47 Data Team jobs in Oman

• Bachelor's degree in Computer Science or a related field.
• 1-2 years of experience in data analysis or data engineering.

Skills / Knowledge:

• Familiarity with programming languages like Python, R, or SQL.
• Solid understanding of statistical and machine learning concepts.
• Strong problem-solving and analytical skills.
• Excellent data visualization and presentation skills.
• Excellent communication and technical documentation abilities.
• Strong leadership and mentoring abilities.
• Ability to work collaboratively and learn quickly.
• Well-developed interpersonal skills and excellent communications skills in English.
• Respect & Integrity
• Problem Solving & Decision Making

The Junior Data Science Engineer supports data analysis projects by building and maintaining models, pipelines, and tools under the guidance of senior team members.

• Assist in designing, developing, and implementing advanced data models and predictive analytics to solve business problems and drive decision-making.
• Build, maintain, and optimize scalable and efficient data pipelines to facilitate seamless data integration and processing across the organization.
• Conduct comprehensive exploratory data analysis to uncover insights, trends, and patterns, and present findings in a clear and actionable manner.
• Support the implementation and optimization of machine learning algorithms, ensuring they meet performance, accuracy, and scalability requirements.
• Work closely with cross-functional teams, including business stakeholders and senior data scientists, to understand requirements and deliver tailored data-driven solutions.
• Develop and maintain thorough documentation of data processes, models, and methodologies to ensure reproducibility and transparency.
• Prepare detailed reports and dashboards to communicate insights and progress to stakeholders.
• Stay up-to-date with emerging trends, tools, and methodologies in data science and analytics.
• Actively contribute to improving teamwork flows and adopting innovative approaches to solving challenges.

SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.

Responsibilities:

• Develop and implement the overall data science vision, strategy, and framework to align with organizational goals
• Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning
• Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights
• Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency
• Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges
• Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies
• Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth
• Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies
  
  

• Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field
• A minimum of 7+ years of experience in data science or analytics, with 3+ years in a leadership role managing data science teams
• Proficient in programming languages such as Python, R, and experience with big data technologies (e.g., Hadoop, Spark)
• Deep understanding of machine learning techniques, statistical modeling, and advanced analytics methodologies
• Proven track record of successfully leading and delivering large-scale data science projects that drive business value
• Expertise in data visualization tools (e.g., Tableau, Power BI) for effectively communicating complex analyses
• Strong project management skills and ability to lead teams in a fast-paced environment
• Excellent analytical and strategic thinking skills, with a focus on results
• Outstanding communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders in English and Arabic
  
  

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

About PhazeRo

PhazeRo is a forefront leader in data science and technology solutions, delivering powerful analytics and transformative insights across various industries. We pride ourselves on a culture that nurtures innovation, collaboration, and intellectual growth. By joining PhazeRo, you will have the opportunity to shape the direction of cutting-edge data strategies and lead a talented team eager to drive impactful outcomes.

Position Overview

We are seeking a Head of Data Science to lead our data science initiatives and strategically drive our analytics capabilities. In this role, you will oversee the entire data science function, setting the vision and strategy while ensuring the delivery of high-quality data-driven solutions. You will collaborate closely with cross-functional teams to identify opportunities where data science can add value and effectively communicate insights to stakeholders at all levels.

Key Responsibilities

• Lead and mentor a dynamic team of data scientists and analysts, fostering a culture of continuous learning and innovation.
• Develop and execute a comprehensive data science strategy aligned with business objectives.
• Collaborate with stakeholders to define data-driven solutions and ensure project delivery meets timelines and quality standards.
• Oversee the design, implementation, and evaluation of complex machine learning models and algorithms.
• Bridge between technical teams and business units, effectively presenting key findings and recommendations.
• Stay abreast of the latest trends and advancements in data science and technology, incorporating them into our strategy and methodologies.
• Manage relationships with external partners and vendors to enhance our data science capabilities.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field.
• At least 7 years of experience in data science and analytics, with a proven track record in a leadership role.
• Strong expertise in machine learning, data mining, statistical analysis, and predictive modeling.
• Proficiency in programming languages such as Python, R, or Scala and experience with data visualization tools.
• Demonstrated experience in deploying models into production and working with big data technologies (e.g., Hadoop, Spark).
• Excellent leadership and team management skills with a focus on developing talent.
• Outstanding communication skills, capable of conveying complex technical concepts to non-technical audiences.
• Strong analytical and problem-solving mindset, with a passion for leveraging data to drive business outcomes.

Benefits

• An honest, entrepreneurial, collaborative, high performance culture.
• Infinite opportunities to learn from industry veterans.
• Access to growing network of world class advisors that work or have worked at: Google, Facebook, Twitter and GitHub.
• A fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure.

Canonical is building a comprehensive suite of multi-cloud and on-premise data solutions for the enterprise. We want to make it easy to operate any database on any cloud, or on premise. The data platform team covers the full range of data stores and data technologies, spanning from big data, NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines like Postgres and MySQL. We aim to deliver fault-tolerant mission-critical distributed systems, and the world's best data platform.

We are looking for technical Engineering Managers to lead teams focused on Big Data and MySQL databases. We write code in Python and encode modern operational practices for data applications at scale on Kubernetes and cloud machines.

Location: This role can be filled in European, Middle East, African or any American region / time zone.

What your day will look like

• You will lead a team building scalable data solutions for Kubernetes and cloud machines
• You will hire, coach, mentor, provide feedback, and lead your team by example
• You will demonstrate sound engineering skill by directly contributing code when needed
• Effectively set and manage expectations with other engineering teams, senior management, and external stakeholders
• Advocate modern, agile software development practices
• Develop and evangelize great engineering and organizational practices
• Ensure that your team delivers excellent products that users love by maintaining a culture of quality and engineering excellence
• Grow a healthy, collaborative engineering culture aligned with the company's values.
• Be an active part of the leadership team and collaborate with other leaders in the organization
• Work from home with global travel twice yearly, for internal events of one or two weeks duration
  
  

• A software engineering background, preferably with Python and Golang experience
• Experience running in production and at scale, preferably Big Data or MySQL
• Excellent judgement about people - their motivations, abilities, developmental needs, and prospects for success
• Proven ability to build high-quality, open-source software
• Proven to drive good engineering practices around performance and quality
• An open-minded attitude to new technologies and the drive to push the boundaries of what is possible
• The ambition to build products that improve how people operate software and infrastructure everywhere
• Love developing and growing people and have a track record of doing it
• Knowledgeable and passionate about software development
  
  

• Specialist knowledge in one or more of Spark, Superset, MySQL, or similar
• Prior experience working with open source and a will to build products with the community
  
  

• Fully remote working environment - we've been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at 'sprints'
• Priority Pass for travel and travel upgrades for long haul company events
  
  

Execute end-to-end process for the maintenance of all existing Subsurface Databases

Execute end-to-end process for well and reservoir data in share drives

Work with Vendors to receive, QC, store and publish the relevant Well, Log and Reservoir data

Ensure and participate in the development and implementation of the upstream technical data operating model/data frameworks (i.e. governance, quality, etc.)/guidelines, roadmaps / data standards / best practices while maintaining the highest standards of data quality, accessibility, extraction and connectivity to the upstream Petro technical applications.

Define and govern the data stewardship for the company upstream technical data to ensure compliance with data governance, enhance data quality and ensure clear accountability for stewardship of the company data assets.

Participate in the development of the upstream technical data strategy, governance initiatives/activities (policies, procedures, structures, roles and responsibilities) to serve the upstream data users across OQEP and to maximize the upstream technical data full potential.

Promote across the organization awareness of general data management principles through knowledge sharing channels like awareness sessions, training, etc.

Develop and execute data science projects using machine learning and other data science analysis techniques

Work with vendors on new technologies related to data analysis and AI

Bachelor s degree in computer science/information technology/ or engineering preferably in subsurface discipline, postgraduate degree is preferable.

8+ years of experience in information technology and relevant business disciplines

Experience in Document management applications like Documentum D2

Experience in WebGIS application

Experience in handling large data sets

Experience in handling live data sources

Experience in handling different data types

Experience with machine learning, neural networks and AI

Soft:

• Detail-oriented.
• Interpersonal skills.
• Reliable.
• Problem-solving skills.
• Organizational skills.
• Strong written and verbal communication skills
• Presentation skills.
• Encourage engagement.
• Be organized.
• Interest in helping businesses and organizations succeed through innovation and fresh thinking.
• Ability to easily digest and simplify complex concepts into easy-to-understand summaries.
• A flexible attitude to work assignments.

Technical:

• Computer Literacy including MS Office
• Experience in Python and/or other coding languages
• Experience in managing large datasets
• SAP experience is a Plus
• APEX/SQL experience is a Plus
• C++ and Java experience is a major plus
• Experience Mobile APP development is major plus

Location: Onsite in Muscat, Oman (candidates open to relocation or frequent travel are welcome to apply)

We are looking for an experienced Data Architect to design and implement scalable, high-performance data solutions. The role involves leading data architecture initiatives, overseeing system migrations to Oracle Cloud Infrastructure (OCI), and ensuring optimal data integration, governance, and quality across environments.

• Collaborate with stakeholders to understand and define data requirements.
• Lead a technical team in planning and implementing cohesive data architecture solutions.
• Manage the migration of existing systems and applications to Oracle Cloud Infrastructure (OCI).
• Integrate OCI services with on-premises or multi-cloud environments.
• Analyze and translate business and data requirements into technical specifications.
• Monitor and troubleshoot data integration workflows and resolve issues efficiently.
• Optimize ETL processes for high performance, scalability, and data integrity.
• Document ETL workflows and maintain comprehensive data transformation records.
• Conduct code reviews and provide technical guidance to ensure quality standards.
• Advise project teams on data technology usage, tools, and best practices.
• Mentor team members and foster a collaborative technical culture.
• Develop and maintain reusable data architecture patterns, frameworks, and tools.
• Oversee critical steps in the software development life cycle.
• Ensure end-to-end integrity and alignment of technical data solutions with architectural standards.
• Contribute to agile development practices in distributed team environments.

• 8+ years of relevant professional experience in data architecture or related fields.
• Strong hands-on experience with Oracle Cloud Infrastructure (OCI).
• Proven experience using Oracle Data Integrator (ODI).
• Solid understanding of ETL concepts and data integration best practices.
• Experience in OLAP, OLTP, Data Warehouse, Data Lakehouse, and Data Mart design.
• Strong skills in SQL and relational database development.
• Excellent problem-solving and analytical abilities.
• Knowledge of Data Governance principles (Data Catalog, Data Lineage).
• Experience in high-volume data environments and performance tuning in ODI.
• Strong written and verbal communication skills in English.
• Bachelor’s degree in Computer Science, Computer Engineering, or a related field.

Get AI-powered advice on this job and more exclusive features.

At Nortal we believe in thinking big – creating solutions that have a meaningful, far-reaching impact, whether through digitizing governments, improved healthcare, convenient telecom services or creating a competitive edge and agility for large businesses, industry, and manufacturing companies. Our projects have touched more than half a billion people’s lives worldwide, and we’re just getting started. To reach our ambitious goals, we are looking for Data Architect .

Role is onsite in Muscat, Oman, but we are open for all the candidates that are willing to relocate or are able to travel to Oman for few weeks frequently. This position can be both office-based and remote.

• Work with stakeholders to understand data requirements and deliver solutions
• Lead technical team in the planning and implementation of a cohesive data solution architecture
• Lead the migration of existing systems and applications to Oracle Cloud Infrastructure (OCI)
• Integrate OCI services with existing on-premises or other cloud environments
• Analyze and translate data requirements into technical specifications
• Monitor and troubleshoot data integration workflows for issues
• Optimize ETL processes to ensure high performance and data integrity
• Document ETL processes and maintain accurate records of data transformations
• Participate in code reviews and provide constructive feedback to peers
• Provide expert advice to project team on use of data solution technology and best practices
• Support and mentor technical team and clients in building a collaborative and effective work culture
• Drive the development of data solution architecture patterns, tools, and practices that can be used by the team
• Raise technical issues to the correct forum and seek assistance from other architecture capabilities
• Oversee critical steps within the software development life cycle
• Be accountable for the end-to-end integrity of the technical data solution delivered
• Assure that all deliverables are built to specification and align with the agreed architecture
• Prefer to work on agile software development projects with globally distributed teams

• At least 8 years of relevant industry experience
• Strong understanding of Oracle Cloud Infrastructure (OCI)
• Proven experience working with Oracle Data Integrator (ODI)
• Strong understanding of ETL concepts and data integration best practices
• Exposure to OLAP, OLTP, Data Warehouse, Data Lakehouse, Data Mart development, Fact and Dimensional DB designs
• Experience with SQL and relational databases
• Excellent problem-solving and analytical skills
• Familiarity with Data Governance (Data Catalog, Data Lineage) demonstrated through past projects
• Experience in high data volume environments and performance tuning in ODI
• Good communication skills (spoken and written) with fluent English as essential
• Bachelor’s degree in computer science, computer engineering, or a closely related field

• Mid-Senior level

• Full-time

• Engineering and Information Technology

• IT Services and IT Consulting

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SWATX is looking for a talented and driven Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to extract insights from complex datasets and drive data-driven decision making within the organization. You will work closely with business stakeholders to identify opportunities for leveraging data to improve products, services, and overall business performance.

Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategies
• Develop and implement predictive models and machine learning algorithms to solve complex business problems
• Collaborate with cross-functional teams to understand data requirements and provide analytical solutions that meet business needs
• Design and conduct experiments to test hypotheses and validate results
• Communicate findings and recommendations to stakeholders through presentations and reports
• Continuously monitor and improve model performance through regular updates and refinements
• Stay updated with the latest advancements in data science, machine learning, and AI technologies to apply best practices in your work
• Build and maintain data pipelines to ensure the availability of data for analysis and reporting
• Work with data engineering teams to ensure data is collected and stored effectively for analysis
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience as a Data Scientist or in a similar analytical role
• Strong programming skills in Python, R, or similar languages
• Proficiency in SQL and experience with relational and non-relational databases
• Experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras)
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) for communicating results
• Understanding of statistical concepts and methodologies, and experience applying them to real-world scenarios
• Excellent analytical and problem-solving skills
• Strong communication skills, both verbal and written, in English and Arabic
  
  

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer
• SAS Certified Data Scientist

Job Title: Data Scientist

Lime Vizio Inc is a premier floral and gifting company, delivering flowers since 2010. LIME VIZIO has a tradition of excellence in flower delivery, and today we are one of the largest and most trusted online floral and gift retailers in the US and Canada.

LIME VIZIO takes pride in being a leader in quality, innovation, artistry, and dependability. Our entrepreneurial culture and unwavering commitment to our people create a dynamic work environment that celebrates collaboration, quality, superior service, and constant innovation.

• 3 - 5 years of data science experience
• Experience with supporting cloud-based ML pipeline/operationalization.
• Experience creating machine learning applications, data-processing pipelines, monitoring results / iterating after launch.
• Experience engineering information from massive, sophisticated datasets (e.g. Spark, MongoDB, Snowflake, BigQuery).
• Develop infrastructure and “pipelines” for handling data, applying generalization and abstraction layers to enhance efficiency and sustainability of data architecture
• Experience with statistical software (e.g., R, Python) and database languages (e.g., SQL)
• Experience with containerization and cloud-based deployments (eg. GCP, AWS, Azure)
• Experience using neural networks for time-series modeling is a plus
• High tolerance for ambiguity
• Ability to effectively work with business leads and data scientists
• Strong verbal and written communication skills, ability to synthesize conclusions for non-experts, and desire to influence business decisions

• Own the full Data Science life-cycle from conception to prototyping, testing, deploying, and measuring its overall business value
• Design machine learning models to predict user behaviors and implement experiments to measure how they respond to our strategies.
• Uncover insights in our user clickstream, pricing, and product data to provide tactical guidance on how to act on findings.
• Integrate your algorithmic solutions into our technology platforms to run at scale and directly change the customer experience on-site
• Scope concrete data science solutions to ambiguous business problems.
• Develop personalized recommendation systems that leverage machine learning models to serve relevant content to customers
• Drive measurable business value collaborating with cross-functional business and technical teams
• Partner with engineering to scale and deploy machine learning models