Associate Data Scientist

Technology Bogota, Colombia


Description

Associate Data Scientist

Bogota, Colombia

 

*ONLY CVs SUBMITTED IN ENGLISH WILL BE CONSIDERED*

 

 

The Opportunity: 

We’re looking for an Associate Data Scientist to help us push the boundaries of what education can offer through the power of technology. Education is our passion, and our team members bring that to work each day as they aim to advance learning in every region of the world. Blackboard is the world's leading education technology company, providing dynamic products and services to the global education community. We’re focused on driving innovation in EdTech and working with our clients to create a smarter learning environment.    

 

 

At Blackboard, we believe in the power of a truly diverse and inclusive workforce. As we expand globally, we are committed to making diversity, inclusion, and belonging a foundational part of not only our hiring practices, but who we are as a company.

 

 

For more information about Blackboard Inc. and our career opportunities, please visit www.blackboard.com.  

 

 

As an Associate Data Scientist, you will work with company executives to develop strategies, with Product Managers and Designers to create better products, with Marketing to launch better-converting campaigns, and with clients and server Software Developers to create data pipelines and improve workflow. You will work across the organization as well as closely with customers. You will collaborate with team members to develop use cases and to understand the business goals and data that will be required to solve problems. You’ll use the right approach to address use cases, know the data that is needed to solve the problem, and understand how to translate and present the result so that it can be easily understood by everyone involved.  

 

 

Specific responsibilities will include: 

  • Regularly updating your knowledge by reading contents online and reading relevant books on trends in data science 
  • Understanding the education domain and knowing what business problems we are trying to solve 
  • Enabling the business to make decisions by arming them with quantified insights in addition to understanding the needs of their non-technical colleagues to wrangle the data appropriately; knowing how to create a storyline around the data to make it easy for anyone to understand 
  • Providing analytics-based insights to help the marketing team optimize marketing spends 
  • Implementing customer projects and internal product roadmap projects on Data Science 
  • Identifying the data analytics problems that offer the greatest opportunities to the organization 
  • Collecting large sets of structured and unstructured data from disparate sources 
  • Cleaning and validating the data to ensure accuracy, completeness, and uniformity 
  • Devising and applying models and algorithms to mine the stores of big data 
  • Analyzing the data to identify patterns and trends 
  • Interpreting the data to discover solutions and opportunities 
  • Communicating findings to stakeholders using visualization and other means 
  • Developing processes and tools to monitor and analyze model performance and data accuracy 

 

 

The Candidate: 

Required skills/qualifications: 

  • Bachelor’s degree in Software Engineering or related field or equivalent professional experience
  • Basic knowledge of machine learning techniques (I.e. linear models, kernels, ensembles, regularization, dimensionality reduction, data mining, and clustering) 
  • Hands-on experience in Big Data querying 
  • Programming skills using SQL and Python 
  • Basic knowledge of RDBMS concepts
  • Some experience working on Prediction/Prescriptive analytics/Forecasting algorithm 
  • Ability to deliver products in a timely manner with high quality 
  • Familiarity with multiple software development practices and tools and the proven ability to adapt, champion, and institute good practices and tools 
  • Ability to visualize data with the aid of data visualization tools such as ggplot, d3.js, Matplottlib, and Tableau 
  • Self-motivated and self-directed abilities to prioritize and execute tasks in a high-pressure environment with time critical deadlines 
  • Fluency in written and spoken English at CEF B2 level or above

 

 

Preferred skills/qualifications: 

  • Extensive knowledge of statistics 
  • Experience designing and solving Data Science related to real-world problems related to the education sector
  • Experience with Snowflake
  • Experience with Spark/PySpark or similar big data framework
  • Advanced machine learning skills

 

 

To ensure the safety and wellbeing of our employees during the COVID-19 pandemic, Blackboard positions are currently remote (where possible).

 

 

The Office:

Blackboard has an office located in Bogota, Colombia as a hub for the LAC market.

  • Located in Capital Towers center in the financial district
  • Excellent and secure area to eat lunch, have a walk, or dine after office hours
  • Benefits in prepaid medicine, dental plan, and wellness allowance
  • Easy access to public transportation close to two important avenues, Carrera 7 and Calle 100
  • Free parking for employees and paid parking for visitors
  • Multiple private spaces for virtual and face-to-face meetings
  • Regular events like bring your dog to work day and ping-pong, foosball, and Mario Kart tournaments
  • Sodexo card provided for employees
  • Daily budget to spend on beverage vending machines
  • Learn more about the Bogota office culture by checking out our Facebook page

 

 

This job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities at any time.   

 

 

Blackboard is an equal employment opportunity/affirmative action employer and considers qualified applicants for employment without regard to race, gender, age, color, religion, national origin, marital status, disability, sexual orientation, gender identity/expression, protected military/veteran status, or any other legally protected factor.  



Req ID: BB-3784