Hello, we are Odd Industries. 👋

A highly-experienced, highly-odd group of odd people in the digital data domain.

We help our customers obtain, decipher and distribute valuable information to improve their world.

We hail from different backgrounds and journeys, but our small team totals more than 100 years of combined experience working with digital data, machine vision and artificial intelligence.

We consider ourselves experts in our fields, but arrogance has no space in our team.

The only absolute truth we believe in, is that we need each other to achieve our dreams (some of which are out of this world). We love to learn and teach each other new things.

And above all, we love data and hope you do too.

We are looking for an Odd Data Engineer.

For us that is a Data Scientist who will support our industrial clients' operations, sales, leadership and product teams with insights gained from analyzing company data.

The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.

They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.

They must have a proven ability to drive business results with their data-based insights.

They must be comfortable working with a wide range of stakeholders and functional teams.

The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

The perfect candidate is comfortable working with unstructured data.

Responsibilities

• Work with 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.
• 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.

Qualifications

• Strong problem solving skills with an emphasis on product development.
• Experience using statistical computer languages (R, 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.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Comfortable with written and spoken English. 🤓🖖🏼

We’re looking for someone with 2-3+ years of experience manipulating data sets and building statistical models, and is familiar with the following software/tools:

• Coding knowledge and experience with several languages: JavaScript, Java, C, C++, etc.
• 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, SQL, etc.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Experience with the GCP stack: Composer, Dataflow, BigQuery, Dataprep, Datalab, etc.
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
• Experience visualizing/presenting data for stakeholders using: D3, Data Studio, Periscope, Power BI, Tableau, etc.

• Family and health are more important than the job.
• A competitive salary with a clear growth path.
• Your ideal tools to work with.
• Work with a positive and passionate team that loves to learn.
• Work on top secret out-of-this-world projects that will hopefully improve our world.
• Work on what you love — 'The secret of success is making your vocation your vacation.'
• Pizza. 🍕

Foreigners

We sponsor your application for a Chilean Work Visa, you do not need to have an active work Visa to apply for this job, we help you obtain it through the Visa Tech Chile program!