Five Mindsets to Succeed as a Data Scientist IRL Pallav Agrawal, - - PowerPoint PPT Presentation

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Five Mindsets to Succeed as a Data Scientist IRL Pallav Agrawal, - - PowerPoint PPT Presentation

Aug 05, 2023 348 likes •1.09k views

Five Mindsets to Succeed as a Data Scientist IRL Pallav Agrawal, Director, Data Science Levi Strauss & Co. I WANT TO KNOW YOU What do Data Scientists Create? Create Concise Generalizations 90 percent of the data in the world today

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Five Mindsets to Succeed as a Data Scientist IRL

Pallav Agrawal,

Director, Data Science Levi Strauss & Co.

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I WANT TO KNOW YOU

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What do Data Scientists Create?

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Create Concise Generalizations

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“90 percent of the data in the world today has been created in the last two years alone”

  • IBM Marketing Study
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https://twitter.com/Johnny_Uzan/status/1031742658048352257

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source

Data Science

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Data Science is a lot like Observational Astronomy

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  • - Occam’s razor
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Develop a really good BS Filter

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source

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https://www.facebook.com/dan.ariely/posts/904383595868

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Companies with ‘.ai’ domains raise 3.5x more money

source source

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https://twitter.com/xaprb/status/930674776317849600

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source

Data Science

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source

“To ascend this pyramid fast…”

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source

“First build this pyramid you must…”

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AI Startups Executives

The Dunning-Kruger Effect

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‘AI’ as a Service powers the Flywheel….

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https://callingbullshit.org/

“Bullshit involves language, statistical figures, data graphics, and other forms of presentation intended to persuade by impressing and overwhelming a reader or listener, with a blatant disregard for truth and logical coherence.”

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Learn to Think Like a Lawyer

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What is a Sandwich?

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Is this a Sandwich?

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Is this a Sandwich?

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Is this a Sandwich?

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Is this a Sandwich?

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Is this a Sandwich?

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Are any of these a Sandwich?

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“SANDWICHES” AS USED IN ARTICLES 47 AND 48 OF TITLE 12, C.R.S. ARE DEFINED AS SINGLE SERVING ITEMS SUCH AS HAMBURGERS, HOT DOGS, FROZEN PIZZAS, BURRITOS, CHICKEN WINGS, ETC.”

  • Colorado Department of Revenue, Liquor Enforcement Division

source

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“I know it, when I see it”

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What about Fraud Detection?

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Or Predicting CLTV?

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It often helps to frame a problem statement like a Legal Contract

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Kozyrkov’s Razor

“When decision-makers don’t realize that thinking deeply is their job, remind them.”

source

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Utilize UI/UX to Improve CX

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“FB Messenger Bot was unable to understand 70% of customer queries”

  • Motley Fool
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“41% of consumers say they stopped shopping with a company because

  • f “poor

personalization.”

  • Accenture
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Design for Trust

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Encourage User Feedback

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Show, Don’t Tell

Wizard of Oz Testing Start with an MVP

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“You have to start with the customer experience and work backwards to the technology” Steve Jobs

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Three (timeless) books to get you started

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Data Science is a Team Sport

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Types of Data Science Practiced Today:

Marketing/PR Centric:

Where the hype around ‘AI’ is used to improve perception of an aging company among Wall Street Analysts

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Types of Data Science Practiced Today:

Marketing/PR Centric:

Where the hype around ‘AI’ is used to improve perception of an aging company among Wall Street Analysts

Research Centric:

Where the discovery of new algorithms is central to maintain the company’s competitive advantage

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Types of Data Science Practiced Today:

Marketing/PR Centric:

Where the hype around ‘AI’ is used to improve perception of an aging company among Wall Street Analysts

Research Centric:

Where the discovery of new algorithms is central to maintain the company’s competitive advantage

Recruiting Centric:

Where the only way the company can attract the best minds is through “look at all this cool AI we are doing!”

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Types of Data Science Practiced Today:

Marketing/PR Centric:

Where the hype around ‘AI’ is used to improve perception of an aging company among Wall Street Analysts

Research Centric:

Where the discovery of new algorithms is central to maintain the company’s competitive advantage

Recruiting Centric:

Where the only way the company can attract the best minds is through “look at all this cool AI we are doing!”

Ego-Centric:

Where the CEO wants to appear a visionary at Techcrunch Disrupt by unloading a bunch of Singularity references

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Types of Data Science Practiced Today:

Marketing/PR Centric:

Where the hype around ‘AI’ is used to improve perception of an aging company among Wall Street Analysts

Research Centric:

Where the discovery of new algorithms is central to maintain the company’s competitive advantage

Recruiting Centric:

Where the only way the company can attract the best minds is through “look at all this cool AI we are doing!”

Ego-Centric:

Where the CEO wants to appear a visionary at Techcrunch Disrupt by unloading a bunch of Singularity references

Business Centric:

Where the most important business decisions are made using insights derived from the scientific use of data

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Types of Data Science Practiced Today:

Marketing/PR Centric:

Where the hype around ‘AI’ is used to improve perception of an aging company among Wall Street Analysts

Research Centric:

Where the discovery of new algorithms is central to maintain the company’s competitive advantage

Recruiting Centric:

Where the only way the company can attract the best minds is through “look at all this cool AI we are doing!”

Ego-Centric:

Where the CEO wants to appear a visionary at Techcrunch Disrupt by unloading a bunch of Singularity references

Business Centric:

Where the most important business decisions are made using insights derived from the scientific use of data

Data Science as a Team Sport

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Business-Centric Data Science is a Team Sport

Cheerleader Business Stakeholder Customer Insights DevOps Project Manager

Technical Product Manager

Data Scientist Data Engineer UI/UX Data Analyst Subject Matter Expert

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Roadmap Development

Customer Business Technology

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Roadmap Development

Customer Business Technology Desirability

I want:

  • Free 1-hour delivery on orders
  • Beyonce’s look from Coachella
  • To experience the feel of the

garment virtually

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Roadmap Development

Customer Business Technology Desirability

I want:

  • Free 1-hour delivery on orders
  • Beyonce’s look from Coachella
  • To experience the feel of the

garment virtually

Viability

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Roadmap Development

Customer Business Technology Desirability

I want:

  • Free 1-hour delivery on orders
  • Beyonce’s look from Coachella
  • To experience the feel of the

garment virtually

Viability Feasibility

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Roadmap Development

Customer Business Technology Desirability Feasibility Viability

I want:

  • Free 1-hour delivery on orders
  • Beyonce’s look from Coachella
  • To experience the feel of the

garment virtually

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Ideation

Uncovering Automation Opportunities: If I could identify/recognize/interpet _____________________________________________ in __________________________________________, I could _____________________________________. Hint: sources could include anything from images, video, audio, text or a mix of these. http://milkandhoney.ai/

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Ideation

Uncovering Prediction Opportunities: If I could predict precisely how much/many _____________________________________________ at any given moment, I could _____________________________________________.

Hint: identify places where you currently rely on estimates and averages to make decisions.

If I could predict the fastest way to _____________________________________________ at any given moment, I could _____________________________________________.

Hint: identify processes that require moving something from point A to point B with multiple paths to choose from.

http://milkandhoney.ai/

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RECAP

Data Science is the process of extracting concise and actionable insights from data through scientific rigor Practice healthy skepticism towards most remarkable claims, and cautious optimism towards the applicability of positive results Before executing, first craft a precise problem statement developed with decision makers using data and subject matter expertise Focus on improving the customer experience by making the customer journey intuitive and frictionless Learn to communicate and collaborate within interdisciplinary teams to build products that lie at the intersection of desirability, viability and feasibility

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Questions?

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Are you doing analytics or statistics? Cargo Cult science?

Some Key Principles

  • use many data sources (the plural of

anecdote is not data)

  • understand how the data were collected

(sampling is essential)

  • weight the data thoughtfully (not all polls are

equally good)

  • use statistical models (not just hacking

around in Excel)

  • understand correlations (e.g., states that

trend similarly)

  • think like a Bayesian, check like a frequentist

(reconciliation)

  • have good communication skills (What does a

60% probability even mean? How can we visualize, validate, and understand the conclusions?)

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Data science produces insights about people Machine learning produces predictions for people to use Artificial intelligence produces actions to help people

  • David Robinson, Chief Data Scientist at DataCamp
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What the team depends on a Technical Product Manager for:

  • Vision and Roadmap Development
  • Customer Needs and Wants
  • Ideation and Solutioning
  • Goal Setting: KPI’s, OKR’s
  • Domain Knowledge
  • Technical Fluency
  • Cross-Functional Communication

In the absence of whom, these responsibilities are delegated to the most willing, or remain unfulfilled.

TPM

Data Science Data Eng. UI/UX Project Manager. Biz Customer Insights