Cedar Rose Int. Services Ltd is ISO 27001 certified. Find out more details

Known for Accuracy.

Trusted for Reliability.

Respected for Quality.

Cedar Rose is a diverse team of individuals from a multitude of backgrounds. Together we love striving for excellence, winning awards, sharing ideas and keeping at the forefront of our industry by embracing the latest technology. If the bar is high, we set it higher by employing the best of the best, setting standards, investing in our people and growing them to succeed with us.

ABOUT CEDAR ROSE

Available Positions

Location: Cyprus

Do you love data, love challenges and want to work for a young, dynamic company in Cyprus where you will get the chance to develop your skills and work with cutting edge technology? Are you a student in your final year and looking for a placement with an award-winning organisation?

At Cedar Rose we invest in people because we know that it is people that create success every day, through excellence.

SKILLS

  • Analytical and critical thinking.
  • High level of ethics, confidentiality and integrity.
  • Ability to prioritise activities and show initiative.
  • Skills and familiarity with SQL.
  • Data-based decision-maker.
  • Good proficiency in English. (Also knowing Arabic would be a plus).
  • Basic computing skills (mainly excel).
  • Ability to work under pressure.
QUALIFICATIONS - Bachelors Degree or equivalent in one of the following:

  • Mathematics
  • Data Science
  • Statistics
  • 2 years of relevant experience in Data Science
  • Currently studying in the following fields:
    - Mathematics
    - Data Science
    - Statistics

If the above sounds like you, then we would love to hear from you! Please send your CV with a cover letter explaining why you believe you are the best candidate for this role to hr@cedar-rose.com

CONTACT US - Junior Data Scientist

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Available Positions

Location: Remote

SUMMARY OUTLINE OF THE MAIN DUTIES: 

Build a Data Strategy – He/she will liaise with the CDO and CIO to write up a plan for future data projects and priorities and adjust the plan as the database grows and if priorities change in line with the sales pipeline or business direction. 

Source and/or Acquire Data – He/she will identify viable data sources which meet the needs of the business. Oversee and manage cost and implementation of the company’s data acquisition program after taking into consideration 
a) potential revenues and b) cost forecasts. 

Evaluating Information to Determine Compliance with Standards - Keep abreast of data protection laws and regulations and ensure the company’s compliance with applicable laws. Using relevant information and individual judgment he/she will advise CDO whether data transfer protocols or processes comply with current Data Protection Regulations, or Standards.  

Data Management & Governance - He/she will ensure to build a Data Governance Policy which will document the vision for data governance in Cedar Rose and lists the actionable steps to realize that vision, including guidelines to ensure that Cedar Rose data and information assets are managed consistently and used properly in accordance with the relevant laws and regulations. He/she will maintain the company data asset register. This must conform to current ISO27001 guidelines. 

Data Quality & Pipeline - He/she will implement and oversee processes which will be aiming to and relevant to the company’s products and services, reduce data errors, and improve data quality, performance, storage space. He/she will keep accurate records and maintain a data acquisition pipeline document.  

Analytics - He/she will liaise with different departments and clients to determine Analytics initiatives and business development opportunities. 

Team Building – He/she will help recruit and grow the team within different divisions; and lead the data science team, its initiatives and monitor projects. 

KEY DUTIES AND RESPONSIBILITIES 

  • Oversee the collection, storage, management, quality, and protection of data 
  • Implement data privacy policies and comply with data protection regulations 
  • Implement and deliver on the data strategy of the business 
  • Help hiring, leading, motivating, and managing technical teams 
  • Prioritize quality deliverables within budget and deadlines. 
  • Ensure alignment between clients’ objectives and the team's performance. 
  • Own all aspects of master data management, data tools and platforms, and vendor relationships, as well as the direction of colleagues to implement and use these datasets and tools 
  • Oversee the data quality team and keep up to date data asset registers and documentation in collaboration with the software teams. 
  • Identify and implement new methods of increasing efficiency and improving processes by liaising with Heads of Departments for enhancements and automations 
  • Lead ambitious projects in the transformation of the business through the effective collection, processing and activation of advanced data capabilities 
  • Develop in-depth analysis to identify the root cause of a client’s barriers or overall needs and reframe thinking to drive strategy forward 
  • Liaise with in-house and contracted software developers. 
  • Negotiate setting up APIs with public sources and organise acquisition of data on a regular basis. 
  • Oversee data clients’ accounts 
  • Negotiate prices and TATs with report suppliers and ensure that opportunities to receive data by automated processes are optimised. 
  • Responsible for analysing, presenting for recommendations and implementing initiatives to improve accessibility and usability of data 
  • Determine Analytics initiatives and business development opportunities 
Other duties around the company’s data strategy that may be required. 

SKILLS AND QUALIFICATIONS 

  • Demonstrable and practical experience in the Data and Analytics domain including but not limited to: Data Strategy, Business Intelligence and Analytics, Data Management, Data Modelling, Data Quality, Data Governance, Master Data Management and Metadata Management 
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques 
  • Strong knowledge of and experience with databases (SQL, Python etc.), programming (XML, or ETL frameworks) 
  • Knowledge of statistics and experience using statistical packages for analysing datasets is an advantage. 
  • Familiarity with various machine learning techniques such as Linear Regression, Random Forests, Neural Networks etc. to analyse multiple sources of structured, semi-structured and unstructured data is desirable. 
  • Data prep and extracting information from a wide variety of sources including quantitative, qualitative and big data sources 
  • Data platforms 
    • Databricks/Azure Synapse (Data Warehouse/Lakehouse architecture) 
    • SQL Server 
    • Snowflake 
  • Data pipelines/processing 
  • Data Visualization (Power BI/ Matplotlib/ Seaborn) 
  • Cloud platforms (Azure) 
  • BS in Mathematics, Economics, Computer Science, Information Management or Statistics is desirable but not essential. 
  • Excellent senior stakeholder management, including the ability to communicate effectively. 
  • The ability to plan, organise and prioritise tasks and projects and to provide clear advice and direction even when faced with competing demands and short deadlines. 
  • Strong personal communication skills capable of dealing with a wide range of stakeholders, including senior management, and to exercise professional judgement 
  • Proven ability to establish and maintain a high degree of confidentiality, respect, trust, and credibility at all levels 
  • Strong team player, enthusiastic and positive, with the ability to remain calm, controlled, and resilient. 
If this sounds like you, then we would love to hear from you! Please send your CV with a cover letter explaining why you believe you are the best candidate for this role to hr@cedar-rose.com 

CONTACT US - Manager/ Senior Manager - Data & Analytics

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Location: Remote

Reports To

Head of Data Strategy

 

Job Overview

The Data Scientist will support the Company’s products, sales, data and marketing teams with insights and automation using the Company’s data by using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. The position is responsible for the use of data mining/data analysis, building and implementing models, using/creating algorithms and creating/running simulations and machine learning algorithms. They will also temporarily assume the responsibilities of either the Data Quality Controller or Data Scientist when requested by the Head of Data Strategy.

 

Responsibilities and Duties

  • Work with Head of Data Strategy Department and other stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets using Supervised Deep Learning and other Machine Learning techniques.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Increase the volume, quality and diversification of company proprietorial data
  • Render more comprehensive and accurate the company’s proprietorial data.
  • Database Cleaning and Mapping
  • Liaise with Software department and Head of Data Strategy Department in order to facilitate the Data Import process.
  • Assist the Head of Data Strategy Department in automating processes by XML mapping and creating rules and algorithms.
  • Assist the Head of Data Strategy Department in Data sourcing, scoring and warehousing.
  • Manage priorities of assigned tasks to ensure deadlines are respected and met.
  • Suggest and make recommendations to streamline, improve and speed up processes.
  • Report to the Head of Data Strategy Department any issues encountered that can help make the process more efficient or enhance the integrity of the new datasets, or make the addition of information to the company database more efficient.
  • Ensure that all documentation is kept confidential and secure.
  • Attend training and meetings as required.
  • Safeguard the intellectual rights and property of the company.
  • Assist the Head of Data Strategy Department in research and development by identifying, proposing and undertaking new projects studies (new ideas, market study, cost and revenue estimation, etc.)
  • Show initiative in identifying new product lines and product enhancement.
  • Assume temporarily the responsibilities and duties of the Data Quality Controller and the Data Quality Researcher as and when required by the Head of Data Strategy Department.
  • Assist in training and onboarding new members of the Data Strategy Department.
  • Assist in creating training modules and in conducting training of the Data Strategy Department.

 

Data Scientist requirements:

Skills

  • Good proficiency in the English language.
  • Good proficiency in Arabic language.
  • Excellent written and verbal communication skills for coordinating across teams.
  • High computing skills
  • Able to prioritize activities and show initiative.
  • Teambuilding and management
  • Coaching and supervision
  • Training
  • Strong problem-solving skills with an emphasis on product development.

 

Experience

  • Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • A minimum of 2-5 years of experience manipulating data sets and building statistical models, has a degree in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
    • Coding knowledge and experience with several languages
    • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
    • Experience querying databases and using statistical computer languages: Python, SQL, etc.
    • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
    • Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
    • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Spark, MySQL, etc.
    • Experience visualizing/presenting data for stakeholders using: Python, Power BI, Tableau, etc.
  • Preferably have been a graduate in an analytics related field.
  • Experience with Microsoft suite.
  • Experience with Internet research methods and tools.
  • Experience managing and working with remote teams
  • Experience with multilingual and Multicultural teams
  • Preferably have experience at management level.

 

Competencies

  • Support the organisation’s Values and Mission
  • Attention to detail
  • Analytical and Critical thinking
  • High level of ethics, confidentiality and integrity
  • Goal oriented.
  • Able to work with minimal supervision
  • Strong work ethic.
  • Performance management
  • Team building
  • Coaching
  • Leadership
  • Proactive approach

A drive to learn and master new technologies and techniques.

CONTACT US - Data Scientist

Thank You

Your application has been succesfully submitted.

Please see the emails for a confirmation

If you did not receive an email confirmation please check your junk/spam folder or call us directly at

+357 25346630

STRIVE FOR

EXCELLENCE