DATA SCIENTIST
Kebayoran Baru, Jakarta, Indonesia (Remote possible)
Job benefits
Flexible work hours
Productivity curve is not something steady and consistent as it depends on each person's unique traits and preferences. At PT BIOGENOMIK ARTIFISIAL INTELIGEN, as long as your team is in sync and your goal is hit, you can flexibly decide when you want to work.
Remote work options
Thanks to technology, we no longer have to be physically present at the office to be productive. Joining with PT BIOGENOMIK ARTIFISIAL INTELIGEN allows you to work anywhere without place-constraint.
Free food & beverages
Avoid wasting time and energy to buy food at the restaurant or hawker center by yourself. We'll provide the best food for you and your team. Make better use of your valuable time to rest, bond, and do other things that matter to you.
Healthcare And Wellness
Healthcare and wellness are key factors to productivity at work. To make sure that you are doing well, we have prepared various healthcare and wellness programs that can help you take care of yourself.
Must have skills
Job description for DATA SCIENTIST at PT BIOGENOMIK ARTIFISIAL INTELIGEN
We are looking for a Data Scientist who will support our scientist, doctors, product, sales, leadership and marketing teams with insights gained from analyzing company and/or biochemistry/bomolecular 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 for Data Scientist
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions or Work with doctors, science team to build a pipeline our software
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies or mine and analyze data for pipeline in our genomic interpretation software
- 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 for Data Scientist - FRESHGRADUATE IS WELLCOME
- 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.
- 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 even from 1-5 years of experience manipulating data sets and building statistical models, familiar with the following software/tools:Coding knowledge and experience with several languages: C, C++, Java, lynux, JavaScript, 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, SLQ, etc. Experience using web services: 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.
About the company
VAST AND CUTTING EDGE TECHNOLOGY COMPANY, WITH FUN AND CHALLENGING WORKING ENVIRONMENT- PRODUCTIVITY AND RESULT ORIENTED THAT CHANGE THE HUMAN LIFE THROUGH GENETIC CODING AND ARTIFICIAL INTELLIGENCE
Office address
OFFICE 8
