18 Junior Data Lead jobs in Bahrain
Lead Data Governance Engineer
Canonical
Posted 21 days ago
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Job Description
Canonical is a leading provider of open-source software and operating systems for global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in more than 80 countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
We are hiring a Lead Data Governance Engineer with focus on data governance policies, processes, standards, and monitoring in compliance with internal policies and applicable regulatory frameworks, e.g., GDPR, DPA, ISO, etc. A successful candidate will develop Python-based tooling to automate the operations of an internal data mesh solution such as data labeling and quality metrics in a data, access management and data security best practices.
The Data Governance team in the Commercial Systems unit has a mission to enable a secure and well-governed access to comprehensive data sets originating at many internal and external data sources formed in a data mesh. The team works with well-known open-source data governance tools such as Trino and Ranger, defines and executes data governance processes, and democratizes the data at Canonical.
Location : This role will be based remotely in the EMEA region.
The role entails
- Define, monitor, and execute data governance policies
- Design, implement, and maintain tooling for automated data mesh operations
- Deploy and operate services developed by the team
- Depending on your seniority, coach, mentor, and offer career development feedback
- Develop and evangelize great engineering and organizational practices
- Exceptional academic track record from both high school and university
- Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
- Track record of going above-and-beyond expectations to achieve outstanding results
- Experience with data quality, governance, and security processes and tools
- Experience with software development in Python and SQL
- Professional written and spoken English with excellent presentation skills
- Result-oriented, with a personal drive to meet commitments
- Ability to travel internationally twice a year, for company events up to two weeks long
- Performance engineering and security experience
- Experience with Airbyte, Ranger, Superset, Temporal, or Trino
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
- Distributed work environment with twice-yearly team sprints in person
- Personal learning and development budget of USD 2,000 per year
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Maternity and paternity leave
- Employee Assistance Program
- Opportunity to travel to new locations to meet colleagues
- Priority Pass, and travel upgrades for long haul company events
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
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Lead Data Scientist
2232 Seef, Capital
BHD130000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client is seeking a visionary Lead Data Scientist to spearhead their advanced analytics initiatives. This role is crucial for driving data-informed decision-making across the organization, leveraging complex datasets to extract actionable insights and build predictive models. You will work with a talented team of data analysts and engineers, guiding them on methodologies, tools, and best practices. The ideal candidate possesses a strong blend of technical expertise, business acumen, and leadership skills.
Responsibilities:
Qualifications:
Responsibilities:
- Design and implement sophisticated statistical models and machine learning algorithms to solve challenging business problems.
- Conduct exploratory data analysis to identify trends, patterns, and opportunities.
- Develop and deploy predictive models for forecasting, classification, and anomaly detection.
- Collaborate with stakeholders to define key performance indicators (KPIs) and analytical requirements.
- Communicate complex findings and recommendations clearly and concisely to both technical and non-technical audiences.
- Mentor and guide junior data scientists and analysts.
- Stay abreast of the latest advancements in data science and machine learning.
- Build and maintain data pipelines for model training and evaluation.
- Ensure the ethical and responsible use of data in all analytical processes.
- Contribute to the development of the company's data strategy.
Qualifications:
- Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
- 7+ years of experience in data science, with a proven track record of delivering impactful projects.
- Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong knowledge of SQL and experience with big data technologies (e.g., Spark, Hadoop).
- Demonstrated experience in building and deploying machine learning models in production environments.
- Excellent understanding of statistical concepts and experimental design.
- Exceptional analytical, problem-solving, and critical-thinking abilities.
- Strong leadership and communication skills, with the ability to influence cross-functional teams.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
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1
Lead Data Privacy Counsel
10901 Bilad Al Qadeem, Capital
BHD180000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client, a rapidly expanding technology firm, is seeking a highly accomplished Lead Data Privacy Counsel to join their fully remote legal team. This pivotal role will be responsible for overseeing all aspects of data privacy compliance and strategy across the organization. You will provide expert legal guidance on data protection regulations, including GDPR, CCPA, and other relevant international frameworks. Your responsibilities will include developing and implementing robust data privacy policies and procedures, conducting privacy impact assessments, managing data breach response, and advising on privacy-related aspects of product development and marketing initiatives. This is an excellent opportunity for a seasoned privacy lawyer to make a significant impact in a dynamic, global business.
Responsibilities:
Qualifications:
Responsibilities:
- Develop, implement, and maintain comprehensive data privacy policies, procedures, and guidelines in compliance with global regulations.
- Serve as the primary legal advisor on all matters related to data privacy, data protection, and cybersecurity.
- Conduct regular privacy risk assessments and audits, identifying potential vulnerabilities and recommending mitigation strategies.
- Advise product, engineering, marketing, and HR teams on privacy-by-design principles and data protection requirements throughout the product lifecycle.
- Manage and respond to data subject requests and regulatory inquiries.
- Lead the company's response to data breaches and security incidents, coordinating with relevant internal and external stakeholders.
- Provide training and awareness programs to employees on data privacy best practices.
- Stay current with evolving data privacy laws and regulations globally and advise on their implications for the business.
- Negotiate and review data processing agreements and other privacy-related contractual clauses.
Qualifications:
- Juris Doctor (J.D.) or equivalent law degree from an accredited institution.
- Admission to practice law in at least one relevant jurisdiction.
- Minimum of 8 years of progressive legal experience, with a significant focus on data privacy and cybersecurity law.
- In-depth knowledge of global data protection laws and regulations (e.g., GDPR, CCPA, PIPEDA, LGPD).
- Experience in advising technology companies on privacy matters.
- Strong analytical and problem-solving skills, with the ability to provide practical, business-oriented legal advice.
- Excellent written and verbal communication skills, with the ability to explain complex legal concepts clearly and concisely.
- Demonstrated ability to manage complex projects and work independently in a remote environment.
- CIPP (Certified Information Privacy Professional) certification is highly desirable.
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2
Lead Data Scientist - Project Management
701 Muharraq, Muharraq
BHD120000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client is seeking an experienced Lead Data Scientist to spearhead critical projects within their organization. This pivotal role requires a blend of deep analytical expertise, strategic thinking, and strong project management capabilities. You will lead a team of data scientists and analysts, guiding them through the entire project lifecycle from conceptualization and data acquisition to model development, deployment, and performance monitoring. Your responsibilities will include defining project scope, objectives, and deliverables, ensuring alignment with business goals. You will oversee the application of advanced statistical techniques, machine learning algorithms, and data mining methods to solve complex business problems. This includes developing predictive models, optimizing processes, and generating actionable insights from large datasets. Effective stakeholder management and clear communication of complex technical findings to both technical and non-technical audiences are crucial. You will be responsible for project planning, resource allocation, risk management, and ensuring projects are delivered on time and within budget. The ideal candidate possesses a Ph.D. or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics), extensive experience in data science, and a proven ability to lead and mentor data science teams. Expertise in programming languages such as Python or R, proficiency with big data technologies (e.g., Spark, Hadoop), and experience with cloud platforms (AWS, Azure, GCP) are required. A strong understanding of project management methodologies is essential.Location: Muharraq, Muharraq, BH
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3
Lead Data Scientist - AI Research
1050 Saar, Northern
BHD120000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client is at the forefront of scientific innovation and is seeking a highly experienced Lead Data Scientist to spearhead their Artificial Intelligence research initiatives. This role offers a hybrid work model, blending remote flexibility with in-office collaboration opportunities in **Saar, Northern, BH**. You will lead a team of talented data scientists and researchers in developing cutting-edge AI models and solutions that address complex scientific challenges. The ideal candidate possesses a strong academic background, extensive practical experience in machine learning and deep learning, and a proven ability to translate research findings into actionable insights and products. You will be instrumental in shaping the future direction of AI within our organization.
Responsibilities:
Qualifications:
Join our groundbreaking team and shape the future of scientific discovery in **Saar, Northern, BH**.
Responsibilities:
- Lead and mentor a team of data scientists and researchers focused on AI and machine learning.
- Design and implement advanced machine learning algorithms and deep learning models for research and development.
- Conduct exploratory data analysis to identify patterns, trends, and insights from large datasets.
- Develop and deploy scalable AI solutions for various scientific applications.
- Collaborate with domain experts to understand research problems and translate them into data science challenges.
- Stay abreast of the latest advancements in AI, machine learning, and relevant scientific fields.
- Publish research findings in reputable conferences and journals.
- Design and execute experiments to validate model performance and impact.
- Contribute to the architectural design of data pipelines and AI infrastructure.
- Present research findings and project updates to technical and non-technical stakeholders.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field with a focus on AI/ML.
- Minimum of 8 years of experience in data science, with at least 3 years in a leadership or lead role.
- Demonstrated expertise in machine learning, deep learning, natural language processing, and computer vision.
- Proficiency in programming languages such as Python, R, and libraries like TensorFlow, PyTorch, Scikit-learn.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Strong understanding of statistical modeling, experimental design, and data mining techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to lead research projects from conception to completion.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Experience with scientific research methodologies and publication is highly desirable.
Join our groundbreaking team and shape the future of scientific discovery in **Saar, Northern, BH**.
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4
Lead Data Scientist - Predictive Analytics
42310 Bilad Al Qadeem, Capital
BHD110000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client is searching for a visionary Lead Data Scientist to spearhead their advanced analytics and predictive modeling efforts. This pivotal role demands a blend of deep technical expertise, strategic thinking, and exceptional leadership capabilities. You will be instrumental in shaping the future of data-driven decision-making by building and deploying sophisticated machine learning models that solve complex business challenges. The Lead Data Scientist will guide a talented team of data scientists, fostering a culture of innovation and continuous learning. Your responsibilities will include identifying new opportunities for data utilization, designing robust data pipelines, developing cutting-edge algorithms, and translating complex findings into actionable business insights. You will work closely with various departments, including product development, marketing, and operations, to understand their needs and deliver tailored analytical solutions. Expertise in statistical modeling, machine learning techniques, and data visualization is paramount. This role requires a proactive approach to problem-solving, a keen eye for detail, and the ability to communicate technical concepts effectively to both technical and non-technical audiences. The successful candidate will champion data governance and best practices, ensuring the integrity and security of our data assets. This is a unique chance to influence strategic direction and drive significant business value through the power of data. The opportunity is located in Tubli, Capital, BH .
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of predictive models and machine learning algorithms.
- Mentor and guide a team of data scientists, fostering their professional growth.
- Identify business problems and opportunities where data science can provide solutions.
- Develop and maintain data pipelines for model training and deployment.
- Collaborate with cross-functional teams to define project requirements and deliver insights.
- Communicate complex analytical findings and recommendations to stakeholders clearly and concisely.
- Stay abreast of the latest advancements in data science, machine learning, and AI.
- Ensure data quality, integrity, and ethical use of data.
- Contribute to the company's data strategy and roadmap.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of experience in data science, with a proven track record of leading projects and teams.
- Strong proficiency in programming languages such as Python or R.
- Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Deep understanding of statistical modeling, time series analysis, and experiment design.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Excellent problem-solving and analytical skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
- Demonstrated ability to manage projects and deliver results in a fast-paced environment.
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5
Lead AI Data Scientist
472 Galali
BHD140000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client is at the forefront of AI innovation and is looking for a talented Lead AI Data Scientist to join their dynamic team. This role is crucial for driving the development and implementation of cutting-edge AI solutions that solve complex business challenges. You will lead a team of data scientists, mentor junior members, and collaborate with engineering and product teams to bring advanced AI models from concept to production. This hybrid role offers a balanced approach to work, combining remote flexibility with essential in-office collaboration. Responsibilities:
- Lead the design, development, and deployment of machine learning models and AI algorithms.
- Mentor and guide a team of data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with stakeholders to understand business needs and translate them into data science problems.
- Perform advanced statistical analysis, data mining, and predictive modeling.
- Develop and maintain robust data pipelines for model training and evaluation.
- Stay current with the latest advancements in AI, machine learning, and data science research.
- Communicate complex findings and insights effectively to both technical and non-technical audiences.
- Oversee the selection and implementation of appropriate tools and technologies for AI development.
- Ensure the scalability, reliability, and performance of AI solutions in production environments.
- Contribute to the strategic direction of AI initiatives within the company.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Minimum of 7 years of experience in data science and machine learning, with at least 2 years in a leadership role.
- Proven expertise in developing and deploying various machine learning algorithms (e.g., deep learning, NLP, computer vision).
- Strong proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent understanding of statistical modeling, experimental design, and data visualization.
- Strong leadership, communication, and project management skills.
- Ability to work effectively in a hybrid environment, balancing remote and in-office collaboration.
- Experience with MLOps practices is a plus.
- Demonstrated ability to drive business value through data-driven insights and AI solutions.
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6
Remote Lead Data Scientist - Blockchain Analytics
80220 Jbeil
BHD160000 Annually
WhatJobs
Posted today
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Job Description
Join our innovative team as a Remote Lead Data Scientist specializing in Crypto & Blockchain at our client's organization. We are looking for a visionary leader to drive the development and deployment of cutting-edge analytical solutions that leverage blockchain data. This role is fully remote, allowing you to contribute from anywhere in the world while collaborating with a highly skilled and distributed team.
Your primary responsibilities will include designing and implementing advanced machine learning models to analyze complex blockchain datasets, identifying trends, detecting anomalies, and predicting market movements. You will lead a team of data scientists and engineers, providing technical guidance, mentoring, and fostering an environment of innovation and collaboration. Developing scalable data pipelines, optimizing data extraction and transformation processes from various blockchain networks, and ensuring data integrity and accuracy will be crucial. You will also work closely with product managers and stakeholders to translate business requirements into data-driven insights and actionable strategies. The ideal candidate will possess a strong understanding of blockchain technology, cryptocurrencies, smart contracts, and decentralized finance (DeFi). You will be expected to stay abreast of the latest developments in the blockchain space and continuously explore new analytical techniques and tools.
Required qualifications include a Master's or Ph.D. in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field. A minimum of 7 years of professional experience in data science, with at least 3 years in a leadership role, is essential. Extensive experience with blockchain data analysis, including proficiency in languages like Python (with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch), SQL, and relevant blockchain exploration tools (e.g., Dune Analytics, Nansen). Deep understanding of cryptography, consensus mechanisms, and smart contract auditing. Proven ability to design, build, and deploy machine learning models in production environments. Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences. Experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Hadoop) is a plus. This is an exceptional opportunity for a motivated data science leader to shape the future of blockchain analytics in a fully remote capacity.
Your primary responsibilities will include designing and implementing advanced machine learning models to analyze complex blockchain datasets, identifying trends, detecting anomalies, and predicting market movements. You will lead a team of data scientists and engineers, providing technical guidance, mentoring, and fostering an environment of innovation and collaboration. Developing scalable data pipelines, optimizing data extraction and transformation processes from various blockchain networks, and ensuring data integrity and accuracy will be crucial. You will also work closely with product managers and stakeholders to translate business requirements into data-driven insights and actionable strategies. The ideal candidate will possess a strong understanding of blockchain technology, cryptocurrencies, smart contracts, and decentralized finance (DeFi). You will be expected to stay abreast of the latest developments in the blockchain space and continuously explore new analytical techniques and tools.
Required qualifications include a Master's or Ph.D. in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field. A minimum of 7 years of professional experience in data science, with at least 3 years in a leadership role, is essential. Extensive experience with blockchain data analysis, including proficiency in languages like Python (with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch), SQL, and relevant blockchain exploration tools (e.g., Dune Analytics, Nansen). Deep understanding of cryptography, consensus mechanisms, and smart contract auditing. Proven ability to design, build, and deploy machine learning models in production environments. Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences. Experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Hadoop) is a plus. This is an exceptional opportunity for a motivated data science leader to shape the future of blockchain analytics in a fully remote capacity.
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7
Remote Lead Data Scientist - Scientific Research
1015 Saar, Northern
BHD130000 Annually
WhatJobs
Posted today
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Job Description
Our client, a cutting-edge research institution, is seeking a highly skilled and innovative Lead Data Scientist to drive advancements in scientific research through sophisticated data analysis and modeling. This is a fully remote position, offering a unique opportunity to contribute to groundbreaking scientific discoveries from anywhere. The ideal candidate will possess a Ph.D. or Master's degree in a quantitative field such as Computer Science, Statistics, Physics, or a related discipline, with a strong background in scientific research and a proven track record of applying advanced data science techniques to complex datasets. You will lead a team of data scientists and researchers, mentor junior team members, and champion best practices in data analysis, machine learning, and statistical modeling. Responsibilities include designing and implementing data-driven research projects, developing predictive models, performing rigorous statistical analysis, visualizing complex data for interpretation, and collaborating with scientific teams to translate research findings into actionable insights. You will be responsible for managing large and complex datasets, ensuring data integrity, and developing scalable analytical solutions. Staying abreast of the latest developments in data science, machine learning, and relevant scientific fields is crucial. The ability to communicate complex technical concepts effectively to both technical and non-technical audiences is essential. This role demands a creative, curious, and results-oriented individual passionate about leveraging data to push the boundaries of scientific knowledge and innovation.
Responsibilities:
Responsibilities:
- Lead the design and execution of data science initiatives for scientific research projects.
- Develop and implement advanced statistical models and machine learning algorithms.
- Analyze large, complex datasets to uncover trends, patterns, and insights.
- Collaborate closely with research scientists to interpret results and inform research direction.
- Mentor and guide junior data scientists and research analysts.
- Ensure data quality, integrity, and efficient data management practices.
- Communicate complex findings clearly and effectively to diverse stakeholders.
- Stay current with advancements in data science, AI, and relevant scientific disciplines.
- Contribute to the development of new research methodologies and tools.
- Drive innovation by exploring novel applications of data science in research.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, Bioinformatics, or a related quantitative field.
- 8+ years of experience in data science or advanced analytics, with a focus on scientific research.
- Proven experience in leading data science projects and teams.
- Expertise in machine learning, statistical modeling, and data mining techniques.
- Proficiency in programming languages such as Python or R and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong experience with big data technologies and database management (SQL, NoSQL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Superb communication and presentation abilities.
- Experience in specific scientific domains (e.g., genomics, astrophysics, materials science) is a significant plus.
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8
Lead Data Scientist - E-commerce Analytics
00110 Tubli
BHD140000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Our client is a pioneering force in the online retail space, dedicated to leveraging data to create exceptional customer experiences and drive business growth. We are seeking a highly skilled and motivated Lead Data Scientist to spearhead our e-commerce analytics initiatives. This is a fully remote position, offering you the flexibility to work from anywhere while shaping the future of our data-driven strategies. You will lead a team of talented data scientists, developing advanced analytical models, and providing critical insights that inform key business decisions across product, marketing, and operations.
Key responsibilities include:
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field, with a strong emphasis on machine learning and data analytics. A minimum of 6-8 years of experience in data science roles, with at least 2 years in a leadership or mentoring capacity, is required. Proven experience in e-commerce analytics, including customer segmentation, A/B testing, recommendation systems, and predictive modeling, is essential. Expertise in Python or R, SQL, and experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) are mandatory. Strong communication, presentation, and stakeholder management skills are critical. You should be adept at translating business problems into analytical solutions and driving tangible business outcomes. This role offers an exciting opportunity to lead and innovate in a fast-paced, remote-first environment, making a significant impact on the success of our online retail operations. We are committed to attracting top talent globally.
Location: A'ali, Northern, BH
Key responsibilities include:
- Lead the design, development, and deployment of advanced machine learning models and statistical analyses to address complex e-commerce challenges.
- Mentor and guide a team of data scientists, fostering a culture of innovation, collaboration, and technical excellence.
- Identify new opportunities for data-driven insights and product innovation within the e-commerce platform.
- Collaborate closely with product managers, engineers, and business stakeholders to translate data insights into actionable strategies.
- Develop and maintain robust data pipelines and analytical frameworks for tracking key performance indicators (KPIs) and customer behavior.
- Conduct deep-dive analyses into customer segmentation, purchase patterns, recommendation engines, and conversion optimization.
- Present complex analytical findings and recommendations clearly and concisely to both technical and non-technical audiences.
- Stay at the forefront of data science techniques and tools, championing best practices and exploring new methodologies.
- Ensure the quality, integrity, and scalability of data analysis and model development.
- Contribute to the strategic direction of the data science function within the organization.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field, with a strong emphasis on machine learning and data analytics. A minimum of 6-8 years of experience in data science roles, with at least 2 years in a leadership or mentoring capacity, is required. Proven experience in e-commerce analytics, including customer segmentation, A/B testing, recommendation systems, and predictive modeling, is essential. Expertise in Python or R, SQL, and experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) are mandatory. Strong communication, presentation, and stakeholder management skills are critical. You should be adept at translating business problems into analytical solutions and driving tangible business outcomes. This role offers an exciting opportunity to lead and innovate in a fast-paced, remote-first environment, making a significant impact on the success of our online retail operations. We are committed to attracting top talent globally.
Location: A'ali, Northern, BH
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