Elevating women in data
THURSDAY, SEPT 9 @ 12:00 PM – 3:30 PM EDT
Sponsored by
Data Science Salon Elevate is a unique women focused virtual conference that includes BIPOC, members of the LGBTQIA+, and other underrepresented groups. This event series brings together specialists to educate each other, illuminate best practices and innovate new solutions. Learn as these thought leaders share their wisdom and experience in their chosen field.
Speakers
Lauren Stern
Data Science Community Lead at Audi of America
Beata Kouchnir
Director of Machine Learning at Glassdoor
Laura Edell
Chief Data Scientist, AI Markets & Innovation at Microsoft
Angela Bassa
Senior Director of the Data Science and Analytics Center of Excellence at iRobot
Olga Liakhovich
Principal Data Scientist at Auris Health, Inc
Piyanka Jain
President & CEO at Aryng
Schedule
(All times are US Eastern Time)
1:00pm - 1:15pm
Introduction
1:15pm - 1:45pm
Building A Data Science Community
Lauren Stern – Data Science Community Lead at Audi of America
Beata Kouchnir – Director of Machine Learning at Glassdoor
Data Science is a relatively new term circulating around the tech world. Unlike many other of our more established partner fields such as Statistics, Computer Science, and Computer Engineering we do not have the luxury of relying on institutional degrees and countless years of direct experience to determine a candidate’s ability to perform their job functions. Data Science is in the unique position of being driven at its core, by a predominantly peer led community. Building a strong Data Science Community means more than just checking off a box. It means enabling your workforce with critical technical skills, promoting the adoption of advanced analytics, and providing overall faster customer response times. It means creating an inclusive space where your employees feel heard and are able to share best practices, current issues, and new project ideas and technologies.
Dive deeper with us into what it takes to get a community set up, where some common pitfalls occur, the expected benefits for stakeholders, and finally some tips and tricks for growing your community and helping it thrive!
1:50pm - 2:20pm
BAM! Reinforcement Learning : Taking Recommenders Up a Notch
Laura Edell – Chief Data Scientist, AI Markets & Innovation at Microsoft
2:35pm - 3:05pm
Talk by Angela Bassa - Senior Director of the Data Science and Analytics Center of Excellence at iRobot
Angela Bassa – Senior Director of the Data Science and Analytics Center of Excellence at iRobot
3:10pm - 3:40pm
Talk by Olga Liakhovich - Principal Data Scientist at Auris Health, Inc
Olga Liakhovich – Principal Data Scientist at Auris Health, Inc
3:45pm - 4:15pm
Talk by Piyanka Jain - President & CEO at Aryng
Piyanka Jain – President & CEO at Aryng
4:15pm - 4:30pm
Wrap up
Register
DSS Elevate is a non-profit event. Your ticket covers our production fees so we can continue to elevate women and other underrepresented groups.
For any queries regarding Registration or Tickets, please contact us via info@formulated.by
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 better standards in hiring women for data-intense roles. To expand our mission, we are committed to creating the most inclusive and diverse community for women including BIPOC, members of the LGBTQIA+, and other underrepresented groups. By elevating our community, we have the opportunity to build a truly incredible and thriving field that influences decision-making at every level in a meaningful way.
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.
