analytical data scientist

Hidrocalido Digital Qatar

Job Opportunity: Data ScientistLocation: Doha, Qatar Company: Hidrocalido Digital QatarAbout UsHidrocalido Digital Qatar is a forward-thinking technology company specializing in digital transformation, advanced analytics, and innovative IT solutions. Based in Doha, we empower organizations to harness the power of data for smarter decision-making and sustainable growth. As we expand, we are seeking a talented Data Scientist to join our team and drive data-driven innovation.Role OverviewThe Data Scientist will be responsible for analyzing complex datasets, building predictive models, and delivering actionable insights to support business strategies. This role requires strong technical expertise, creativity, and the ability to communicate findings effectively to both technical and non-technical stakeholders.Key Responsibilities<ul><li>Collect, clean, and analyze large datasets from multiple sources.</li><li>Develop predictive models, machine learning algorithms, and statistical analyses.</li><li>Collaborate with business teams to identify opportunities for data-driven solutions.</li><li>Visualize data insights through dashboards and reports.</li><li>Ensure data integrity, accuracy, and compliance with company standards.</li><li>Stay updated on emerging data science tools, techniques, and trends.</li><li>Provide recommendations to improve business performance and efficiency.</li><li>Support integration of AI and advanced analytics into company systems.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or related field.</li><li>3&ndash;6 years of experience in data science, analytics, or machine learning.</li><li>Proficiency in Python, R, SQL, and data visualization tools (Tableau, Power BI).</li><li>Strong knowledge of machine learning frameworks (TensorFlow, Scikit-learn, PyTorch).</li><li>Experience with big data platforms (Hadoop, Spark) is a plus.</li><li>Excellent analytical, problem-solving, and communication skills.</li><li>Ability to work independently and in a collaborative team environment.</li></ul>Why Join Us?<ul><li>Be part of a growing data science team in Doha.</li><li>Play a key role in shaping Hidrocalido Digital Qatar&rsquo;s analytics strategy.</li><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career advancement.</li><li>Supportive, innovation-driven, and technology-focused work culture.</li></ul>نوع الوظيفة: دوام كاملالراتب المدفوع: QAR٠٫٠٠&nbsp;لكل شهرموقع العمل: بشكل شخصي

Data Scientist

Gathern

<div>Data Scientist: 
Drive data-driven decision-making by developing analytical models, extracting actionable insights, and translating complex datasets into measurable business impact aligned with company strategy.<div> 
Key Accountabilities: 
<ul><li>Develop predictive and statistical models to support business objectives</li><li>Perform data cleaning, transformation, and feature engineering</li><li>Translate business problems into analytical frameworks</li><li>Build dashboards and data visualizations for stakeholders</li><li>Conduct exploratory data analysis (EDA) to uncover trends and insights</li><li>Collaborate with Product, Marketing, and Engineering teams</li><li>Monitor model performance and ensure continuous optimization</li></ul></div> 
Core Behavioral Competencies:<ul><li>Strategic Vision &amp; Agility &ndash; Proficient</li><li>Growth Mindset &ndash; Proficient</li><li>Scalable Execution &ndash; Proficient</li><li>People Leadership &amp; Talent Development &ndash; Basic/Proficient</li><li>Governance &amp; Ethical Conduct &ndash; Proficient</li><li>Customer Centricity &ndash; Proficient</li><li>Innovative Thinking &amp; Digital Fluency &ndash; Expert</li><li>Stakeholder Management &ndash; Proficient</li></ul><div>
Technical Competencies: 
<ul><li>Data Modeling &amp; Statistical Analysis &ndash; Proficient</li><li>Machine Learning &amp; Predictive Modeling &ndash; Proficient</li><li>Data Wrangling &amp; Feature Engineering &ndash; Proficient</li><li>Data Visualization &amp; Storytelling &ndash; Proficient</li><li>SQL &amp; Database Querying &ndash; Proficient</li><li>Python / R for Data Science &ndash; Proficient</li><li>Experimentation &amp; A/B Testing &ndash; Basic/Proficient</li><li>Model Deployment &amp; Monitoring &ndash; Basic/Proficient</li></ul></div> 
Requirements 
Education:<ul><li>Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Mathematics, or related field.</li></ul>
 Experience:<ul><li>4&ndash;6 years in data science or advanced analytics roles</li><li>Experience building and deploying machine learning models</li><li>Experience working with large structured and unstructured datasets</li><li>Experience collaborating with cross-functional teams</li></ul></div>

Lincare

<div>
 
 Required
 
 
 
 The Data Scientist is primarily responsible for supporting/leading AI-driven initiatives that will help drive revenue growth, efficiency/productivity, and patient Lifetime Value. The individual will be conducting prescriptive, predictive and informational analytics to identify actionable insights. Skills required include, but are not limited to:
 
 
 <ul>
 <li>
 building machine learning algorithms
 </li>
 <li>
 data engineering
 </li>
 <li>
 natural language processing (NLP)
 </li>
 <li>
 large language models (LLMs) and any other required AI skills
 </li>
 <li>
 Technical coding skills are also required and include SQL code, R-Markdown and Python.
 
 
 </li>
 </ul>
 Through the combination of statistical knowledge, AI skills and technical coding languages, a data scientist will be required to complete any assigned analytical projects in a timely and efficient manner. Additionally, this position will be required to identify, plan and implement any other use cases for AI technology to help drive business success and improvement. They will also take a key role in the planning and development of Lincare's AI platform and strategy. Projects and long-term strategy development should always focus on business impact and have measurable outcomes for success measurement. Additionally, this position will be required to work with other teams to gain insight and to provide technical training to others.
 
 
 
 Job Functions
 
 
 
 <ul>
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 Responsible for data analytics / data science on massive sets of complex and, sometimes, unstructured data to prepare for statistical analysis.
 </li>
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 Manipulates or converts data according to analysis needs; and develops approaches to deal with imperfections in data (e.g. missing values or inconsistent data formatting)
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 Identifies and executes on best approach for assigned project which may include skills including machine learning, NLP, LLMs, deep learning, neural networks or any other data science function.
 </li>
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 Develops reports using complex formulas; analyzes and reviews results for accuracy.
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 Understands how to work with multiple data sources, and accurately accesses the correct data within complex databases based on business needs and reporting requirements.
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 Will be comfortable interacting at all levels of technology teams both internal and external to Lincare. (project managers, database designer, information architecture, multilayer off-shore support centers, etc.)
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 Manages projects to ensure they are delivered successfully and in a timely manner.
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 Identifies opportunities to improve revenue, productivity/efficiency as well as enhance patient life time value using data science technologies.
 </li>
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 Performs other duties as assigned.
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 Complies with all policies and standards.
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 </ul>
</div>

Gathern | جاذر إن

<div>
 
 Data Scientist:
 
 
 
 Drive data-driven decision-making by developing analytical models, extracting actionable insights, and translating complex datasets into measurable business impact aligned with company strategy.
 
 
 
 Key Accountabilities:
 
 
 
 <ul>
 <li>
 Develop predictive and statistical models to support business objectives
 </li>
 <li>
 Perform data cleaning, transformation, and feature engineering
 </li>
 <li>
 Translate business problems into analytical frameworks
 </li>
 <li>
 Build dashboards and data visualizations for stakeholders
 </li>
 <li>
 Conduct exploratory data analysis (EDA) to uncover trends and insights
 </li>
 <li>
 Collaborate with Product, Marketing, and Engineering teams
 </li>
 <li>
 Monitor model performance and ensure continuous optimization
 
 
 </li>
 </ul>
 
 Core Behavioral Competencies:
 
 
 
 <ul>
 <li>
 Strategic Vision &amp; Agility - Proficient
 </li>
 <li>
 Growth Mindset - Proficient
 </li>
 <li>
 Scalable Execution - Proficient
 </li>
 <li>
 People Leadership &amp; Talent Development - Basic/Proficient
 </li>
 <li>
 Governance &amp; Ethical Conduct - Proficient
 </li>
 <li>
 Customer Centricity - Proficient
 </li>
 <li>
 Innovative Thinking &amp; Digital Fluency - Expert
 </li>
 <li>
 Stakeholder Management - Proficient
 
 
 </li>
 </ul>
 
 Technical Competencies:
 
 
 
 <ul>
 <li>
 Data Modeling &amp; Statistical Analysis - Proficient
 </li>
 <li>
 Machine Learning &amp; Predictive Modeling - Proficient
 </li>
 <li>
 Data Wrangling &amp; Feature Engineering - Proficient
 </li>
 <li>
 Data Visualization &amp; Storytelling - Proficient
 </li>
 <li>
 SQL &amp; Database Querying - Proficient
 </li>
 <li>
 Python / R for Data Science - Proficient
 </li>
 <li>
 Experimentation &amp; A/B Testing - Basic/Proficient
 </li>
 <li>
 Model Deployment &amp; Monitoring - Basic/Proficient
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Education
 
 :
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field
 
 
 </li>
 </ul>
 
 Experience
 
 :
 
 
 <ul>
 <li>
 4-6 years in data science or advanced analytics roles
 </li>
 <li>
 Experience building and deploying machine learning models
 </li>
 <li>
 Experience working with large structured and unstructured datasets
 </li>
 <li>
 Experience collaborating with cross-functional teams
 </li>
 </ul>
</div>

Embrace Technologies Private Limited

We&rsquo;re Hiring: Data Scientist (4+ Years Experience) On-Site - Gulberg Greens, Islamabad - PakistanJob SummaryWe are looking for a Data Scientist who can go beyond reporting and help drive real business decisions using data.This role requires someone who is comfortable working with large datasets, building models where needed, and clearly communicating insights to both technical and non-technical stakeholders.Key Responsibilities<ul><li>Analyze datasets to identify trends, patterns, and actionable insights</li><li>Build and validate statistical and predictive models</li><li>Write and optimize complex SQL queries</li><li>Work with business teams to translate requirements into data solutions</li><li>Present findings in a clear and structured manner to support decision-making</li></ul>Requirements<ul><li>4+ years of experience in Data Science or Data Analytics</li><li>Strong proficiency in:</li></ul>Python (pandas, NumPy, scikit-learn or similar) SQL (joins, aggregations, performance optimization)<ul><li>Solid understanding of:</li></ul>Statistics and data modeling Data cleaning and validation<ul><li>Strong communication skills with the ability to explain insights clearly</li></ul>Preferred Qualifications<ul><li>Experience with:</li><li>Machine learning models in production</li><li>Data visualization tools (Power BI, Tableau, etc.)</li><li>A/B testing or experimentation</li></ul>Work Environment<ul><li>On-site role (no remote option)</li><li>Collaborative team environment with cross-functional interaction</li></ul>How to ApplyApply through Indeed and include:<ul><li>Updated CV</li><li>Examples of projects or work demonstrating data-driven insights (if available)</li><li>Fill out this form with further details</li></ul>https://docs.google.com/forms/d/e/1FAIpQLSf0rYCvDTev4nx6QF2xjSpQVb9VlrCBNkA62L8QwJ6K6jgWyw/viewformKeywords: Data Scientist, Python, SQL, Data Analytics, Machine Learning, Statistics, Data ModelingJob Type: Full-timeWork Location: In person

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>
 Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
 </li>
 <li>
 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.)
 </li>
 <li>
 4+ 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.
 
 
 $147,000/year to $208,000/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>

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