Company Profile:
Thrymr Software is an outsourced product development startup. Our primary development center is
in Hyderabad, India with a team of about 100+ members across various technical roles. Thrymr is
also in Singapore, Hamburg (Germany) and Amsterdam (Netherlands).
Thrymr works with companies to take complete ownership of building their end to end products be
it web or mobile applications or advanced analytics including GIS, machine learning or computer
vision.
http://thrymr.net
Job Location
Hyderabad, Financial District
Job Description:
As a Data Scientist, you will evaluate and improve products. You will collaborate with a
multidisciplinary team of engineers and analysts on a wide range of problems. As a Data Scientist
your responsibility will be (but not limited to) Design, benchmark and tune machine-learning
algorithms,Painlessly and securely manipulate large and complex relational data sets, Assemble
complex machine-learning strategies, Build new predictive apps and services
Responsibilities:
1. Work with large, complex datasets. Solve difficult, non-routine analysis problems, applying
advanced analytical methods as needed. Conduct end-to-end analysis that includes data
gathering and requirements specification, processing, analysis, ongoing deliverables, and
presentations.
2. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop a
comprehensive understanding of Google data structures and metrics, advocating for changes were
needed for both products development and sales activity.
3. Interact cross-functionally with a wide variety of people and teams. Work closely with
engineers to identify opportunities for, design, and assess improvements to various products.
4. Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with
effective presentations of findings at multiple levels of stakeholders through visual displays of
quantitative information.
5. Research and develop analysis, forecasting, and optimization methods to improve the
quality of uuser-facingproducts; example application areas include ads quality, search quality,
end-user behavioral modeling, and live experiments.
6. Apart from the core data science work (subjected to projects and availability), you may also
be required to contribute to regular software development work such as web, backend and mobile
applications development.
Our Expectations
1. You should have at least B.Tech/B.Sc degree or equivalent practical experience (e.g.,
statistics, operations research, bioinformatics, economics, computational biology,
computer science, mathematics, physics, electrical engineering, industrial
engineering).
2. You should have practical experience of working experience with statistical packages
(e.g., R, Python, NumPy ) and databases (e.g., SQL).
3. You should have experience articulating business questions and using mathematical
techniques to arrive at an answer using available data. Experience translating analysis
results into business recommendations.
4. You should have strong analytical and research skills
5. You should have good academics
6. You will have to very proactive and submit your daily/weekly reports very diligently
7. You should be comfortable with working exceptionally hard as we are a startup and this is
a high-performance work environment.
8. This is NOT a 9 to 5 kind of job, you should be able to work long hours.
What you can expect
1. High-performance work culture
2. Short-term travel across the globe at very short notices
3. Accelerated learning (you will learn at least thrice as much compared to other companies
in similar roles) and become a lot more technical
4. Happy go lucky team with zero politics
5. Zero tolerance for unprofessional behavior and substandard performance
6. Performance-based appraisals that can happen anytime with considerable hikes
compared to single-digit annual hikes as the market standard