Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for
clients
.
Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and
expertise
in data, technology, and AI.
I
nviting applications for the role of
AM, Data Scientist
Today, the world is
operating
in a more dynamic market, with more capable competitors than ever before. To meet our ambitions for democratizing access to the digital economy and financial services, we need to play our
very best
game.
That's
why transforming the business to be more customer-centric and global in mindset to solve customer problems. Alongside Sales and Product functions, the Marketing function will be central to this transformation.
With
an ambition to create and embed a bold new operating model that will position us to compete and win in the market. It will empower marketers on the frontline and our Marketing function more broadly with the knowledge, skills, platforms, and capabilities to do exceptional work.
Responsibilities
Participate and collaborate with Sales and Marketing teams in the organization to understand the business requirements and to deliver scalable solutions
Analyze user behavior, conversion data, customer journeys to generate hypotheses and build optimization plans and provide insights for feature improvements
Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies
Continuously think about how to improve the analytics infrastructure for the team and automate processes
Perform deep-dive analyses on key business trends from different perspectives and package the insights into easily consumable presentations and documents
Provide thought leadership within the marketing analytics community
Qualification we
seek
in you!
Minimum Qualifications
/skills
Education in Statistics, Mathematics, Computer Science, or
another quantitative field
.
Relevant working experience
Knowledge of a variety of machine learning and Statistical techniques (Regression, Statistical Tests, Properties of distributions, Clustering, CART, SVM, etc.) and their real-world advantages/drawbacks.
Experience using computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.
Experience in creating AI/ML models for Marketing use cases
Experience in using industry-standard AI/ML
libraries
i.e.
Sklearn
,
Keras
,
Tensorflow
,
AutoML
, etc.
Experience in working on Marketing Analytics
Excellent communication & presentation skills
Good exposure in the Marketing analytics domain for a Fintech-based client and should be able to break the problem into small chunks
Ability to create models using Classification and Regression techniques and perform Hypothesis Testing and Feature selection
Ability to use creativity to spot trends and tease out patterns in large datasets
Good analytical and problem-solving skills, and ability to set goals and meet deadlines in a fast-paced working environment
Preferred Qualification
s/skills
Knowledge of Hadoop/Hive is good to have
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws.
Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Get to know us at
www.genpact.com
and
on
X
, Facebook, LinkedIn, and YouTube.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants
are not required to
pay to
participate
in our hiring process in any other way. Examples of such