24 Min.

E31 Paul Brenner, Head of Data Science at PlaceIQ The Alldus Podcast - AI Mentors

    • Technologie

Today's guest is Paul Brenner, Head of Data Science at PlaceIQ where he defines the role of data science within the company. Paul ensures the team works on the most impactful projects, finds new ways that they can build new products that will fulfil their client's needs and helps promote education within the organization to keep PlaceIQ ahead of the competition.

Based in New York, PlaceIQ powers critical business and marketing decisions with location data, analytics and insights. Companies can uncover opportunities within the consumer journey by learning about and connecting with location-based audiences, measuring real-world ROI, and applying insights that drive intelligent marketing and successful business outcomes.

In the episode, Paul will discuss:

How he helped grow the Data Science function at PlaceIQ,

The different paths available for Data Scientists,

Advice on deciding when to apply Machine Learning in your business,

What to consider when making your next career move,

Building a high-performing data science team,

and His top interview tips.

Today's guest is Paul Brenner, Head of Data Science at PlaceIQ where he defines the role of data science within the company. Paul ensures the team works on the most impactful projects, finds new ways that they can build new products that will fulfil their client's needs and helps promote education within the organization to keep PlaceIQ ahead of the competition.

Based in New York, PlaceIQ powers critical business and marketing decisions with location data, analytics and insights. Companies can uncover opportunities within the consumer journey by learning about and connecting with location-based audiences, measuring real-world ROI, and applying insights that drive intelligent marketing and successful business outcomes.

In the episode, Paul will discuss:

How he helped grow the Data Science function at PlaceIQ,

The different paths available for Data Scientists,

Advice on deciding when to apply Machine Learning in your business,

What to consider when making your next career move,

Building a high-performing data science team,

and His top interview tips.

24 Min.

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