>
7+ years of total experience with 3+ years of experience in Data Science, data modelling, Machine Learning, Statistics.</li><li>
Hands-on experience working in the related domains and/or Service Management functions.</li><li>
Strong understanding of Managed Services environment is mandatory.</li><li>
Strong telecom background in any of the domains (RAN/Core) is mandatory.</li><li>
Prior experience of working in MBNL operations is a plus point.</li><li>
Strong knowledge and experience in working with Data Analytic tools i.e., TABLEAU etc.</li><li>
Good understanding of Machine Learning, Artificial Intelligence and Cloud Technologies.</li><li>
Strong Knowledge of SQL, PL/SQL, SQL Server, SPSS, SPAS.</li><li>
Good command of programming language and software environment for statistical analysis, graphics representation and reporting i.e., R, Python.</li><li>
Education: bachelor&rsquo;s degree or equivalent.</li><li>
Driven by behaviors such as: Data driven, Agile, Automation, Value Focus, Innovation.</li><li>
Must have the ability to drive projects independently.</li><li>
Excellent English language skills oral and written.</li><li>
Self-motivated and works excellently under pressure.</li><li>
High degree of accountability and integrity.</li><li>
Highly developed skills in Interpersonal communication and ability to communicate effectively.</li><li>
Customer oriented and business minded &ndash; has a consultative approach and focuses on profitability.</li><li>
Analytical with strong problem-solving capability and strategic thinking.</li></ul></div></div></div>
Why join Ericsson?At Ericsson, you&acute;ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what&acute;s possible. To build solutions never seen before to some of the world&rsquo;s toughest problems. You&acute;ll be challenged, but you won&rsquo;t be alone. You&acute;ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. 
 
What happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. 
Primary country and city: Saudi Arabia (SA) ||
Req ID: 785347</div>

Meta

<div>
 As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
 
 
 Data Scientist, Product Analytics Responsibilities:
 
 
 <ul>
 <li>
 Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
 </li>
 <li>
 Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
 </li>
 <li>
 Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
 </li>
 <li>
 Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
 </li>
 <li>
 Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
 
 
 </li>
 </ul>
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
 </li>
 <li>
 A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
 </li>
 <li>
 Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
 </li>
 <li>
 Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Master's or Ph.D. Degree in a quantitative field
 </li>
 <li>
 Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
 </li>
 <li>
 Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
 </li>
 <li>
 Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 
 
 </li>
 </ul>
 About Meta:
 
 
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 
 
 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 
 
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 
 
 $177,000/year to $247,000/year + bonus + equity + benefits
 
 
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
</div>

Data Scientist, Product Analytics

MOZN

<div>
 
 About Mozn
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About The Role
 
 
 
 The Mozn brand is alive within a plethora of stakeholder touchpoints and therefore the most suitable candidate for the Data Scientist I position would have an interest in Financial Fraud Detection, Sanction Screening, Know Your Customer (KYC) procedures, Anti-Money Laundering (AML) initiatives, and emerging Generative AI technologies. As a Data Scientist I, you will support the development of analytical and AI-driven solutions to help detect and prevent fraudulent activities and mitigate AML risks under close guidance.
 
 
 
 
 What you&rsquo;ll d
 
 
 
 
 o
 
 
 
 
 <ul>
 <li>
 Support the development of fraud detection, AML, and Generative AI use cases.
 </li>
 <li>
 Assist in building and testing ML and GenAI models (e.g., prompt engineering, RAG pipelines).
 </li>
 <li>
 Prepare, clean, and analyze structured and unstructured data.
 </li>
 <li>
 Support the training, evaluation, and deployment of ML models.
 </li>
 <li>
 Assist with experimentation using LLMs for tasks such as document analysis, alert summarization, or data enrichment.
 </li>
 <li>
 Execute assigned tasks within project plans under supervision.
 </li>
 <li>
 Stay informed about industry trends related to fraud, AML, and Generative AI.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field.
 </li>
 <li>
 0&ndash;2 years of experience in data science or analytics.
 </li>
 <li>
 Basic understanding of ML concepts and exposure to Generative AI or LLMs.
 </li>
 <li>
 Proficiency in SQL and Python.
 </li>
 <li>
 Experience with data extraction, cleaning, and basic visualization.
 </li>
 <li>
 Familiarity with model evaluation and feature engineering concepts.
 </li>
 <li>
 Proficiency in English; Arabic is a plus.
 </li>
 <li>
 Strong problem-solving skills, attention to detail, and eagerness to learn.
 
 
 </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 AI.
 </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>

Data Scientist I

Virtusa

<div>
 As the Data Scientist at First Abu Dhabi Bank within the Data &amp; Artificial Intelligence division, you will work on the strategic Development of machine learning technologies to transform business processes.
 
 
 Drive the identification and evaluation of new business opportunities through the application of advanced machine learning techniques.
 
 
  Oversee the data analytics lifecycle, from data preprocessing and modelling to implementation and performance monitoring, ensuring adherence to technical and timeline specifications.
 
 
  Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple decision systems, design experiments and test business hypothesis.
 
 
  Champion the integration of machine learning technologies (SAS mandatory as well as python intermediate) and methodologies into existing and future business operations.
 
 
  Facilitate the ongoing monitoring and maintenance of deployed solutions, ensuring they deliver consistent value and adapt to new business needs or data insights.
 
 
  Develop Innovative and effective approaches to solve business problems using analytics and communicate results and methodologies.
 
 
  Bachelor&rsquo;s degree in computer science, Engineering, Mathematics, Statistics, or related
 
 
 field; Additional Degree or certifications in the field related to data science/Analytics ispreferred.
 
 
  Minimum of 5+ years in machine learning, data science, or a related field using SAS EG 8.3 or above, SAS Viya, python.
 
 
  Advanced proficiency in programming languages in SAS Base, EMiner,
 
 
  Advanced Hands-on Programming experience in Python.
 
 
  Hands on Experience of working on Dataiku Platform for production is required
 
 
  Azure Databricks and AWS knowledge is a plus
 
 
  Deep understanding of machine learning, statistical modelling, data mining, and artificial intelligence principles and techniques.
 
 
  Expertise in cloud technologies and architectures for machine learning Development, with hands-on experience in SAS, Azure data bricks as well as Dataiku.
 
 
  Strong analytical skills with the ability to solve complex problems and provide practical solutions that align with business strategies.
 
 
  SAS, Dataiku certifications would be added advantage.
</div>

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7994 analytical data scientist jobs Near Me

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