Data Science Manager

ASC - Data Scientist

Regional Medical Visit Manager - Riyadh/Eastern Region

ASC - Downstream Data Scientist

Data Analyst (1 year contract)

Technical Program Manager

Business System Analyst I - Central Finance

ASC - AI

Partner Sales Director

ASC - Business Sys Analyst I (AI)

Purpose of Job Role: <ul><li>work with a Analytics team (in the Front - business line) and will have the primary responsibility for generating data products (reports, applications) to meet business needs</li><li>collaborate as part of a cross functional team with business departments (Commercial, Marketing, Strategy, etc.) and IT (data engineering)</li><li>support stakeholders in choosing the best approach to achieve business goals with data insights, reporting and data models; always having in mind how these teams will use, consume or interact with the data products</li><li>partner with IT to secure data models are built leveraging best practices and ensuring KPI automation</li><li>lead Data scientists team and support the designing of different solutions: best-in-class visualization, hypothesis testing (A/B testing), advanced models and algorithms deployments</li><li>The successful candidate should be able to think/act strategically, develop structured and well designed data processes to fully connect the flow from back to front, being able to understand business needs and prioritize/align requirements to the business and Analytics strategy; he will also play a role model within Analytics team.</li></ul> Responsibilities: <ul><li>Develop strategical reports and dashboards with a Proof of Value and scalability approach</li><li>Develop and implement data products for main stakeholders (Commercial, Marketing, Finance departments)</li><li>Work as a translator between business and IT departments for KPIs definition and automation. Coordinate user-focused documentation for the data solutions</li><li>Collaborate with architects from the IT department to support data governance and quality efforts</li><li>Support requests prioritization to align workload to business strategy</li><li>Coordinate and develop teams of Data Scientists</li><li>Communicate insights, data products and reports status and results clearly to the partners</li><li>Negotiate requests, workloads and team assignment with different partners</li></ul> Requirements: <ul><li>Bachelor’s degree in Mathematics, Actuary, Economy, Engineering, Computer science</li><li>Masters degree in Data Science, Computer Science, Statistics or related area is a plus</li><li>5+ years’ proven experience working on Data Visualization, Data Science, Machine Learning</li><li>Advanced experience with programming languages for data modeling (SQL, R, Python)</li><li>Advanced experience working with Business Intelligence platforms and tools (Microsoft Power BI)</li><li>Experience with Matillion is a plus</li><li>Project Management &amp; communication skills</li><li>Problem solving/critical thinking mindset</li><li>Highly organized</li><li>Data storytelling and communication skills</li><li>Proficiency in English</li></ul>

Responsibilities: Will be required to perform the following: <ul><li>Design, develop, and deploy scalable data-driven solutions using Flask, integrating with Microsoft SQL Server.</li><li>Lead projects involving NLP, LLMs, and Generative AI, delivering innovative solutions.</li><li>Collaborate with cross-functional teams to understand business needs and translate them into technical specifications.</li><li>Conduct advanced statistical analysis and predictive modeling to extract actionable insights.</li><li>Develop intuitive front-end interfaces to present complex data in an accessible manner.</li><li>Maintain and enhance back-end systems for optimal performance and scalability.</li><li>Mentor junior team members and contribute to knowledge sharing within the team.</li><li>Stay abreast of emerging trends in AI, machine learning, and software development.</li></ul> Requirements: <ul><li>The successful candidate should hold a Bachelor’s degree in in Data Science, Computer Science, or a related field from a recognized and approved program.</li><li>Should have at least 5 years experience in Natural Language Processing, and at least a few years’ experience in Large Language Models in addition to:</li><li>At least 5 years of professional experience in data science and full-stack development.</li><li>Proficiency in Flask, Microsoft SQL Server, and front-end technologies.</li><li>Proven expertise in NLP, LLMs, and Generative AI.</li><li>Strong foundation in statistics, machine learning, and algorithm design.</li><li>Excellent problem-solving skills and ability to think algorithmically.</li><li>Strong communication skills, with the ability to translate complex concepts to non-technical stakeholders.</li></ul>

Responsibilities: <ul><li>Maximize revenue and market share int he region by driving sales activity and providing leadership to the field force team.</li><li>Analyze the sales performance of relevant brands in the territory and identify key levers for action.&nbsp;</li><li>Keep management team informed of any market changes or competitor activity relevant to strategy implementation and development.&nbsp;</li><li>Manage approved budget to ensure appropriate allocation of resources to meet the plan.</li><li>Develop local medical partnerships:</li><li>Identify local KOLs and monitor professional relations with them.</li><li>Participate in local congresses and symposiums.&nbsp;</li><li>Build a high performing team by recruiting candidates and effectively on-boarding new hires.</li><li>Coach and motivate team members to achieve territory goals and optimize individual and team engagement.&nbsp;</li><li>Conduct performance reviews and capability assessment for the field force team.</li><li>Conduct district sales meetings to guide team.</li><li>Support team members on external key customer visits on regular basis.</li><li>Identify and implement best practices &amp; encourage innovation.&nbsp;</li></ul> Requirements: <ul><li>Pharmacists Degree</li><li>Minimum of 5 years experience in medical sales role within KSA.</li><li>Minimum of 2 years of managerial experience.&nbsp;</li><li>Dermatology experience is preferred.</li><li>Proven track record of inspiring and leading teams to meet expectations and goals.</li></ul>

Responsibilities: <ul><li>Formulates and leads guided, multifaceted analytic studies against large volumes of data.</li><li>Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.</li><li>Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.</li><li>Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.</li><li>Leads all data experiments tasked by the Data Science Team.</li><li>Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.</li><li>Develops methodology and processes for prioritization and scheduling of projects.</li><li>Analyzes problems and determines root causes.</li><li>Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.</li><li>Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.</li></ul> Requirements: <ul><li>Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields</li><li>5-7 years of professional experience</li><li>Proficient with one or more programming languages (Java, C++, Python, R, etc.)</li><li>Demonstrated experience applying data science methods to real-world data problems</li><li>Experience utilizing visualization tools to take advantage of the growing volume of available information</li></ul> Data Scientist Qualifications / Skills: <ul><li>Advanced analytical knowledge of data</li><li>Conducting big data analysis</li><li>Data conditioning</li><li>Programming advanced computing</li><li>Developing algorithms</li><li>Developing software and data models</li><li>Executing predictive analytics</li></ul>

Responsibilities: <ul><li>As a Data Analyst working on the Regional Supply Chain team, you will use your expertise in Machine Learning to solve problems with high business impact and deploy models at scale using cutting-edge technologies to grow our business on e-com and off-line.</li><li>Definition of the feasibility and implementation of use cases</li><li>Understanding business needs and translate them to technical terms</li><li>Developing, adapting, and executing reports for different markets/deployment as needed</li><li>Modelization, packaging and making assets available for key users</li><li>Owning and managing the solutions, app, workspace, and reports repository</li></ul> Requirements: <ul><li>Data manipulation and analysis skills: Data wrangling, crunching, preparation, visualization</li><li>Exploratory data analysis</li><li>Experience in data visualization, knowledge or interest in Power BI</li><li>Proficiency in web frameworks knowledge appreciated</li><li>Python, R, Microsoft SQL Server, GCP knowledge are a MUST</li><li>Familiar with MLOps tools: MLFlow, DVC, or similar frameworks.</li><li>SAP ECC and Supply Chains domains knowledge appreciated</li></ul>

Responsibilities: <ul><li>Work closely with scientists, engineers, and business development professionals to develop comprehensive program plans. This involves breaking down long-term goals into actionable steps, identifying resources, and setting realistic timelines and budgets</li><li>Anticipate potential challenges and proactively identify and mitigate risks. This could involve securing critical equipment, managing supply chain issues, or navigating regulatory roadblocks</li><li>Foster strong relationships with external partners, from research institutions and ingredient suppliers to equipment vendors and regulatory agencies.</li><li>This collaboration is crucial for accessing expertise, and resources, and navigating the complex regulatory landscape</li><li>Closely monitor progress, analyze data, and adapt strategies as needed. This might involve adjusting resource allocation, revising timelines, or implementing new technologies based on emerging data and insights</li><li>Monitor and track program progress, providing regular updates to stakeholders and adapting strategies as needed.</li><li>Lead program reviews and post-mortems to identify areas for improvement and share best practices within the companys education</li></ul> Requirements: <ul><li>Masters degree in Food Science, Biotechnology, Engineering, or a related field preferred, or Bachelors degree with significant experience in a relevant field.</li><li>Minimum of 5 years of experience in program management, ideally within the biotech, biopharmaceutical, or cultivated meat industry.</li><li>Proven track record of successfully managing complex programs and delivering results on time and within budget in a fast-paced environment</li><li>Strong communication skills with proven capability with multiple internal and external stakeholders</li><li>Strong understanding of project management methodologies (e.g., Agile) and their application within the context of technical development projects</li><li>Able to rapidly learn and get up to speed on new technologies</li><li>Strategic vision – the ability to “zoom in and out” to understand how technical programs fit into broader company strategy to ensure alignment between program goals, timelines and priorities</li></ul>

Responsibilities: <ul><li>Design, develop, and implement AI-powered solutions to automate manual tasks, optimize processes, and enhance data-driven decision-making in Financial Accounting, Treasury, Performance management and Investor Relations.</li><li>Work closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions.</li><li>Assess requirements related to Finance AI uses cases; Perform option evaluation; Provide support for implementation.</li><li>Develop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis.</li><li>Clean, transform, and analyze large datasets from various sources to ensure data quality and prepare it for modeling.</li><li>Stay up to date on the latest advancements in AI and machine learning, identify potential applications for the finance function, and propose relevant pilot projects.</li><li>Communicate technical concepts and findings effectively to both technical and non-technical audiences.</li><li>Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.</li><li>Organize and facilitate workshops with different users and consultants to document processes and drive transformation.</li><li>Lead the delivery and execution of key digital initiatives.</li><li>Participate in solutions development through projects and programs, collaborating with business and technology groups.</li><li>Maintain, support and optimize digital solutions.</li></ul> Requirements: <ul><li>As the successful candidate you will hold a bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics or IT from a recognized and approved program.</li><li>Possession of an advanced business degree (e.g. MBA) and/or relevant professional certification (e.g. CMA, CFA, CPA) is preferred but not required.&nbsp;</li><li>You will have six to eight years’ experience in Data Science, Artificial Intelligence and other related advanced analytics implementation of financial systems.</li><li>Expertise in Python programming languages and libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch is required. </li><li>UI programming, such as with React, is required. Skills to leverage Google Cloud or Azure Cloud for advanced analytics is desirable.</li><li>You will be able to demonstrate a thorough understanding of the various aspects of implementing AI systems in Finance including articulation and measurement of benefits, evaluation of technical and execution options, critical success factors, and project risks.</li><li>You must have project experience implementing AI solutions and will be able to analyze the business requirements, evaluate and recommend technical options and support the execution process for implementing such solutions.</li><li>Ability to get involved in hands on technical solution management is preferred.&nbsp;</li></ul>

Responsibilities: <ul><li>Design, develop, and implement AI-powered solutions to automate manual tasks, optimize processes, and enhance data-driven decision-making in Financial Accounting, Treasury, Performance management and Investor Relations.</li><li>Work closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions.&nbsp;</li><li>Assess requirements related to Finance AI uses cases; Perform option evaluation; Provide support for implementation</li><li>Develop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis.</li><li>Clean, transform, and analyze large datasets from various sources to ensure data quality and prepare it for modeling.</li><li>Stay up-to-date on the latest advancements in AI and machine learning, identify potential applications for the finance function, and propose relevant pilot projects.</li><li>Communicate technical concepts and findings effectively to both technical and non-technical audiences.</li><li>Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.</li><li>Organize and facilitate workshops with different users and consultants to document processes and drive transformation</li><li>Lead the delivery and execution of key digital initiatives. Participate in solutions development through projects and programs, collaborating with business and technology groups. Maintain, support and optimize digital solutions</li></ul> Requirements: <ul><li>As the successful candidate you will hold a Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics or IT from a recognized and approved program. Possession of an advanced business degree (e.g. MBA) and/or relevant professional certification (e.g. CMA, CFA, CPA) is preferred but not required.&nbsp;</li><li>You will have six to eight years’ experience in Data Science, Artificial Intelligence and other related advanced analytics implementation of financial systems. Expertise in Python programming languages and libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch is required. UI programming, such as with React, is required. Skills to leverage Google Cloud or Azure Cloud for advanced analytics is desirable.</li><li>You will be able to demonstrate a thorough understanding of the various aspects of implementing AI systems in Finance including articulation and measurement of benefits, evaluation of technical and execution options, critical success factors, and project risks.</li><li>You must have project experience implementing AI solutions and will be able to analyze the business requirements, evaluate and recommend technical options and support the execution process for implementing such solutions. Ability to get involved in hands on technical solution management is preferred.</li></ul>

Responsibilities: <ul><li>New Account acquisition &amp; new opportunity closure through partners.</li><li>Driving new revenue growth through partners.</li><li>Generating Steady stream of new pipeline thru partners &amp; pipeline mgmt.</li><li>Mapping &amp; stakeholder relationship building across function lines in partner organization.&nbsp;</li><li>Joint GTM designs with partner</li><li>Joint events &amp; mktg. activities with the partners.</li><li>Building brand awareness within the partner organization.</li><li>Facilitating, Anchoring, navigating, orchestrating, maneuvering &amp; closing partner originated deals.</li><li>Carrying number target.</li><li>Relationship Management.</li><li>Collaborate with cross functional teams as well as partners as per the account/opportunity demand.</li><li>Operate in close coordination with IL Regional/Global Partnership anchors.</li></ul> Requirements:&nbsp; <ul><li>Bachelor’s degree in Sales and Marketing, or a related field; master’s degree will be added advantage.</li><li>At least 10-15 years’ relevant experience with partner/channel sales.</li><li>Knowledge of Partnership Lifecycle Management, primarily account management, upselling and latter new businesses.</li><li>Self-initiative, well-organized, strong sense of responsibility, strong analytical and strategic mindset, problem solving skills.</li><li>Excellent communication and business partnership skills</li><li class="ql-align-justify">Good command in oral and written English.</li></ul>

Responsibilities: <ul><li>Design, develop, and implement AI-powered solutions to automate manual tasks, optimize processes, and enhance data-driven decision-making in Financial Accounting, Treasury, Performance management and Investor Relations.</li><li>Work closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions. Assess requirements related to Finance AI uses cases; Perform option evaluation; Provide support for implementation.</li><li>Develop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis.</li><li>Clean, transform, and analyze large datasets from various sources to ensure data quality and prepare it for modeling.</li><li>Stay up-to-date on the latest advancements in AI and machine learning, identify potential applications for the finance function, and propose relevant pilot projects.</li><li>Communicate technical concepts and findings effectively to both technical and non-technical audiences.</li><li>Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.</li><li>Organize and facilitate workshops with different users and consultants to document processes and drive transformation.</li><li>Lead the delivery and execution of key digital initiatives.</li><li>Participate in solutions development through projects and programs, collaborating with business and technology groups.</li><li>Maintain, support and optimize digital solutions.</li></ul> Requirements: <ul><li>As the successful candidate you will hold a Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics or IT from a recognized and approved program. Possession of an advanced business degree (e.g. MBA) and/or relevant professional certification (e.g. CMA, CFA, CPA) is preferred but not required.&nbsp;</li><li>You will have six to eight years’ experience in Data Science, Artificial Intelligence and other related advanced analytics implementation of financial systems.</li><li>Expertise in Python programming languages and libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch is required. UI programming, such as with React, is required</li><li>Skills to leverage Google Cloud or Azure Cloud for advanced analytics is desirable.</li><li>You will be able to demonstrate a thorough understanding of the various aspects of implementing AI systems in Finance including articulation and measurement of benefits, evaluation of technical and execution options, critical success factors, and project risks.</li><li>You must have project experience implementing AI solutions and will be able to analyze the business requirements, evaluate and recommend technical options and support the execution process for implementing such solutions.</li><li>Ability to get involved in hands on technical solution management is preferred.&nbsp;</li></ul>

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386 data science Jobs found

Data Science Manager

ASC - Data Scientist

Regional Medical Visit Manager - Riyadh/Eastern Region

ASC - Downstream Data Scientist

Data Analyst (1 year contract)

Technical Program Manager

Business System Analyst I - Central Finance

ASC - AI

Partner Sales Director

ASC - Business Sys Analyst I (AI)

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386 data science Jobs found

Data Science Manager

ASC - Data Scientist

Regional Medical Visit Manager - Riyadh/Eastern Region

ASC - Downstream Data Scientist

Data Analyst (1 year contract)

Technical Program Manager

Business System Analyst I - Central Finance

ASC - AI

Partner Sales Director

ASC - Business Sys Analyst I (AI)

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.