data science specialist

Beinex

<div><h3 class="jobSectionHeader">Highlights</h3>
<div></div><div><div><div>Experience
</div>2 - 4 Years
</div><div><div>Joining Date
</div>Immediate or max 30 days&rsquo; Notice Period
</div><div></div><div><div>Qualification
</div>Master&rsquo;s degree in Data Science, Statistics, Engineering or a related field (applicants with a Bachelor&rsquo;s degree and relevant work experience can also apply)
</div></div><h3 class="jobSectionHeader">Job Description</h3>
<div>We are seeking a versatile and innovative Arabic-speaking BI &amp; Data Science Specialist with expertise in business intelligence, advanced analytics, and data science. With expertise in BI tools, Alteryx, and predictive modelling, you will play a pivotal role in transforming complex datasets into actionable insights that drive strategic decisions.
</div>
<h3 class="jobSectionHeader">Responsibilities</h3>
<ul><ul><li>Design and deliver interactive BI dashboards and reports using tools such as Power BI, Tableau, or Qlik to translate data into impactful visuals.</li>
<li>Develop, optimize, and maintain Alteryx workflows for robust data extraction, transformation, and loading (ETL).</li>
<li>Apply data science techniques, including predictive analytics, machine learning, and statistical modelling, to solve business challenges.</li>
<li>Conduct exploratory data analysis (EDA) to uncover patterns, trends, and hidden opportunities.</li>
<li>Integrate predictive models into BI dashboards to deliver actionable, real-time insights to stakeholders.</li>
<li>Partner with business teams to understand requirements and craft data-driven solutions that create measurable impact.</li>
</ul></ul><h3 class="jobSectionHeader">Key Skills Requirements</h3>
<ul><ul><li>Proficiency in Arabic (both written and spoken) along with strong English communication skills.</li>
<li>Expertise in BI development and data visualization.</li>
<li>Advanced hands-on skills in Alteryx workflow automation.</li>
<li>Proficiency in Python or R for data science and machine learning projects.</li>
<li>Solid understanding of machine learning algorithms, model training, and evaluation.</li>
<li>Strong SQL skills and ability to manipulate and prepare large datasets.</li></ul></ul></div>
 <div><div><div><h3 class="jobSectionHeader">Perks: Careers at Beinex</h3>
</div></div><div></div><div><div>Comprehensive Health Plans
</div><div>Learning and development
</div><div>Workation and outdoor training
</div><div>Hybrid working environment
</div><div>On-site travel Opportunity
</div><div>Beinex Branded Merchandise</div></div></div>

Consultant – Data Science and Advance Analytics

Commercial Bank

<div>
 
 
 
 About Commercial Bank of Qatar:
 
 
 
 
 Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar&rsquo;s economic development by offering a range of personal, business, government, international and investment services. We believe in empowering our employees, providing them with opportunities for growth and professional development.
 
 
 By Joining us, you&rsquo;ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.
 
 
 
 Join us in shaping the future of banking!
 
 
 
 
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 
 At Commercial Bank, data is a key driver in strategic decision making; the incumbent is required to have a thorough understanding of data analytics, data management principles and have ability to help the bank derive maximum value from the data available. Previous experience with data science and advanced analytical techniques, as well as AI and Machine Learning in a banking context would be a major success factor. The skills needed for the Data Scientist include technical knowledge and problem-solving and focus on delivery. The prospective candidate is expected to help take the bank&rsquo;s data science capabilities to the next level; building on a good foundation but accelerating both the capability development and the exploitation of benefits.
 
 
 
 
 
 
 Key Accountabilities
 
 
 <ul>
 <li>
 Lead the discovery processes with stakeholders to identify business requirements and expected outcomes by modelling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques.
 </li>
 <li>
 Apply data mining techniques, perform statistical analysis, and build high quality prediction systems relevant to the business and its operations,
 </li>
 <li>
 Expected to discover information hidden in the vast amount and variety of big data sources and perform statistical analysis to produce business insights e.g. market trends, customer profile and segments, association analysis, predicted behaviour) that will enable the company to make better business decisions.
 </li>
 <li>
 Lead the utilization of various machine learning-based tools and processes such as regression, clustering principle component analysis and others within the Commercial Department.
 </li>
 <li>
 Model and frame business scenarios that are meaningful and which impact critical business decisions and processes.
 </li>
 <li>
 Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as smart meters and geo location information or social media..
 </li>
 </ul>
 
 
 
 
 Make strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
 
 <ul>
 <li>
 Develop innovative and effective approaches to solve analytical problems and communicates the results and methodologies
 </li>
 <li>
 Validate findings/test hypotheses using an experimental and iterative approach e.g. scenario modelling Identify/create the appropriate algorithm to discover patterns
 </li>
 </ul>
 
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 
 
 
 
 Minimum Qualifications:
 
 
 
 
 Bachelor's Degree or an equivalent professional qualification
 
 
 
 
 
 
 
 Minimum Experience:
 
 
 
 <ul>
 <li>
 Python or R capability
 </li>
 <li>
 Min. 2 years of experience of modelling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques, integrating and preparing large, varied massive datasets, architecting specialized database and computing environments and communicating the results to the business
 </li>
 <li>
 Expertise in reports and analysis of complex customer and/or commercial data.
 </li>
 <li>
 Specialist skills in research methodologies, consumer behavior, and market research activities.
 </li>
 <li>
 Specialist skills with Microsoft Excel.
 </li>
 <li>
 Specialist skills in different analytical and visualization systems and tools such as SSRS, SQL, Power BI, Cognos, etc.
 </li>
 <li>
 Skills in data extraction, transformation and visual analytics.
 </li>
 <li>
 Skills in customer service / customer success / customer experience or engagement
 </li>
 <li>
 Excellent written and spoken English.
 </li>
 </ul>
 
 
 
 
 
 Knowledge, &amp; Other skills:
 
 
 
 &bull;Knowledge of banking products
 
 
 &bull;Excellent written and spoken English
 
 
 
 
 
 
 
 
 
 
 Why Commercial Bank?
 
 
 
 
 
 
 <ul>
 <li>
 
 Best Performing Bank in Qatar
 
 in The Banker&rsquo;s prestigious Top 1000
 
 World Banks Rankings 2025.
 
 </li>
 <li>
 
 Best Digital Bank in the Middle East 2024
 
 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
 </li>
 <li>
 An
 
 Innovation-Driven, Digital-First
 
 Environment where employees work with the latest tools and technologies to redefine banking
 </li>
 <li>
 Opportunities for
 
 Global Partnerships &amp; International Exposure
 
 , connecting employees with global networks and perspectives.
 </li>
 <li>
 A focus on Employee
 
 Well-being &amp; Work-Life Balance
 
 , ensuring a healthy and supportive environment for all team members
 </li>
 <li>
 
 Competitive Compensation &amp; Benefits
 
 that ensure our employees are rewarded for their dedication and performance
 </li>
 <li>
 A strong Commitment to
 
 Diversity, Equity &amp; Inclusion
 
 , fostering a culture that values every individual&rsquo;s unique perspective
 </li>
 </ul>
 
 
 
 
 At Commercial Bank, we don&rsquo;t just offer careers, We shape futures by pioneering
 
 digital transformation
 
 in Qatar&rsquo;s banking sector,
 
 blending digital-first
 
 approach to redefine banking through
 
 innovative solutions.
 
 
 
 
 
 
 
 
 
 
 
 
 Disclaimer:
 
 
 
 
 
 We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.
 
 
</div>

Data Scientist

Hirezy

Role Description: As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable.Roles &amp; Responsibilities:<ul><li>Developing and implementing machine learning models and algorithms to solve complex business problems</li><li>Conducting data analysis and modeling using statistical and data analysis tools</li><li>Collaborating with other teams to ensure the consistency and integrity of data</li><li>Providing guidance and mentorship to junior data science and modeling specialists</li><li>Presenting findings and recommendations to stakeholders</li><li>Technical Skills</li></ul>Skills Requirements:<ul><li>Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis.</li><li>Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning.</li><li>Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL.</li><li>Understanding of big data technologies such as Hadoop, Spark, or Hive.</li><li>Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner.</li><li>Must understand the company's long-term vision and align with it.</li><li>Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team.</li></ul>Qualifications<ul><li>4-6 years of work experience in relevant field</li><li>B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred</li></ul>Job Type: Full-timePay: Up to &#8377;1,600,000.00 per yearWork Location: In person

Senior Data Science and Modeling Specialist (Genai)

Sunfocus Pvt.Ltd

Job Title: Data Scientist Location: Mohali Experience: 2&ndash;3 Years Type: Full-TimeWe&rsquo;re hiring a Data Scientist with 2&ndash;3 years of experience to join our team in Mohali. The ideal candidate should have hands-on experience in data analysis, machine learning, and programming (Python/R/SQL).Key Skills:Python / R / SQL Machine Learning Data Visualization (Tableau / Power BI) Strong problem-solving skillsRequirements:Bachelor&rsquo;s/Master&rsquo;s in Data Science, Computer Science, or related field2&ndash;3 years of relevant experience.To Apply: Send your resume to [career.sunfocus@gmail.com]Job Types: Full-time, PermanentPay: &#8377;500,000.00 - &#8377;1,200,000.00 per yearBenefits:<ul><li>Paid sick time</li><li>Paid time off</li><li>Work from home</li></ul>Work Location: In person

PtteM

<div>
 
 We are a fast-growing digital commerce company, delivering innovative technology solutions to millions of users globally. Our data science team plays a key role in shaping product decisions, optimizing business operations, and delivering personalized user experiences. We are looking for an experienced
 
 Data Scientist
 
 who is equally comfortable with
 
 Predictive Modeling
 
 and
 
 Natural Language Processing (NLP) / Large Language Models (LLMs)
 
 to deliver full-stack data solutions from raw data to production-ready models.As a Data Scientist, you will work across the entire analytics lifecycle &mdash; from
 
 data exploration and feature engineering
 
 to
 
 model development, deployment, and monitoring
 
 . You will develop predictive models for recommendation systems, demand forecasting and customer behavior analysis, while also building NLP/LLM-powered applications for search, personalization, and automation.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy
 
 ML models
 
 for recommendation, forecasting and optimization problems.
 </li>
 <li>
 Build
 
 NLP and LLM-based solutions
 
 for text classification, summarization, semantic search, and conversational AI.
 </li>
 <li>
 Perform end-to-end data science tasks: data collection, cleaning, feature engineering, and exploratory analysis.
 </li>
 <li>
 Implement
 
 full-stack machine learning pipelines
 
 from experimentation to production deployment.
 </li>
 <li>
 Leverage cloud-based environments (especially GCP) for scalable model training and serving.
 </li>
 <li>
 Collaborate with Product, Engineering, and Business teams to translate requirements into actionable data solutions.
 </li>
 <li>
 Continuously monitor, evaluate, refine and report model performance.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
 </li>
 <li>
 4+ years of experience in applied data science, with expertise in both
 
 predictive analytics and NLP
 
 .
 </li>
 <li>
 Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and experience with ML frameworks (TensorFlow, PyTorch).
 </li>
 <li>
 Hands-on experience with
 
 Hugging Face Transformers
 
 and LLM services.
 </li>
 <li>
 Strong SQL skills and experience with data warehouses (BigQuery or other DBs).
 </li>
 <li>
 Familiarity with MLOps practices and data orchestration tools (MLflow, Airflow).
 </li>
 <li>
 Excellent problem-solving and communication skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with
 
 vector databases
 
 (Pinecone, FAISS, Weaviate) for semantic search and retrieval-augmented generation (RAG).
 </li>
 <li>
 Domain experience in e-commerce or large-scale digital platforms.
 </li>
 <li>
 Understanding of microservices architecture and API-first model serving (e.g.,
 
 Flask
 
 ,
 
 FastAPI
 
 ).
 </li>
 <li>
 Exposure to real-time analytics and streaming data processing (Kafka, Flink).
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Work on
 
 end-to-end data science projects
 
 that combine predictive analytics, NLP, and LLMs.
 </li>
 <li>
 Opportunity to impact millions of users with data-driven innovation.
 </li>
 <li>
 Collaborative and agile work environment.
 </li>
 <li>
 Flexible working arrangements and professional development opportunities.
 </li>
 <li>
 Competitive compensation and benefits package.
 </li>
 </ul>
 
 
</div>

UltraTech Cement

<div>
 
 
 Key Result Areas:
 
 
 <ul>
 <li>
 Continuously assess and provide inputs to refine data science practices and strategies to ensure alignment with evolving business needs (New Fuels, Raw material, Equipment design or technology, or Product innovation) and Industry 4.0 technological advancements.
 </li>
 <li>
 Facilitate the redesign of business processes through digital solutions such as Generative AI and Knowledge graph, adopting a design thinking approach for ideation and employing Agile methodology for efficient execution.
 </li>
 <li>
 Utilize tools and methodologies eg: Python, PowerBI, Orange, GPTs for analyzing trends &amp; patterns within big data sets to inform business decisions across functions &amp; at all levels. Clean, preprocess, &amp; transform the data to ensure it's of high quality, with missing values handled &amp; outliers addressed.
 </li>
 <li>
 Employ advanced analytics techniques for predictive modeling &amp; machine learning algorithms like Neural Networks, XGBoost, Autoencoders etc to improve process and equipment reliability &amp; resilience to ever-increasing external sources of variability.
 </li>
 <li>
 Test, iterate, and deploy above tools as part of Pilot programs, inline with digital strategy roadmap.
 </li>
 <li>
 Conduct hands-on testing and validation of AI/ML models to gauge their effectiveness and refine their performance continually.
 </li>
 <li>
 Work closely with different business units to understand their needs and integrate data science solutions into their digital strategy.
 </li>
 <li>
 Implement continuous monitoring processes for AI models to ensure performance accuracy, detect drift, and make timely adjustments.
 </li>
 <li>
 Ensure seamless handover of solutions to Digital Execution team for scale up, and continuously monitor for improvement areas. Document the entire project, including data sources, methodologies, model architecture, and any decisions made throughout the process.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 B.E/B.tech/ PG in data science
 
 
 
 Location:
 
 Worli, Mumbai
 
 
 
</div>

Data Scientist - AGM/ DGM/ GM

Coursera

<div>
 Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with
 
 183 million registered learners as of June 30, 2025
 
 . Coursera partners with
 
 over 350 leading university and industry partners
 
 to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera's platform innovations enable instructors to deliver scalable, personalized, and verified learning experiences to their learners. Institutions worldwide rely on Coursera to upskill and reskill their employees, citizens, and students in high-demand fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp.
 
 
 We're a global platform aiming to transform lives through learning by offering transformative courses, certificates, and degrees that empower learners worldwide to advance their careers through skill mastery. We're looking for inventors, innovators, and lifelong learners eager to shape the future of education. If you're ready to build the global programs and tools that fuel the power of online learning, join Team Coursera.
 
 
 
 At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration.
 
 
 
 
 Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you.
 
 
 
 
 Job Overview:
 
 
 
 At Coursera, our Data Science team is helping to build the future of education through data-driven decision making and data-powered products. We drive product and business strategy through measurement, experimentation, and causal inference to help Coursera deliver effective content discovery and personalized learning at scale. We believe the next generation of teaching and learning should be personalized, accessible, and efficient. With our scale, data, technology, and talent, Coursera and its Data Science team are positioned to make that vision a reality.
 
 
 We are seeking a highly skilled and collaborative Data Scientist to join our Data Science team. In this role, you will report directly to the Director of Data Science and play a pivotal role in shaping our consumer strategy through data-driven insights and analytics. You will leverage your expertise in user behavior tracking, KPI development and monitoring, instrumentation, A/B testing, and advanced analytics techniques to gain a deep understanding of how users interact with our platform. Your insights will directly inform consumer strategies, product development, enhance user experience, and drive engagement across various segments.
 
 
 Our ideal candidate possesses strong analytical skills, business acumen, and the ability to translate analysis into actionable recommendations that drive product improvements and user engagement. You should have excellent written and verbal communication skills. Collaborating closely with cross-functional teams, you will ensure that data informs every aspect of business decision-making.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Build and automate relevant KPIs to report on business performance.
 </li>
 <li>
 Create interactive dashboards and reports to visualize data and communicate findings effectively to stakeholders.
 </li>
 <li>
 Develop and maintain data pipelines to ensure seamless data flow and accessibility for analysis.
 </li>
 <li>
 Analyze user behavior to provide actionable insights that inform product enhancements and drive user engagement.
 </li>
 <li>
 Conduct A/B testing and experimentation to evaluate the impact of product features and optimize user experience.
 </li>
 <li>
 Perform advanced analytics to uncover trends and patterns in user data, guiding product development decisions.
 </li>
 <li>
 Create interactive dashboards and reports to visualize data and communicate findings effectively to stakeholders.
 </li>
 <li>
 Leverage statistical analysis and predictive modeling to inform product roadmap and strategic decisions.
 
 
 </li>
 </ul>
 
 Basic Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related technical field.
 </li>
 <li>
 
 4-6 years
 
 of experience using data to advise product or business teams, with a focus on product analytics.
 </li>
 <li>
 Strong SQL skills and advanced proficiency in statistical programming languages such as Python, along with experience using data manipulation libraries (e.g., Pandas, NumPy).
 </li>
 <li>
 Knowledge of data pipeline development and best practices in data management.
 </li>
 <li>
 Strong applied statistics skills, including experience with statistical inference techniques, predictive modeling and A/B testing methodologies.
 </li>
 <li>
 Intermediate proficiency in data visualization tools (e.g., Tableau, Power BI, Looker) and a willingness to learn new tools as needed.
 </li>
 <li>
 Excellent business intuition and project management abilities.
 </li>
 <li>
 Effective communication and presentation skills, with experience presenting to diverse teams and stakeholders, from individual contributors to executives.
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Familiarity with the educational technology sector, specifically with platforms like Coursera
 </li>
 <li>
 Experience with Airflow, Databricks and/or Looker
 </li>
 <li>
 Experience with Amplitude
 
 
 </li>
 </ul>
 
 If this opportunity interests you, you might like these courses on Coursera:
 
 
 
 Go Beyond the Numbers: Translate Data into Insights
 
 
 Applied AI with DeepLearning
 
 
 Probability &amp; Statistics for Machine Learning &amp; Data Science
 
 
 Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class.
 
 
 If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org.
 
 
 For California Candidates, please review our CCPA Applicant Notice here.
 
 
 For our Global Candidates, please review our GDPR Recruitment Notice here.
</div>

Data Scientist II - Analytics

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