Five Mindsets to Succeed as a Data Scientist IRL€¦ · anecdote is not data) • understand how...
Transcript of Five Mindsets to Succeed as a Data Scientist IRL€¦ · anecdote is not data) • understand how...
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 has beencreated in the last two years alone”- IBM Marketing Study
https://twitter.com/Johnny_Uzan/status/1031742658048352257
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Data Science
Data Science is a lot like Observational Astronomy
-- Occam’s razor
Develop a really good BS Filter
https://www.facebook.com/dan.ariely/posts/904383595868
Companies with ‘.ai’ domains raise 3.5x more money
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https://twitter.com/xaprb/status/930674776317849600
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Data Science
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“To ascend this pyramid fast…”
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“First build this pyramid you must…”
AI StartupsExecutives
The Dunning-Kruger Effect
‘AI’ as a Service powers the Flywheel….
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.”
Learn to Think Like a Lawyer
What is a Sandwich?
Is this a Sandwich?
Is this a Sandwich?
Is this a Sandwich?
Is this a Sandwich?
Is this a Sandwich?
Are any of these a Sandwich?
“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
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“I know it, when I see it”
What about Fraud Detection?
Or Predicting CLTV?
It often helps to frame a problem statement like a Legal Contract
Kozyrkov’s Razor“When decision-makers don’t realize
that thinking deeply is their job, remind them.”
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Utilize UI/UX to Improve CX
“FB Messenger Bot was unable to understand 70% of customer queries”- Motley Fool
“41% of consumers say they stopped shopping with a company because of “poor personalization.”-Accenture
Design for Trust
Encourage User Feedback
Show, Don’t Tell
Wizard of Oz Testing Start with an MVP
“You have to start with the customer experience and work backwards to the
technology”Steve Jobs
Three (timeless) books to get you started
Data Science is a Team Sport
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
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
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!”
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
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
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
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
Roadmap DevelopmentCustomer
Business Technology
Roadmap DevelopmentCustomer
Business Technology
Desirability
I want:
● Free 1-hour delivery on orders● Beyonce’s look from Coachella● To experience the feel of the
garment virtually
Roadmap DevelopmentCustomer
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
Roadmap DevelopmentCustomer
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
Roadmap DevelopmentCustomer
Business Technology
Desirability
FeasibilityViability
I want:
● Free 1-hour delivery on orders● Beyonce’s look from Coachella● To experience the feel of the
garment virtually
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/
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/
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
Questions?
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?)
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
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