analytical data scientist

EjadTech - إيجاد التقنية

<div>
 
 EjadTech is seeking a professional Data Scientist to act as a technical and strategic partner. The role involves extracting value from big data and transforming it into actionable insights that support decision-making and solve complex business challenges for our clients.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Translate complex business challenges into actionable data science projects and technical models.
 </li>
 <li>
 Manage the end-to-end data lifecycle, including extraction, cleaning, and transformation.
 </li>
 <li>
 Develop, train, and validate advanced Machine Learning models and predictive algorithms.
 </li>
 <li>
 Perform Exploratory Data Analysis (EDA) and create visualizations to communicate patterns clearly.
 </li>
 <li>
 Build and deploy scalable analytical solutions on cloud platforms (AWS, Azure, or GCP).
 </li>
 <li>
 Present technical findings and strategic recommendations to senior leadership and clients.
 </li>
 <li>
 Collaborate with Data Engineers to ensure robust data pipelines and system integration.
 </li>
 </ul>
 
 
 Experience:
 
 
 <ul>
 <li>
 3 to 6 years of professional experience as a Data Scientist.
 </li>
 <li>
 Strong proficiency in Python or R and advanced SQL querying.
 </li>
 <li>
 Proven track record in applying Machine Learning frameworks.
 </li>
 <li>
 Experience in a consulting or client-facing technology environment.
 </li>
 </ul>
 
 
 Qualifications and Skills:
 
 
 <ul>
 <li>
 Degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
 </li>
 <li>
 Exceptional Data Storytelling skills and the ability to simplify technical concepts for non-experts.
 </li>
 <li>
 Familiarity with Agile methodologies and modern data engineering practices.
 </li>
 <li>
 Critical thinking and problem-solving skills with the ability to work under pressure.
 </li>
 <li>
 Full professional proficiency in both Arabic and English.
 </li>
 </ul>
 
 
 
</div>

Data Scientist

Uretero Communications & IT

Job Title: Data ScientistJoin BigDev Company Technologies as a Data ScientistAre you passionate about turning data into meaningful insights and building intelligent systems that solve real-world problems? At BigDev Company Technologies, we&rsquo;re growing fast and looking for a Data Scientist to help us design, analyze, and deploy impactful data solutions.This is an exciting opportunity to work on modern data stacks, collaborate with cross-functional teams, and contribute to high-impact projects in a supportive and innovation-driven environment.What You&rsquo;ll Do<ul><li>Analyze large datasets to extract actionable insights and trends</li><li>Build, test, and deploy machine learning models</li><li>Develop data pipelines and automate data processing workflows</li><li>Collaborate with engineers, product managers, and stakeholders</li><li>Create dashboards and visualizations using tools like Power BI or Tableau</li><li>Optimize algorithms and improve model performance</li><li>Present findings clearly to technical and non-technical audiences</li></ul>What We&rsquo;re Looking For<ul><li>Experience in data science, machine learning, or a related field</li><li>Strong knowledge of Python, SQL, and data analysis libraries (Pandas, NumPy, Scikit-learn)</li><li>Familiarity with machine learning frameworks (TensorFlow, PyTorch is a plus)</li><li>Experience with data visualization tools (Power BI, Tableau, or similar)</li><li>Understanding of statistics, data modeling, and predictive analytics</li><li>Strong problem-solving and analytical thinking skills</li><li>Ability to work independently and in a team environment</li></ul>Nice to Have (Not Required)<ul><li>Experience with cloud platforms (AWS, Azure, or GCP)</li><li>Knowledge of big data tools (Spark, Hadoop)</li><li>Prior experience in production-level ML deployment</li></ul>About the CompanyBigDev Company Technologies is a growing technology company focused on building scalable software, AI-driven solutions, and data-powered products for clients across multiple industries. We combine innovation, collaboration, and technical excellence to deliver real impact.Why Work With Us<ul><li>Work on meaningful, real-world data projects</li><li>Supportive and collaborative team culture</li><li>Opportunities for learning, growth, and career advancement</li><li>Exposure to modern tools and technologies</li></ul>Apply NowReady to take the next step in your data science career? Apply today and join a team where your work truly makes an impact.Job Type: Full-timePay: KD1,800.000 - KD2,000.000 per monthWork Location: In person

ATG Entertainment USA

<div>
 
 
 POSITION: Data Scientist
 
 
 
 
 LOCATION: REMOTE (San Antonio, Detroit, New Orleans)
 
 
 
 
 HOURS: Full-Time, Non-Union. 40hrs/week
 
 
 
 
 COMPENSATION: $80k - $100k (Commensurate with Experience)
 
 
 
 
 
 
 
 
 ABOUT THE POSITION
 
 
 
 As a Data Scientist, you will develop and improve machine learning models that support customer personalization and marketing effectiveness across our CRM and digital channels. Working under the guidance of a Senior Data Scientist, you will focus on modelling, experimentation, and analysis, helping turn customer data into practical, measurable improvements in engagement and conversion.
 
 
 
 
 
 This role is hands‑on and analytical, with clear ownership of model development and testing, while deployment and serving are handled in partnership with ML Engineers. You&rsquo;ll work closely with CRM and Marketing teams to ensure models are well understood, correctly applied, and delivering real business impact
 
 
 
 
 
 PEOPLE, PLACES, AND THINGS
 
 
 <ul>
 <li>
 Contribute to designing, scaling/building, evaluating, integrating, and refining machine learning models.
 </li>
 <li>
 Collaborate with Marketing and Engineering across the US and UK to define how machine learning underpins personalized customer communications.
 </li>
 <li>
 Build reusable science infrastructure, design and build production-grade measurement systems and establish robust evaluation frameworks.
 </li>
 </ul>
 
 
 
 
 
 EXPERIENCE AND SKILLS
 
 
 <ul>
 <li>
 3+ years&rsquo; experience as a Data Scientist building and improving predictive models used in real products or decision‑making.
 </li>
 <li>
 Degree in a quantitative field (e.g. Computer Science, Statistics, Mathematics, Operations Research) or equivalent practical experience.
 </li>
 <li>
 Strong skills in Python and applied machine learning, with good coding practices and a focus on clear, maintainable analysis.
 </li>
 <li>
 Experience developing and evaluating models such as propensity, segmentation, or recommendations, from problem definition through to measurement.
 </li>
 <li>
 Comfortable designing and analyzing experiments (A/B tests, holdouts, offline validation) to understand model impact.
 </li>
 <li>
 Experience working with modern data stacks (e.g. SQL, Snowflake/dbt) to prepare features and analyze large datasets.
 </li>
 <li>
 Familiarity with how models are taken into production, including collaboration with ML Engineers and awareness of concepts like versioning and monitoring.
 </li>
 <li>
 Bonus: experience applying data science in CRM, marketing, or personalization use cases.
 </li>
 </ul>
 
 
 
 
 BENEFITS
 
 
 <ul>
 <li>
 Medical, Dental and Vision Insurance
 </li>
 <li>
 401k Match
 </li>
 <li>
 Paid Vacation &amp; Holidays
 </li>
 </ul>
 
 
 
 
 
 ATG-Entertainment: Passion Behind Performance
 
 
 
 
 
 
 ATG Entertainment is a world leader in live entertainment. Our portfolio of venues includes historic theatres, studio theatres, cinemas, conference spaces, and modern live music arenas. ATG Entertainment own, operate or program 64 of the world&rsquo;s most iconic venues across the UK, the US and Germany entertaining over 18 million audience members each year.
 
 
 
 
 
 
 ATG Entertainment: IDEA Mission Statement
 
 
 
 
 
 
 At ATG Entertainment, our commitment to inclusion, diversity, equity, and access (IDEA) is reflected in our IDEA mission statement: A stage for everyone. Our stages are a platform for compelling stories &ndash; stories that are for all, by all, and of all. We shine our spotlight on our differences and believe that understanding and celebrating these differences makes us better global citizens. We are committed to strengthening the sense of belonging by ensuring diversity and equity in everything we do. We strive to make our venues beacons of these ideals in our communities. Onstage and off, we hold ourselves accountable for nurturing an inclusive culture, one in which everyone can bring their authentic selves, and everyone feels they belong. At ATG Entertainment, we provide a stage for everyone.
 
 
 
</div>

Joulé

<div>
 
 
 
 
 Title:
 
 Research&nbsp;Data Scientist
 
 
 Location:&nbsp;
 
 Onsite,&nbsp;Pittsburgh, PA 15213
 
 
 Type:
 
 &nbsp;Direct-Hire/Permanent
 
 
 Hours:&nbsp;
 
 Standard business hours
 
 
 Start:&nbsp;
 
 May
 
 
 Overview:
 
 
 
 Join a cutting-edge lab to discover novel therapeutics that is seeking a highly motivated Data Scientist to provide advanced analytical and computational support for complex research and data-driven initiatives. This role focuses on developing data analysis pipelines, statistical models, and machine learning approaches to support the integration, interpretation, and visualization of diverse datasets. The position will contribute to building scalable, reproducible data frameworks that enable insights, predictive modeling, and informed decision-making.
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 
 
 Design and implement scalable data analysis pipelines for structured and unstructured datasets
 
 
 </li>
 <li>
 
 
 Develop and apply statistical models to analyze trends, patterns, and key outcomes
 
 
 </li>
 <li>
 
 
 Build and deploy machine learning models for predictive analytics and pattern recognition
 
 
 </li>
 <li>
 
 
 Perform integrative analysis across multiple data sources and modalities
 
 
 </li>
 <li>
 
 
 Collaborate with stakeholders to support study design, data strategy, and analytical approaches
 
 
 </li>
 <li>
 
 
 Establish and maintain reproducible workflows, including data preprocessing, quality control, and version control
 
 
 </li>
 <li>
 
 
 Develop data organization standards and reporting frameworks
 
 
 </li>
 <li>
 
 
 Generate clear data visualizations, dashboards, and analytical summaries
 
 
 </li>
 <li>
 
 
 Contribute to technical documentation, reports, and presentations
 
 
 </li>
 <li>
 
 
 Support data infrastructure development for efficient storage, access, and processing
 
 
 </li>
 <li>
 
 
 Partner with cross-functional teams to align data solutions with project goals
 
 
 </li>
 </ul>
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 
 
 Master&rsquo;s degree (Ph.D. preferred) in Data Science, Statistics, Computer Science, or a related quantitative field
 
 
 </li>
 <li>
 
 
 3+ years of experience in data analysis, statistical modeling, or computational work
 
 
 </li>
 <li>
 
 
 Strong expertise in statistical analysis and data interpretation
 
 
 </li>
 <li>
 
 
 Proficiency in programming languages such as Python or R
 
 
 </li>
 <li>
 
 
 Experience working with large, complex datasets
 
 
 </li>
 <li>
 
 
 Experience building reproducible data workflows and pipelines
 
 
 </li>
 <li>
 
 
 Strong analytical, problem-solving, and communication skills
 
 
 </li>
 <li>
 
 
 Ability to work both independently and collaboratively
 
 
 </li>
 </ul>
 
 
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 
 
 Ph.D. in a quantitative or computational discipline
 
 
 </li>
 <li>
 
 
 Experience with machine learning or advanced modeling techniques
 
 
 </li>
 <li>
 
 
 Experience integrating data from multiple sources or systems
 
 
 </li>
 <li>
 
 
 Familiarity with data visualization tools and techniques
 
 
 </li>
 <li>
 
 
 Experience with data infrastructure, cloud platforms, or big data tools
 
 
 </li>
 <li>
 
 
 Exposure to analytical work in research or technical environments
 
 
 </li>
 <li>
 
 
 Experience contributing to technical reports, publications, or presentations
 
 
 </li>
 </ul>
 
 
 
 #M3
 
 
 
 
 Ref: #558-Scientific
 
</div>

Research Data Scientist

ATG Entertainment

<div></div><div><div><div><ul><li><h4 class="jobSectionHeader">Salary</h4>
<div>$80k- $100k</div>
</li><li><h4 class="jobSectionHeader">Hours</h4>
<div>Various</div>
</li><li><h4 class="jobSectionHeader">Type</h4>
<div>Full Time</div>
</li><li><h4 class="jobSectionHeader">Location</h4>
<div>18111 Lexington Blvd 
Sugar Land 
Texas 
77479</div></li><li> 
<ul><li><div>No Files</div></li></ul>
</li></ul></div><div></div><div>POSITION: Data Scientist
LOCATION: Remote (San Antonio, Detroit, New Orleans)
HOURS: Full-Time, Non-Union. 40hrs/week
COMPENSATION: $80k - $100k (Commensurate with Experience)
ABOUT THE POSITION
As a Data Scientist, you will develop and improve machine learning models that support customer personalization and marketing effectiveness across our CRM and digital channels. Working under the guidance of a Senior Data Scientist, you will focus on modelling, experimentation, and analysis, helping turn customer data into practical, measurable improvements in engagement and conversion.
This role is hands‑on and analytical, with clear ownership of model development and testing, while deployment and serving are handled in partnership with ML Engineers. You&rsquo;ll work closely with CRM and Marketing teams to ensure models are well understood, correctly applied, and delivering real business impact 
PEOPLE, PLACES, AND THINGS<ul><li>
Contribute to designing, scaling/building, evaluating, integrating, and refining machine learning models.
</li><li>Collaborate with Marketing and Engineering across the US and UK to define how machine learning underpins personalized customer communications.
</li><li>Build reusable science infrastructure, design and build production-grade measurement systems and establish robust evaluation frameworks.</li></ul> 
EXPERIENCE AND SKILLS<ul><li>
3+ years&rsquo; experience as a Data Scientist building and improving predictive models used in real products or decision‑making.</li><li>
Degree in a quantitative field (e.g. Computer Science, Statistics, Mathematics, Operations Research) or equivalent practical experience.</li><li>
Strong skills in Python and applied machine learning, with good coding practices and a focus on clear, maintainable analysis.</li><li>
Experience developing and evaluating models such as propensity, segmentation, or recommendations, from problem definition through to measurement.</li><li>
Comfortable designing and analyzing experiments (A/B tests, holdouts, offline validation) to understand model impact.</li><li>
Experience working with modern data stacks (e.g. SQL, Snowflake/dbt) to prepare features and analyze large datasets.</li><li>
Familiarity with how models are taken into production, including collaboration with ML Engineers and awareness of concepts like versioning and monitoring.</li><li>
Bonus: experience applying data science in CRM, marketing, or personalization use cases.</li></ul> 
BENEFITS<ul><li>
Medical, Dental and Vision Insurance
</li><li>401k Match</li><li>
Paid Vacation &amp; Holidays</li></ul>
ATG Entertainment: Passion Behind Performance
ATG Entertainment is a world leader in live entertainment. Our portfolio of venues includes historic theatres, studio theatres, cinemas, conference spaces, and modern live music arenas. ATG Entertainment own, operate or program 64 of the world&rsquo;s most iconic venues across the UK, the US and Germany entertaining over 18 million audience members each year.
ATG Entertainment: IDEA Mission Statement
At ATG Entertainment, our commitment to inclusion, diversity, equity, and access (IDEA) is reflected in our IDEA mission statement: A stage for everyone. Our stages are a platform for compelling stories &ndash; stories that are for all, by all, and of all. We shine our spotlight on our differences and believe that understanding and celebrating these differences makes us better global citizens. We are committed to strengthening the sense of belonging by ensuring diversity and equity in everything we do. We strive to make our venues beacons of these ideals in our communities. Onstage and off, we hold ourselves accountable for nurturing an inclusive culture, one in which everyone can bring their authentic selves, and everyone feels they belong. At ATG Entertainment, we provide a stage for everyone.</div></div></div>

IFAB

<div>IFAB Corp is seeking a highly analytical and results-driven Data Scientist to transform data into actionable insights that support strategic decision-making. The role involves working closely with cross-functional teams to analyze complex datasets, develop predictive models, and optimize business processes.
Key Responsibilities<ul><li>
Collect, clean, and analyze structured and unstructured data from multiple sources</li><li>
Develop and implement machine learning models to solve business problems</li><li>
Generate insights and present findings to stakeholders in a clear and actionable manner</li><li>
Build dashboards and visualizations to track key performance indicators (KPIs)</li><li>
Collaborate with business units (e.g., operations, marketing, finance) to identify opportunities for data-driven improvements</li><li>
Conduct A/B testing and statistical analysis to evaluate business initiatives</li><li>
Automate data processes and improve data pipelines for efficiency</li><li>
Ensure data quality, integrity, and governance standards are maintained</li></ul>
Qualifications<ul><li>
Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Mathematics, or related field (Master&rsquo;s preferred)</li><li>
Proven experience in data analysis, machine learning, or predictive modeling</li><li>
Strong proficiency in Python, R, or SQL</li><li>
Experience with data visualization tools (e.g., Tableau, Power BI)</li><li>
Knowledge of statistical methods and data mining techniques</li><li>
Familiarity with big data tools (e.g., Hadoop, Spark) is a plus</li><li>
Strong problem-solving and critical thinking skills</li></ul>
x4I26cVA7g</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>
 Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
 </li>
 <li>
 Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
 </li>
 <li>
 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
 </li>
 <li>
 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors &amp; long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]
 
 
 </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.
 
 
 $119,000/year to $173,000/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

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