Elevating the Experiences of Women in Data

San Francisco | April 21, 2020

Sponsored by

DATA SCIENCE SALON ELEVATE IS A UNIQUE FEMALE FOCUSED CONFERENCE WHICH BRINGS TOGETHER SPECIALISTS FACE-TO-FACE TO EDUCATE EACH OTHER, ILLUMINATE BEST PRACTICES AND INNOVATE NEW SOLUTIONS IN A CASUAL ATMOSPHERE WITH FOOD, GREAT COFFEE AND ENTERTAINMENT.

Register now

Early Bird Ticket

Individual

$99

All sessions | Regular seating
Food included | Opening reception

About

Get access to powerful decisionmakers in data science in an intimate setting at Data Science Salon Elevate, the leading female-focused industry conference series around applications AI and Machine Learning. Learn from practitioners, technical experts and executives how to solve real-world problems by harnessing disruptions in data, artificial intelligence, machine learning, and cutting-edge technologies. Workshop real-world issues with other attendees, like overcoming imposter syndrome, connecting with mentors, and navigating non-traditional career paths. At DSS Elevate, we connect you with our powerful community face-to-face and digitally – each ticket comes with one year of access to DSS Insider, the content repository for all Data Science Salons.

Data Science Salons are one- or two- day events hosted at Blue Chip companies. Over 50% of our 200-500 attendees at each conference are data decisionmakers (Sr. Data Scientists and above). And we are the only data science conference with a gender balance in our speaking roster, even beyond our female-focused events.

sample of topics covered:

Machine learning best practices
Data strategy and governance
Data ethics and bias
Recommendation engines
Designing ML pipelines efficiently
Career paths
Hiring and Recruitment
Seeking mentorship with purpose
The importance of female-first spaces
Navigating male-dominated teams
Overcoming imposter syndrome
Data science teams: managing, building, collaboration
Integrating open source tools into your workflows
Data and AI for emerging platforms
Data governance

About DSSe

DSSe is an initiative to elevate and connect the voices of women in data science and encourage companies to set a better habit to generally consider women for data-intense roles.

DSSe is important because the field of Data Science is still young — for it to fulfill its true potential, we need voices that reflect the full experience of the world we live in to contextualize our data-derived insights.

By elevating women and other underrepresented groups, we have the opportunity to build a truly incredible and thriving field that influences decision-making at every level in a meaningful way.

Speakers

Alice Zheng

Alice Zheng

Sr Manager, Applied Science at Amazon

Ahna Girshick

Ahna Girshick

Senior Computational Research Scientist at AncestryDNA

Chandni Kazi

Chandni Kazi

Data Scientist at Great Place to Work US

Gabriela de Queiroz

Gabriela de Queiroz

Founder at RLadies

Sivan Aldor-Noiman

Sivan Aldor-Noiman

Head of Data Science and Data Engineering at Wellio

Anjali Samani

Anjali Samani

Director, Data Science at CircleUp

Anupama Joshi

Anupama Joshi

Director, AI – Personalization, Computer Vision and MLaaS at Target

Katie Kent

Katie Kent

Co-founder at Placement.com

Ravit Weissman

Ravit Weissman

Sr. Data Insights Manager at Yahoo

Bethany Doran

Bethany Doran

Founder at Lumas Health, Inc

Jing Sang

Jing Sang

Analytics Manager at Dropbox

Kelly Uphoff

Kelly Uphoff

Vice President, Content & Marketing Data Science & Engineering at Netflix

Nicole Hu

Nicole Hu

CTO at One Concern, Inc

Kay Sin

Kay Sin

Technical Program Manager at LinkedIn

Rekha Bachwani

Rekha Bachwani

Senior ML Engineer at Netflix

What people are saying

Having successful women to look up to as role models in data science is part of the solution to inspire more women to join the field.

Jessica Renaud

BI Analyst, Videotron

“DSSe is important because the field of Data Science is still young — for it to fulfill its true potential, we need voices that reflect the full experience of the world we live in to contextualize our data-derived insights.

By elevating women and other underrepresented groups, we have the opportunity to build a truly incredible and thriving field that influences decision-making at every level in a meaningful way.”

Amarita Natt

Sr. Economist, Econ One Research

DSSe provides a platform where women can exhibit their perspectives on leadership in data science and analytics. DSSe is providing this platform in the face of hundreds of thousands of new jobs being created in these fields over the next few years. In doing so, DSSe contributes to improving the diversity of thought and experience required for a thriving data science and analytics workforce.

Karen Bellin

VP Data and Analytics, Mirum Agency

Schedule

8.30AM – 9.25AM

Registration

9.00am - 9.30am

30 min talk

Alice Zheng – Sr Manager, Applied Science at Amazon

9.35am - 10.05am

30 min talk

Kelly Uphoff – VP, Content & Marketing Data Science & Engineering at Netflix

10.05am - 10.25am

20 min talk

Ahna Girshick – Senior Computational Research Scientist at AncestryDNA

10.25AM – 10.55AM

Coffee Break & Networking

10.55am - 11.25pm

30 min talk

Chandni Kazi – Data Scientist at Great Place to Work US

11.25am - 11.55am

30 min talk

Sivan Aldor-Noiman – Head of Data Science and Data Engineering at Wellio

12.00pm - 12.20pm

20 min talk

Nicole Hu – CTO at One Concern, Inc

12.20pm - 12.50pm

30 min talk

Anjali Samani – Director, Data Science at CircleUp

12.50PM – 1.50PM

Lunch Break & Networking

1:50pm - 2:35pm

45 min panel

Jing Sang – Analytics Manager at Dropbox
Katie Kent (moderator) – Co-founder at Placement.com
Rekha Bachwani – Senior ML Engineer at Netflix

2:35pm - 3:05pm

30 min talk

Anupama Joshi – Director, AI – Personalization, Computer Vision and MLaaS at Target

3.05PM – 3.35PM

Coffee Break & Networking

3:35pm - 4:05PM

Apples to Apples Bucket Testing

Ravit Weissman – Sr. Data Insights Manager at Yahoo

Bucket testing (aka A/B testing) is an effective way to compare and select website variants that serve us best.
What are we trying to achieve with bucket testing? What can bias our test? How can we test more, per a given amount of traffic? What is a back bucket and why do we need it? How long shall we run the test for, and what should we do when it’s hard to decide?

We will address these and related questions by evaluating several use cases.

About the speaker

I am a Sr. manager of Data insights @ VerizonMedia (previously Yahoo!), where I manage the Marketplace Operations team and provide analytical insights into the advertising. Previously I worked for a startup company in the area of visual search, where I headed analytics, and prior to that in several other companies. I have two decades of experience in data science and analytics, specifically in the area of bucket testing, managing/setting and analysis, on which I chose to focus my talk.

4:05pm - 4:35PM

30 min talk

Bethany Doran – Founder at Lumas Health, Inc

4:35PM - 5:05PM

Gabriela de Queiroz – Founder at RLadies

30 min talk

Frida Polli – Founder and CEO Pymetrics

5:05PM - 5:25PM

Overcoming Early Career Imposter Syndrome

Kay Sin – Technical Program Manager at LinkedIn

5:25pm - 5:55PM

30 min talk

Speaker TBD

5:55pm - 6:00PM

Closing remarks

Formulatedby

6.00PM – 8.00PM

Networking Reception

Register now

Early Bird Ticket

Individual

$99

All sessions | Regular seating
Food included | Opening reception

media partners

DATE AND TIME

April 21, 2020

8:00 AM – 6:00 PM EST

 

LOCATION

Netflix HQ, 131 Albright Way 

Los Gatos, CA 95032

Get in touch: info@formulated.by (415) 322-0760

Get in touch:

 info@formulated.by  

(415) 322-0760