Data Scientist
Bengaluru, Karnataka, India
Nabler is a pure-play digital analytics company with offices in North Carolina, US and Bangalore. We enable
marketers take advanced data-driven decisions and boost the effectiveness and success across digital ecosystem.
We have a team composed of passionate professionals who come from diverse backgrounds offering solutions
across business and are grouped under core services mentioned in the website www.nabler.com
Responsibilities for Data Scientist
Work with stakeholders to build solution for leveraging data to drive business solutions.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets. This would include but not limited to, using
predictive modelling to increase and optimize customer experiences, revenue generation, and ad targeting.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyse model performance and data accuracy.
Requirements
Qualifications for Data Scientist
Technical:
o Experience using statistical computer languages (R, Python, Scala, Pyspark) to design and deploy machine
learning algorithms.
o Experience in visualizing output through tools like R-Shiny, Power BI, Tableau
o Experience in atleast one of the clouds AWS, GCP or Azure, or working in Hadoop
o Atleast 2 - 4 years of Experience of advanced statistical techniques and concepts, any of these - regression,
classification, time series forecasting, segmentation, etc, as well as Knowledge of deploying these as
applications
Area of expertise
o Preferable: Experience in Web Analytics, Web data, Media Performance data, and creating data architectures.
o Preferable if experienced in any of these Attribution, Customer Segmentation, Market mix modelling, Content
Optimization.
Soft skills
o Excellent written and verbal communication skills for coordinating across teams, and ability to present the
findings
o A drive to learn and master new technologies and techniques.
Education:
o Bachelor’s in quantitative degree like Maths, Sciences, Stats, Ecinomics, BE/BTech, BCA or equivalent
o Preferable: Post graduation in quantitative area like PhD, MBA, Masters in Sciences, Masters in
Economics/Stats, M Tech, MCA or equivalent
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Classification Economics GCP Hadoop Machine Learning PhD Power BI PySpark Python R Scala Statistics Tableau
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