Thefuture is infinitely wide and begging to be reimagined and SapientRazorfish is looking for people who have the courage to make their dent in what has always been.
If you have an optimism that says there is no limit to what we can achieve in a time inviting those with vision to shake things up, then we should talk.
Our work is fueled by connected thinking, challenging boundaries, and the power of digital redefining a connected world.
Our people thrive because of the belief that it's both our privilege and responsibility to usher our clients and the world into what is next.
We're seeking those who question the status quo and want to reimagine the way the world works while realizing a smarter way for business to help -
all in service of improving the daily lives of people, the world, and your career. Next reimagined.
Job Title :
Senior Associate - Data Science
Job Summary :
Sapient is looking for a Senior Associate - Data Science to join its Data Science practice. The role is to not only be a trusted advisor to our clients for driving the next generation innovation in applied machine learning and statistical analysis but also a change agent in advancing the group's capabilities into the future.
As part of the team, you will be responsible for creating data driven solutions that at the core are driven by relevant learning algorithms.
In this role you will educate internal and external teams on conceptual models for problem solving in the machine learning realm and help translate goals and objectives into data driven solutions.
You will enjoy working with some of the most diverse data sets in the world, cutting edge technology, and the ability to see your insights turned into real business results on a regular basis.
The role is critical in helping advance the application of machine learning as a core building block to core market offerings in e-
commerce, advertising, adtech and business transformation. In addition, you will be responsible for providing analysis that informs and improves the effectiveness of the planning, execution and optimization of marketing tactics.
You will tie optimization metrics to the strategic intent of campaigns and the underlying business objectives.
As an evangelist for data science, you will partner with leaders in various divisions, industries and geographies, in order to ensure that increasingly more solutions we bring to the market are data driven and are supported by a strong data sciences group.
Core areas of focus for this group includes applications in customer segmentations, media and advertising optimization solutions, developing recommender systems, fraud analytics, personalization systems and forecasting.
Primary Responsibilities :
Guide and lead the evolution of internal project teams as they transition from traditional solution architectures to one's that are driven by applications in machine learning
Provide technical thought leadership, coaching and mentorship in the field of data science in working with engineering and other cross functional teams
Design controlled experiments to measure changes to new user experience
Segment customers and markets to improve targeting and messaging of product recommendations and offers
Design and implement high performance and robust analytical models in support of project objectives
Research and evaluate open source and vendor solutions in the analytics platforms space to guide solutions
Be responsible for solution and code quality including providing detailed and constructive design and code reviews
Help establish standards in machine learning and statistical analysis to ensure consistency in quality across projects and teams
Help develop next generation solutions in core functional areas related to digital marketing & customer experience solution blocks -
Content and Commerce, AdTech, Customer Relationship Management (CRM), Campaign Management
Experience Guidelines :
BS / MS in Computer Science, Math, Physics, Engineering, Statistics or other quantitative or computational field. Advanced degrees preferred
Demonstrate proficiency with various approaches in regression, classification, and cluster analysis
Must have experience in statistical programming in R, SAS, SPSS, MATLAB or Python
Expertise in one or more programming languages Python, R, Scala
Expertise in SQL programming languages and familiarity with Hive, PIG
Experience working in a Unix / Linux environment for automating processes with shell scripting
Excellent quantitative skills and the ability to tell a story using data
Strong communication and presentation skills
Ability to initiate and drive projects from conception to completion with minimal guidance
Passionate about turning data into actionable insights
Proven ability to perform in-depth analysis, compile and interpret results
Ph.D in Computer Science, Math, Physics, Engineering, Statistics or other quantitative or computational field
Expertise in application of machine learning algorithms on large datasets
Experience with large datasets and distributed computing (Hadoop, Spark) a plus
Experience accessing data, map-reduce programming style and training models in Hadoop, Spark
Full Time Bachelor's / Master's degree
Location : Bangalore
Projects this role will support :
The role is expected to support in the domain of Digital Transformation engagements which requires client applications to provide their consumers with enhanced experience by transforming the digital capabilities.
The clients are not from any specific industry though few have been listed to provide the perspective
Retail : The industry is focusing on improving sales and transitioning towards online market places. They also are looking out to build solutions to understand consumers better, design models and predict consumer likes / dislikes
BFSI : Clients are looking digital transformation by taking almost all services online unless regulatory restrictions come in the way
Travel and Hospitality : There is a lot of disruption happening in the domain as the market if quite competitive and the competition is cut throat.
Topics such as in-venue experience, hyper personalization, mobility are driving lot of innovation
Automobile : The industry is adopting transformation in both consumer and dealer's digital enablement
Healthcare : Exploring fresh ways to build patient data and derive insights. Build platforms to have real time tracking of patient's health by consolidating data from multiple sources and devices and offer personalized medicines and treatments
Telecom : The industry is on cusp of a tipping point moving from pure play voice services to data driven offerings. Telecom players are focusing on modernizing operations, digitizing services, network upgrades and redefining their strategic identity
Technology : Defining the future with digital transformation initiatives. Cloud Computing; IOT; Blockchain & AI are the current focus areas
Manufacturing : Currently in a world of uneasiness. The industry is innovating on adapting technology to run supply chains & operations, monetizing digitization, and leveraging data & analytics
FMCG & CPG : Looking at cost cutting measures across all the operations. Strategizing with a more global outlook and looking at introducing products more aligned with consumer mindset
Entertainment & Media : Industry moving towards a content oriented experience available across multiple distribution channels.
User insights and newer content requires robust data solutions
Logistics & Shipping : Must explore newer technologies (robotics, real time delivery, self-driving vehicles & automated warehouses) and solutions to cater to consumer need and enhanced demands
Insurance : Changing business and operating models. Enterprise Innovation Models redefining ways in why insurers collect information about consumers, discover coverage needs, identify target markets, integrate consumer data and rapidly respond to regulatory changes and compliance
Education : The industry is automation a lot of paper workflows and taking them online along with providing enhanced user experience to attract the prospective customers
Marketing : Increased focus on consumer experience. Build customer centric models and gather behavioral data about consumers to deliver personalized content
Infrastructure & Real Estate : A fundamental shift in the consumer market - focus on environmental, social and financial concerns.
Understanding consumer behavior is key to planning this year. Impact of data and analytics will begin to emerge, helping improve capacity planning and operational cost reduction
Energy & Utilities : Emerging energy services are threatening incumbents. Innovations in current technologies and exploring service based models
Possible career-paths :
Future growth areas in areas of Data Science and Analytics
SapientRazorfish is a new breed of transformation partner designed to help companies reimagine their businesses for the connected world.
With more than 12,000 people and 70 offices around the globe, our capabilities span growth and business model strategy, new product and service innovation, customer experience, enterprise digital transformation, IT modernization, omni-
channel commerce, precision marketing, change management, digital operations, digital innovation, data strategy and advanced analytics.
Sapient is a registered service mark of Sapient Corporation.