Data Scientist

**Data Scientist - Job Description**

**About Us**

**SlideX** is a startup tech company dedicated in making cities around the world smarter through AI & 5G technology. We want to provide cities and communities a smart connected services platform where more effective data-driven decision-making enhances citizen and government engagement, creates safer communities, reduces environment footprint, improves transportation, increases digital equity, brings new economic development opportunities, creates efficient public utilities, improves infrastructure, and increases the workforce engagement. Currently, SlideX is working in partnership with Microsoft AI Team to setup an efficient test configuration including AI models and computer edge devices to be used to making cities smarter.

**Job Summary**

**Role and Responsibilities**
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Working with project managers to establish objectives for AI systems
- Creating AI algorithm prototypes based on project specifications
- Running tests to assess AI performance
- Implementing changes to algorithms to improve AI performance
- Document all steps in the development process
- Remain up to date on the latest innovations in machine learning
- Mine and analyze data from company databases to drive optimization and improvement of product development.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Develop company A/B testing framework and test model quality.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Strong problem-solving skills with an emphasis on product development.
- Experience using statistical computer languages (R, Python, SLQ, 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.
- Excellent written and verbal communication skills for coordinating across teams.
- A drive to learn and master new technologies and techniques.

**Preferred Qualification/Skills**
- We’re looking for someone with 5+ years of experience manipulating data sets and building statistical models, has a Bachelor, Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field.
- 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: R, Python, SLQ, etc.
- Experience using web services: Azure, or AWS, Redshift, S3, Spark, DigitalOcean, 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, Hive, Spark, Gurobi, MySQL, etc.
- Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

**Duration**:
This is a 3 to 6 months contract, with possibility of hiring full time.

**Job Type**: Contract
Contract length: 6 months

Pay: $5,921,343 - $9,118,271 per month

Ability to commute/relocate:

- Bogotá, Cundinamarca: Reliably commute or planning to relocate before starting work (preferred)