315 day(s) ago

Data Scientist vacancy at Cila Labs

Negotiable salary


Remote worker location: India
English: Intermediate, Advanced, Upper Intermediate, Native Speaker
Experience: 3+ years
Employment: Full-time

Cila Labs

At CILA Labs, we Create, Innovate, Launch And Accelerate Technology Ideas For Non-Techy Entrepreneurs. Not only are we a technology incubator, we BUILD ideas by assembling the RIGHT team for each product with extremely talented engineers, architects, marketers, project managers, and business scalers. But it's even more than just building disruptive technology…

We take a meaningful equity position in each company we support, we become the Co-Founder of each entity, and we are responsible for creating, innovating, launching, and accelerating the entire company forward.

We value people more than anything else. It's the single reason why CILA Labs has become such an impactful force very quickly. We hire committed, driven, entrepreneurial people who LOVE a fast-paced and autonomous environment where they can grow personally and professionally each day. CILA Labs is the perfect place for the right person and we invite you to apply so that we can consider welcoming you to our CILA Family!

General overview of the role

We are looking for a Data Scientist who will support our product, sales, leadership and marketing 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.

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.

Requirements

Strong problem-solving skills with an emphasis on product development.
Experience using statistical computer languages (R, Python 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.
We're looking for someone with 2+ years of experience manipulating data sets and building statistical models and is familiar with the following software/tools:
Experience with programming language like Python/R 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, etc.
Experience using IaaS like AWS, Google Cloud, Azure 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, MySQL, etc.
Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Perks & Benefits

CILA Labs is an exciting place to work, as we are constantly working on innovative product ideas using cutting edge technologies.
We have a nurturing environment that breeds creativity and innovation.
Our Mentorship Program will help you grow professionally.
Automated toolchain to help you get code from your laptop to production in minutes.
Excellent career growth plan.
A trajectory where you could become a CTO of a disruptive tech company
Work from anywhere
Limitless earning and impact potential
Single greatest tech opportunity for the right person

Other information

Before you apply, please check if any restrictions apply in terms of time zone or country.
This job has a geo-restriction in place: India.