• Country: Istanbul, Turkey
• No of vacancies: N/A
  
• Salary: N/A 
• Organization: UNDP
• Gender: Both
• Deadline: 2024-02-02

• Work closely with project stakeholders to identify their needs and preferences.
• Conduct literature review to identify suitable technical solutions and best practices.
• Contribute to the development of Concept Notes, Terms of References and other project documentation.
• Manage and document the complete ML/NLP project implementation process from conception to implementation.
• Apply advanced natural language processing techniques to build, maintain, and improve on analytics, organize large datasets to get actionable insights from them.
• Train and evaluate natural language processing models.
• Conduct research on application of ML/NLP to development challenges and preparing knowledge products.

Provide advisory and technical support to Data Visualization workstream:

• Use Data Visualization tools such as Power BI, Tableau and others to support the development of digital products such as data dashboards and reports.
• Organize and visualize raw data, aggregated data and other types of data.
• Work closely with project stakeholders – to consult on their needs and data available.

Contribute to the Lab’s Developer Community: 

• Support recruitment of online volunteer data scientists.
• Establish and coordinate volunteer teams.
• Oversee the projects sprints’ planning and implementation as a Scrum Master.
• Sound contributions to SDG AI Lab Volunteer Community.
• Organization of trainings for the Community on relevant topics.

Institutional Arrangement

The Data Science Analyst will be working under the guidance of and reporting directly to the UNDP ICPSD Technical Specialist.

Achieve Results: LEVEL 1: Plans and monitors own work, pays attention to details, delivers quality work by deadline

Think Innovatively: LEVEL 1: Open to creative ideas/known risks, is pragmatic problem solver, makes improvements

Learn Continuously: LEVEL 1: Open minded and curious, shares knowledge, learns from mistakes, asks for feedback

Adapt with Agility: LEVEL 1: Adapts to change, constructively handles ambiguity/uncertainty, is flexible

Act with Determination: LEVEL 1: Shows drive and motivation, able to deliver calmly in face of adversity, confident

Engage and Partner: LEVEL 1: Demonstrates compassion/understanding towards others, forms positive relationships

Enable Diversity and Inclusion: LEVEL 1: Appreciate/respect differences, aware of unconscious bias, confront discrimination
Cross-Functional & Technical competencies:

Digital & Innovation | Data collection    

Being skilled in Data Sorting, Data Cleaning, Survey Administration, Presentation and Reporting including collection of Real-Time Data (e.g. mobile data, satellite data, sensor data)

Digital & Innovation  | Data engineering        

Ability in programming languages such as SQL, Python, and R, be adept at finding warehousing solutions, and using ETL (Extract, Transfer, Load) tools, and understanding basic machine learning and algorithms

Digital & Innovation  | Data analysis

Ability to extract, analyse and visualize data (including Real-Time Data) to form meaningful insights and aid effective decision making

Digital & Innovation  | Machine learning      

Skilled in computer algorithms that improve automatically through experience and by the use of data

Digital & Innovation  | Data governance        

Knowledge of data science, skills to develop data management tools, organize and maintain databases and operate data visualization technologies

Digital & Innovation  | Data storytelling and communications        

Skilled in building a narrative around a set of data and its accompanying visualizations to help convey the meaning of that data in a powerful and compelling fashion.

Business Management  |Digital Awareness and Literacy        

Ability and inclination to rapidly adopt new technologies, either through skillfully grasping their usage or through understanding their impact and empowering others to use them as needed

• Up to 1 year (with Master’s degree) or minimum 2 years (with Bachelor´s degree) in research and development in the field of data science, data analysis, data engineering, machine learning or other related areas
• Strong proficiency in programming with Python
• Proven knowledge and expertise in development and implementation of projects in the field of machine learning, specifically with Scikit-learn, Tensorflow or Pytorch
• Excellent verbal and written communication skills in English and Turkish are required

Desired additional skills and competencies:

• Experience in development and implementation of projects in the field of natural language processing, specifically with NLTK, Spacy, Bert, GPT3, RoBERTa
• Comprehensive knowledge of SQL and data modelling
• Familiarity with AWS technologies or Google Cloud is an asset

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