Data Scientist

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