About US:-
We turn customer challenges into growth opportunities.
Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.
Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners. Be a part of an Awesome Tribe
Data Scientist applies strong expertise in machine learning, data mining, and information retrieval to design, prototype, and build AI engine and services. The data scientist collaborates with business partners to define the technical problem statement and hypothesis to test; develops efficient and accurate analytical models that mimic business decisions and incorporates them into analytical data products or tools with the support of a cross-functional team.
· Identify opportunities for leveraging data to drive business solutions in Digital Marketing and Product Management.
· Mine, transform and analyze data from different sources (CRM, Digital Analytics UI, external sources data).
· Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance.
· Design, create, test and implement data models that drive analytical solutions throughout the organization.
· Apply A/B testing framework to test models' quality and integrate data insights into business processes.
· Coordinate with different functional teams to implement models, design processes and tools to monitor and analyze model performance and data accuracy.
· MS/PhD (Computer Science or Electronics), or MS in Computer Applications, Economics, Statistics, Mathematics or related technical discipline.
· 2–4 years' experience in a statistical and/or data science/data analyst role.
· Experience in machine learning, statistics and data mining for clustering, classification and regression problems.
· Experience merging and transforming internal and external datasets to create new features.
· Experience with Python/R; Tableau or Power BI is a plus.
· Strong analytical and problem-solving skills.
· Openness to working in Agile environments with multiple stakeholders.
· Strong communication and collaboration skills.
· Professional attitude and service orientation; team player.
· Quick learner who translates business needs into analytics solutions.
· Strong numerical aptitude and healthy skepticism around data quality.
· Good verbal and written communication skills.
· Strong organizational skills with attention to detail and accuracy.
· Ability to coach, mentor and collaborate with business partners and team members.
· Ability to thrive in a fast-paced environment.
· Open-minded to new approaches of learning.
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