Nielsen - Lead Data Scientist

4 weeks ago

Bengaluru, Karnataka, India timesjobs Full time
# Lead Data Scientist

## Location:
Bangalore, India

## Technology:
Data Science

## Employment Type:
Full-Time / Hybrid

At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel, and set the journey.

By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed.

We champion you because when you succeed, we do too.

Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve.

We enable your best to power our future.

Audience is everything Nielsen offers the worlds most complete measurement of media-viewing behavior.

Our data scientists leverage the best data assets and modeling methods to build consistent and comparable metrics of the media landscape in multiple countries.

We help the worlds biggest brands make better and faster media and marketing decisions.

### About This Role:


As a Lead Data Scientist, you will be working in a cross-functional and geographically dispersed team of statisticians, data scientists, software developers, and data engineers.

You will be building data-integration solutions supporting Nielsens audience measurement and planning products.

You will be developing predictive models to meet the business needs of internal and external stakeholders in ad and content measurement.

You will implement models in production and develop continued enhancements for a variety of use cases.

### About You:

  • You are knowledgeable about statistical and machine learning models and can explain them equally well to experts and laypersons.
  • You comprehend complex problems quickly and are creative in finding solutions.
  • You understand media measurement or are able to quickly pick up domain knowledge on the job.
  • You write productionquality code and enjoy operationalizing your solutions at scale.
  • Youre able to shift gears quickly and adapt to changing circumstances and business needs.
  • You have experience working with teams and maintaining velocity in complex projects.
  • You see the big picture and enjoy digging into the details.
### Responsibilities:

#### Data Integration:

  • Develop custom dataintegration solutions from requirements specification and model development to implementation and delivery.
  • Build deep contextual understanding of media planning use cases.
  • Apply critical thinking to model output and production processes.
  • Interface with clients and internal stakeholders to evolve Nielsens wellestablished fusion methodology for matching respondentlevel data from multiple sources.
  • Engineer and automate model pipelines.
#### Data Quality:

  • Define and implement data quality assessments.
  • Perform creative and effective analyses of input and output data.
  • Create dashboards with informative data visualization.
#### Reports and Documentation:

  • Produce readable code and documentation of methodologies and software.
  • Produce presentations of modeling approaches and outcomes to internal and external stakeholders.
  • Produce management reports as required.
  • Document procedures and keep them updated.
### Skills (E=Expected, P=Preferred):

  • E: University degree in computer science, statistics, operational research, STEM, or a similar field, with outstanding analytical expertise.
  • E: 4 years work experience in data science and machine learning.
  • E: Proficiency in SQL, experience working with largescale relational databases.
  • E: Proficiency in Python, Spark, or Scala to develop shareable software with the appropriate technical documentation.
  • E: Working knowledge of bash and git.
  • E: Passion for analyzing and utilizing large data sets.
  • P: Experience working with cloudbased or big data technologies (e.g., Databricks, Airflow, AWS).
  • E: Experience with Atlassian suite.
  • E: Ability to work alone and in a team.
  • E: Strong communication and presentation skills, with a keen eye for detail.
  • P: Interested in the media landscape and measurement methodologies. Experience in online media and the ad tech ecosystem is advantageous.

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