Junior Associate, Data Science...

sapientnitro SapientNitro

Welcome to SapientNitro.

We're an agency changing the game — redefining the way that brands engage
consumers by creating compelling stories and experiences that attract and
resonate across an ever-evolving landscape. Our work pushes past boundaries and
channels. It wins awards. But most importantly, it makes an impact for our
clients and their customers. And makes us excited to step through the door each
morning. We help one another climb, we don’t climb over one another. Integrity
and a team-driven environment connect entrepreneurial minds. Getting goose
bumps? Good. If you’re ready to be an Idea Engineer with the brightest minds in
the industry and do things that haven't yet been imagined, let’s see where you
can put your talents to work.

Job Title:

Associate, Data Scientist, Advanced Analytics

Job Summary:

is looking for a Jr Associate – Data
Scientist to join its Data Science practice. The role is to be part of
the team in driving the next generation innovation in applied machine learning
and statistical analysis and advancing the group’s capabilities into the future

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

role is critical in helping advance the application of machine learning as a
core building block to core market offerings in eCommerce, 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.

areas of focus for this group includes applications in customer segmentations, text
analytics, media and advertising optimization solutions, developing recommender
systems, fraud analytics, personalization systems and forecasting.

Reponsibilities (in addition to what’s listed above)

  • Develop
    technical thought leadership in the field of data science and machine
    learning 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

Basic 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 (machine learning libraries) in Python
    (scikit-learn), R
  • Expertise in one
    or more programming languages Python, R, Scala
  • Experience
    working with clickstream data from web, mobile or apps
  • Experience with
    text mining in information retrieval, topic mining, clustering and other
  • 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
  • Passionate about
    turning data into actionable insights
  • Proven ability
    to perform in-depth analysis, compile and interpret results

Preferred Guidelines:

  • Experience with
    large datasets and distributed computing (Hadoop, Spark) a plus
  • Experience
    accessing data, map-reduce programming style and training models in
    Hadoop, Spark

About SapientNitro

SapientNitro®, part of
Publicis.Sapient, is a new breed of agency redefining storytelling for an
always-on world. We’re changing the way our clients engage today’s connected
consumers by uniquely creating integrated, immersive stories across brand communications,
digital engagement, and omni-channel commerce. We call it Storyscaping, where
art and imagination meet the power and scale of systems thinking.
SapientNitro’s unique combination of creative, brand and technology expertise
results in one global team collaborating across disciplines, perspectives and
continents to create game-changing success for our Global 1000 clients, such as
Chrysler, Citi, The Coca-Cola Company, Lufthansa, Target, and Vodafone, in 31
cities across The Americas, Europe and Asia-Pacific. For more information,

Sapient is a registered
service mark of Sapient Corporation.

*Reasonable accommodations may be made to enable individuals with
disabilities to perform the essential functions of this role, which include
hearing, speaking, typing, and occasionally moving and/or lifting up to 15

Sapient US is an Equal Opportunity / Affirmative Action employer. All
qualified applicants to Sapient US will receive consideration for employment
without regard to race, color, religion, sex, national origin, disability, or
protected veteran status.

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