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DESCRIPTION:To further our objectives of creating future-ready students and
  building a dynamic data science community\, we are introducing our first 
 CSCDS Data Science Expo. On January 21\, 2020\, we will welcome speakers a
 nd panelists to share their experience and perspective in the field of dat
 a science. There will also be the opportunity for companies and organizati
 ons to showcase themselves and to connect with young and determined minds 
 – undergraduate and graduate students\, 91µĽş˝ĘÓƵ Alumni\, post doctoral stud
 ents and other professionals.  We hope you’ll be a part of what we anticip
 ate will become a growing yearly event to advance and connect the Montreal
  data science community.\n\nAbout CSCDS:\n\nThe world’s problems are incre
 asingly technical and increasingly social at the same time. Every company 
 and organization needs to bridge the worlds of arts\, humanities and data 
 science in order to address them. The Centre for Social and Cultural Data 
 Science (CSCDS\, or “cascades”) is building that bridge. We are creating a
  new kind of student who can imagine and deliver innovative\, relevant\, a
 nd responsible uses of data science that authentically engage with the cha
 llenges governments\, companies\, and organizations face.\n\n\n	\n		\n			\n				CSCDS
  Data Science Expo 2020 Schedule*\n			\n		\n		\n			 \n			\n				Welcome to Data Science\n			\n			
 \n				Design & Poligy\n			\n			\n				Analytics & Development\n			\n			\n				Booths\n			\n		\n		\n			8:00\n			 
 \n			 \n			 \n			Booth Set Up\n		\n		\n			8:30\n			 \n			 \n			 \n		\n		\n			9:00\n			 \n			 \n			 \n		\n		\n			9:30\n			 \n			 
 \n			 \n		\n		\n			10:00\n			From Courses to Careers’ by Derek Ruths\, Director of the 
 Centre for Social and Cultural Data Science and Associate Professor of Com
 puter Science at 91µĽş˝ĘÓƵ\n			 \n			 \n			Booths Open\n		\n		\n			10:30\n			Getting 
 Data Protection and Policies Right - It's Not Easy! with Danielle Miller O
 lofsson of BCF Avocats d'affaires\n			 \n		\n		\n			11:00\n			 \n			 \n		\n		\n			11:30\n			'But I'm
  Not Qualified to be a Data Scientist!':  How to Transition from Universit
 y to the Data Science Industry with Erika Braithwaite of Precision Analyti
 cs\n			 \n			\n				Data Science App Development in the Real World with Kevin Phan of
  Plotly\n			\n		\n		\n			12:00\n			 \n		\n		\n			12:30\n			What is Data Science? all day long at 
 the CSCDS bo\n			 \n			Geoinformatics: Data Science through a Geographic Lens’ b
 y Grant McKenzie\, Assistant Professor in the Department of Geography at M
 cGill University.\n		\n		\n			13:00\n			Data Science\, Elections\, Politics and Medi
 a’ by Aengus Bridgman of the Digital Democracy Project\n		\n		\n			13:30\n			\n				Cogni
 tive Diversity is Key to Successful AI Transformation’ by Amir Danak of Qu
 antum Black\n			\n		\n		\n			14:00\n			TBA with Microsoft Research\n		\n		\n			14:30\n			 \n		\n		\n			1
 5:00\n			 \n			How diverse disciplines advance AI solutions at Microsoft Researc
 h” with Fernando Diaz of Microsoft Research\n		\n		\n			15:30\n			\n				How Social and D
 esign Play a Crucial Role in Building Impactful\, Usable AI with Jason Sta
 nley of ElementAI\n\n				 \n\n				Anyone can cook! The value of diverse educationa
 l backgrounds on data science teams” by Jenn Marton of Data Sciences\n			\n		\n
 		\n			16:00\n			 \n			Booth Break Down\n		\n		\n			16:30\n			 \n			 \n		\n		\n			17:00\n			 \n			 \n		\n		\n			 \n			 \n
 			 \n			 \n		\n	\n\n\n*Schedule and panel topics subject to change\n\nCSCDS 2020 -
  Getting Data Protection and Policies Right - It’s Not Easy!’ with Daniell
 e Miller Olofsson of BCF Business Law \n	January 21\, 10:00 am -11:00 am\n	N
 ew Residence Hall\n	RSVP through myFuture\n\nWhether collected from stop li
 ght cameras\, smart devices\, or social media - data contains snapshots of
  people's everyday lives. This makes the data that companies collect sensi
 tive and important to treat with care. A lot of well-intentioned companies
  get this wrong. Whether as a legal consultant\, a user interface designer
 \, a marketer\, or a developer\, it's important to be aware of how to trea
 t data properly. This session will walk through several case studies and s
 how how tricky it can be to get data collection\, privacy\, and protection
  right - and why it requires a team with a wide range of expertise - from 
 security to public policy - to get it right.\n\n\nCSCDS 2020 - From Course
 s to Careers’ by Derek Ruths\, Director of the Centre for Social and Cultu
 ral Data Science and Associate Professor of Computer Science at 91µĽş˝ĘÓƵ Uni
 versity\n	January 21\, 10:15 am - 11:15 am\n	New Residence Hall\n	RSVP throug
 h myFuture\n\nWhether you're majoring in environment\, communications\, la
 nguage\, or statistics\, 91µĽş˝ĘÓƵ has many opportunities for students to gai
 n skills and experiences that will position them for a career in data scie
 nce. In this session\, Derek Ruths – professor of Computer Science and dir
 ector of the Centre for Social and Cultural Data Science – will highlight 
 available programs\, courses\, and extracurricular opportunities. We'll ch
 art paths for students in all kinds of degree programs that lead to career
 s in the world of data science.\n\n\nCSCDS 2020 - Data Science App Develop
 ment in the Real World with Kevin Phan of Plotly\n	January 21\, 11:15 am -1
 2:15 am\n	New Residence Hall\n	RSVP through myFuture\n\nPlotly's visualizati
 on products are used by businesses across a wide array of industries\, by 
 people in all different kinds of roles - from engineering to sales to HR. 
 Kevin will touch on Plotly's experiences building and deploying in these e
 nvironments. He will highlight the importance of considering the end user'
 s perspective when developing data science projects: whether straightforwa
 rd visualizations or complex interactive modeling tools.\n\n\nCSCDS 2020 -
  But I’m not qualified to be a data scientist!”: How to transition from un
 iversity to the data science industry with Erika Braithwaite of Precision 
 Analytics\n	January 21\, 11:30 am -12:30 pm\n	New Residence Hall\n	RSVP throu
 gh myFuture\n\nAre you thinking about transitioning to a data science care
 er and don’t know where to start? In this session\, I’ll share my experien
 ce starting a data science company after leaving academia. As a trained ep
 idemiologist\, I had to rebrand myself as a data scientist and as the comp
 any grew\, I’ve also had to hire data scientists. I’ve screened hundreds o
 f CV’s\, conducted countless interviews and spoken to many folks who have 
 finished university and are looking to move to industry. I want to share w
 hat I’ve learned and hope to provide some tips about how write your CV\, h
 ow to re-brand yourself\, and how to approach companies to make the transi
 tion from the university environment to an industry job in data science as
  smooth as possible.\n\n\nCSCDS 2020 - Geoinformatics: Data Science throug
 h a Geographic Lens’ by Grant McKenzie\, Assistant Professor in the Depart
 ment of Geography at 91µĽş˝ĘÓƵ\n	January 21\, 12:30 pm - 1:30 pm\n	N
 ew Residence Hall\n	RSVP through myFuture\n\nGeoinformatics (or Geographic 
 Information Science) is the scientific discipline that studies data struct
 ures and computational techniques to capture\, represent\, process\, and a
 nalyze geographic information. From the early efforts of John Snow tracing
  the source of the London cholera outbreak in 1854\, to GPS-enabled milita
 ry drone strikes\, and crisis mapping efforts in Puerto Rico\, the ability
  to model and analyze geospatial information has been essential. In this t
 alk\, Dr. McKenzie will give an overview of the field and career opportuni
 ties by discussing a range of cutting edge geospatial projects in governme
 nt and industry.\n\n\nCSCDS 2020 - Data Science\, Elections\, Politics and
  Media’ by Aengus Bridgman of the Digital Democracy Project\n	January 21\, 
 12:45 pm - 1:45 pm\n	New Residence Hall\n	RSVP through myFuture\n\nAs social
  behaviour increasingly moves online\, the amount of politically-relevant 
 data is growing. Traditional approaches to understanding mass political pa
 rticipation\, the media environment\, and electoral politics simply cannot
  keep up with the wealth of information we have today. Consequently\, data
  science is a major growth field for studying election\, politics\, and me
 dia. This workshop explores how data science can help journalists\, academ
 ics\, and the general public understand elections today.\n\n\nCSCDS 2020 -
  How diverse disciplines advance AI solutions at Microsoft Research with F
 ernando Diaz of Microsoft Research\n	January 21\, 2:00 pm - 3:00 pm\n	New Re
 sidence Hall\n	RSVP through myFuture\n\nOver the past few years\, artificia
 l intelligence (AI) has moved from an area of academic research to a ubiqu
 itous engineering discipline. In this presentation\, I will reflect on the
  importance of approaching AI engineering problems as a dialog between mul
 tiple disciplines. Using web search as an example\, I will describe on how
  an interdisciplinary approach can help in defining problems\, engineering
  solutions\, and monitoring performance. I will then present the current w
 ork at Microsoft Research Montréal that studies the societal impacts of ar
 tificial intelligence using this approach.\n\n\nCSCDS 2020 - Anyone can co
 ok! The value of diverse educational backgrounds on data science teams by 
 Jenn Marton of Data Sciences\n	January 21\, 3:00 pm - 4:00 pm\n	New Residenc
 e Hall\n	RSVP through myFuture\n\nData Sciences (DS) is a Montreal-based co
 mpany that brings together data scientists\, researchers\, and digital mar
 keting specialists in order to understand how audiences behave and predict
  how to best engage them. Our data sciences team comes from a variety of e
 ducational backgrounds - from psychology to computer science to genetics. 
 This talk will highlight several scenarios where diverse educational backg
 rounds improved the speed and/or accuracy of data science projects by supp
 orting thorough troubleshooting\, facilitating experimental design\, and i
 mproving feature selection and engineering.\n\n\nCSCDS 2020 - How Social S
 cience and Design Play a Crucial Role in Building Impactful\, Usable AI' w
 ith Jason Stanley of Element AI\n	January 21\, 3:15 pm - 4:15 pm\n	New Resid
 ence Hall\n	RSVP through myFuture\n\nWhen we hear talk of machine learning\
 , most people think of models and algorithms alone. But often machine lear
 ning can't survive in the wild without a rich set of human systems wrapped
  around it. For example\, people need to make judgements about when and wh
 ere machine decisions should be automated\, the quality and cadence of hum
 an intervention in machine decisions\, how and when to augment the data us
 ed to train a machine in response to a changing world\, and so on. Without
  these human systems\, machine learning tools often nosedive when confront
 ed with a world more complex and dynamic than the 'lab'. In other words\, 
 technical modelling skills will only get us so far in building AI systems.
  We need people from design\, the social sciences\, and beyond to do this 
 well.\n\n\n \n\nPARTICIPATING FAIR ORGANIZATIONS (more to come)\n\n\n	\n		\n			
 \n				ORGANIZATION\n			\n			\n				WEBSITE\n			\n			\n				OVERVIEW\n			\n			\n				DESIRED DEGREES\n			\n			\n				DESIRE
 D MAJORS\n			\n			\n				POSITION TYPES\n			\n		\n		\n			Analysis Group - Groupe d'analyse\n			htt
 p://www.analysisgroup.com\n			Analysis Group provides economic\, financial\, 
 and business strategy consulting to law firms\, corporations\, and governm
 ent agencies. Through our work in thousands of cases across multiple indus
 tries\, we have built a reputation for excellence by providing fact-based\
 , thoughtful interpretation of complex legal and business issues.\n			Undergr
 aduate (Bachelor) / Premier cycle (baccalauréat)\, Graduate (Masters/Docto
 rate) / D'études supérieures (maîtrise / doctorat)\, Post Doc Fellows / Bo
 ursier Post Doctoral\n			Computer Science / L'informatique\, Data Engineering
  / Ingénierie de données\, Data Science / Science des données\, Data Visua
 lization / Visualisation de données\, Epidemiology / Épidémiologie\, Healt
 h Sciences / Sciences de la santé\n			Full-time / Temps Plein\, Internship / 
 Stage\n		\n		\n			Audela\n			\n				https://au-dela.ca/\n			\n			Audela is an AI company provid
 ing software solutions and services for communication service providers. W
 e focus on developing solutions based on Artificial Intelligence to help o
 rganizations build unbundled\, open-source\, technology-agnostic\, virtual
 ized\, software-defined networks. We work closely with international partn
 ers in the telecommunications field such as B-Yond https://www.b-yond.com/
 \, AccuV https://www.accuv.com/\, Nexius https://www.nexius.com/\, and Int
 elgica https://www.intelgica.com/.\n			Undergraduate (Bachelor) / Premier cyc
 le (baccalauréat)\, Graduate (Masters/Doctorate) / D'études supérieures (m
 aîtrise / doctorat)\, Post Doc Fellows / Boursier Post Doctoral\n			Computer 
 Science / L'informatique\, Data Engineering / Ingénierie de données\, Data
  Science / Science des données\n			Full-time / Temps Plein\, Internship / Sta
 ge\, Summer / Été\n		\n		\n			Automat Technologies Inc\n			http://automat.ai\n			Automa
 t is an AI digital marketing company that helps brands deliver messaging e
 xperiences that are tailor-made for each individual consumer and vastly ou
 tperform traditional digital marketing.\n			Undergraduate (Bachelor) / Premie
 r cycle (baccalauréat)\, Graduate (Masters/Doctorate) / D'études supérieur
 es (maîtrise / doctorat)\n			Computer Science / L'informatique\, Data Enginee
 ring / Ingénierie de données\, Data Science / Science des données\, UX\n			Fu
 ll-time / Temps Plein\, Internship / Stage\, Summer / Été\n		\n		\n			BDC\n			https:
 //www.bdc.ca/en/pages/home.aspx\n			\n				BDC is the only bank devoted exclusivel
 y to entrepreneurs. It provides access to financing\, both online and in-p
 erson\, as well as advisory services to help Canadian businesses grow and 
 succeed. Its investment arm\, BDC Capital\, offers a wide range of risk ca
 pital solutions. For 75 years and counting\, BDC's purpose has been to sup
 port entrepreneurs in all industries and all stages of growth. For more in
 formation and to consult more than 1\,000 free tools\, articles and entrep
 reneurs' stories\, visit bdc.ca.\n\n				 \n			\n			n/a\n			n/a\n			n/a\n		\n		\n			Data Sciences
 \n			https://datasciences.ca\n			Data Sciences is a different type of agency. We
  bring data and digital together to deliver unmatched\, measurable results
 . Data Sciences is a group of leading experts in the fields of data analyt
 ics\, research\, digital marketing and engagement campaigns that have a co
 mmon goal to make a difference. Together we help organizations including C
 anadian and international NGOs\, political parties\, and major companies l
 everage data to produce measurable results.\n			Undergraduate (Bachelor) / Pr
 emier cycle (baccalauréat)\, Graduate (Masters/Doctorate) / D'études supér
 ieures (maîtrise / doctorat)\, Post Doc Fellows / Boursier Post Doctoral\n
 			Computer Science / L'informatique\, Data Engineering / Ingénierie de donné
 es\, Data Science / Science des données\, Data Visualization / Visualisati
 on de données\, Digital Humanities /Humanités numériques\, Information Stu
 dies / Études d'information\, Management / Gestion\, Political Science / S
 cience politique\, Public Policy / Politique publique\, UX\n			Full-time / Te
 mps Plein\n		\n		\n			DRW - (formerly Vigilant)\n			http://www.drw.com\n			DRW is a tec
 hnology-driven\, diversified principal trading firm. We trade our own capi
 tal at our own risk\, across a broad range of asset classes\, instruments 
 and strategies\, in financial markets around the world. As the markets hav
 e evolved over the past 25 years\, so has DRW - maximizing opportunities t
 o include real estate\, cryptoassets and venture capital. With over 1000 e
 mployees at our Chicago headquarters and offices around the world\, we wor
 k together to solve complex problems\, challenge consensus and deliver mea
 ningful results. It's a place of high expectations\, deep curiosity and th
 oughtful collaboration.\n			Undergraduate (Bachelor) / Premier cycle (baccala
 uréat)\, Graduate (Masters/Doctorate) / D'études supérieures (maîtrise / d
 octorat)\, Post Doc Fellows / Boursier Post Doctoral\n			Computer Science / L
 'informatique\, Data Engineering / Ingénierie de données\, Data Science / 
 Science des données\, Data Visualization / Visualisation de données\n			Full-
 time / Temps Plein\n		\n		\n			IVADO\n			https://ivado.ca/\n			IVADO aims to bring toge
 ther industry professionals and academic researchers to develop cutting-ed
 ge expertise in data science\, operational research and artificial intelli
 gence. IVADO members provide data management methods and inform decision m
 aking for optimal resource use. In essence\, IVADO creates opportunities f
 or knowledge exchange and collaborations between the specialists\, partner
 s\, researchers and students in its network. IVADO's objective is to be th
 e link between academic expertise and the business needs of organizations\
 , from international corporations to start-ups. With over 1000 affiliated 
 scientists (researchers\, post-docs\, PhD candidates and research associat
 es)\, IVADO is an advanced multidisciplinary centre for knowledge in secto
 rs including statistics\, business intelligence\, deep learning\, applied 
 mathematics\, data mining and cybersecurity. The institute therefore suppo
 rts the development of processes to extract trends\, metrics and concrete 
 information from the jumble of big data.\n			Graduate (Masters/Doctorate) / D
 'études supérieures (maîtrise / doctorat)\, Post Doc Fellows / Boursier Po
 st Doctoral\n			Computer Science / L'informatique\, Data Engineering / Ingéni
 erie de données\, Data Science / Science des données\, Data Visualization 
 / Visualisation de données\, Digital Humanities /Humanités numériques\, Ma
 nagement / Gestion\n			Full-time / Temps Plein\, Internship / Stage\, Summer 
 / Été\n		\n		\n			Local Logic\n			\n				https://www.locallogic.co/en/\n			\n			Local Logic is 
 an insights company that uses a combination of geospatial data and user ge
 nerated usage data to quantify qualitative aspects of location for every a
 ddress in a city. The information that Local Logic has developed is used t
 o guide consumers in their purchasing decisions when it comes to choosing 
 the location of a home\, a hotel\, a vacation rental\, or even a restauran
 t. Through this data a unique dataset emerges that improves the company's 
 understanding of how the city is experienced\, perceived\, but also how it
  needs to change to be improved\n			Undergraduate (Bachelor) / Premier cycle 
 (baccalauréat)\, Graduate (Masters/Doctorate) / D'études supérieures (maît
 rise / doctorat)\, Post Doc Fellows / Boursier Post Doctoral\n			Computer Sci
 ence / L'informatique\, Data Engineering / Ingénierie de données\, Data Sc
 ience / Science des données\, Data Visualization / Visualisation de donnée
 s\, Graphic Design / Conception graphique\, Information Studies / Études d
 'information\, Management / Gestion\, Urban Planning / Aménagement\n			Full-t
 ime / Temps Plein\, Part-Time / Temps Partiel\, Internship / Stage\, Summe
 r / Été\n		\n		\n			Logibec Inc\n			https://www.logibec.com/\n			Nous mettons tout en œ
 uvre pour fournir aux acteurs du réseau de la santé au Canada des données 
 stratégiques facilitant la prise de décision. C'est avec des solutions inn
 ovantes\, qui s'ajoutent à celles déjà en place et qui sont sans cesse opt
 imisées\, que nous permettons aux gestionnaires d'avoir une vue d'ensemble
  de la performance de leur Ă©tablissement\, et ainsi de favoriser de saines
  gestions financière et clinique. Les prestataires de soins peuvent alors 
 fonctionner de façon plus efficace et à moindre coût\, le tout au bénéfice
  du patient.\n			Undergraduate (Bachelor) / Premier cycle (baccalauréat)\,\n				G
 raduate (Masters/Doctorate) / D'études supérieures (maîtrise / doctorat)\,
 \n				Post Doc Fellows / Boursier Post Doctoral\n			Computer Science / L'informat
 ique\,\n				Data Engineering / Ingénierie de données\,\n				Data Science / Science
  des données\,\n				Data Visualization / Visualisation de données\n			Full-time /
  Temps Plein\,\n				Part-Time / Temps Partiel\,\n				Internship / Stage\,\n				Summer 
 / ÉtĂ©\n		\n		\n			91µĽş˝ĘÓƵ - Master of Management in Analytics\n			https://www.mcgill.
 ca/desautels/programs/mma\n			The 91µĽş˝ĘÓƵ Master of Management in Analytics (M
 MA) degree is a pre-experience\, twelve-month specialized program in the e
 volving field of management analytics. The MMA program is designed to addr
 ess the growing needs of organisations (for profit\, non-profit\, governme
 ntal) for business analytics.\n			Undergraduate (Bachelor) / Premier cycle (b
 accalauréat)\n			Communications\, Computer Science / L'informatique\, Data En
 gineering / Ingénierie de données\, Data Science / Science des données\, D
 ata Visualization / Visualisation de données\, Digital Humanities /Humanit
 és numériques\, Environmental Studies / Études environnementales\, Epidemi
 ology / Épidémiologie\, Graphic Design / Conception graphique\, Health Sci
 ences / Sciences de la santé\, Information Studies / Études d'information\
 , Life Sciences /Sciences de la vie \, Management / Gestion\, Medicine / M
 Ă©dicine\, Music / Musique\, Political Science / Science politique\, Psycho
 logy / Psychologie\, Public Policy / Politique publique\, Urban Planning /
  AmĂ©nagement urbain\, UX\n			Full-time / Temps Plein\n		\n		\n			91µĽş˝ĘÓƵ School of Co
 ntinuing Studies\n			/continuingstudies/\n			The 91µĽş˝ĘÓƵ Sch
 ool of Continuing Studies has earned an international reputation as a lead
 er in continuing education. Our programs are innovative\, our instructors 
 are engaged\, and our learners are smart and diverse. They are students\, 
 professionals\, employees\, employers\, newcomers\, and lifelong learners 
 - and they bring with them a wide range of experience from all walks of li
 fe. Our diverse programming is designed to respond to their needs. We offe
 r daytime\, evening\, and weekend courses that take place on campus and on
 line. Look to the School to learn new skills\, connect with new friends an
 d colleagues\, and elevate your personal and professional goals\n			Graduate 
 (Masters/Doctorate) / D'études supérieures (maîtrise / doctorat)\n			Computer
  Science / L'informatique\, Data Engineering / Ingénierie de données\, Dat
 a Science / Science des données\, Data Visualization / Visualisation de do
 nnées\, Information Studies / Études d'information\n			Part-Time / Temps Part
 iel\n		\n		\n			\n				Mylo Financial Technologies Inc.\n			\n			\n				http://mylo.ai\n			\n			\n				Mylo 
 helps Canadians achieve their financial goals. How? Easy. The Mylo app rou
 nds up your everyday purchases and invests the spare change. The way it wo
 rks is simple: Download the app from the App Store or Google Play\, link y
 our bank and then go about your day as usual. Whenever you make a purchase
  with a debit or credit card that is linked to the app\, Mylo will round t
 hat transaction up to the nearest dollar and invest the difference in a di
 versified portfolio of exchange-traded funds\, which is selected according
  to your goal\, time horizon and risk tolerance. We're automating saving a
 nd investing and offering fully-managed investment services for a low\, fl
 at fee of either $1 per month for non-registered accounts or $3 per month 
 for registered accounts and SRI options. We launched the app in July 2017 
 and today\, nearly half a million Canadians have created accounts to save 
 and invest with Mylo.\n\n				Undergraduate (Bachelor) / Premier cycle (baccala
 uréat)\, Graduate (Masters/Doctorate) / D'études supérieures\n			\n			\n				Undergra
 duate (Bachelor) / Premier cycle (baccalauréat)\, Graduate (Masters/Doctor
 ate) / D'études supérieures (maîtrise / doctorat)\n			\n			\n				Computer Science / 
 L'informatique\, Data Engineering / Ingénierie de données\, Data Science /
  Science des données\, Data Visualization / Visualisation de données\n			\n			\n
 				Full-time / Temps Plein\, Internship / Stage\, Summer / Été\n			\n		\n		\n			Petro.a
 i\n			http://www.petro.ai\n			Petro.ai provides a suite of petroleum analytics s
 oftware tools that empowers oil and gas asset teams to develop assets more
  efficiently by building and sharing machine learning models\, deploying p
 ersonalized analytics workflows at scale\, and organizing\, sharing\, and 
 interacting with data more effectively than they can with any other soluti
 on on the market. At Petro.ai\, we're working towards a future where every
 one can analyze data to improve their work\, their communities\, and their
  lives. We have a culture that celebrates creative thinking\, open discuss
 ion\, skill-sharing\, and a healthy work-life balance. We're currently hir
 ing talented and experienced developers for our office in Mile End.\n			Under
 graduate (Bachelor) / Premier cycle (baccalauréat)\, Graduate (Masters/Doc
 torate) / D'études supérieures (maîtrise / doctorat)\, Post Doc Fellows / 
 Boursier Post Doctoral\n			Computer Science / L'informatique\, Data Engineeri
 ng / Ingénierie de données\, Data Science / Science des données\, Data Vis
 ualization / Visualisation de données\n			Full-time / Temps Plein\n		\n		\n			Plotly
 \n			http://plot.ly\n			Plotly is an open-core company based in Montreal\, Quebe
 c. Plotly writes and maintains the world's fastest-growing\, open-source\,
  interactive graphing libraries for Python and R\, with over 50M cumulativ
 e downloads worldwide. We're dedicated to putting world-class performant s
 cientific charting capabilities in the hands of everyday scientists\, rese
 archers\, engineers\, and analysts - that will always be free\, open-sourc
 e\, available for anyone to use and contribute to. Plotly's flagship softw
 are\, Dash\, is a free\, open-source web framework for developing analytic
  applications. Dash has achieved a monthly download rate of over 150k\, an
 d around the world over 2.6M unique viewers have read the Dash documentati
 on. In a short time\, Dash has carved out a growing market segment among F
 ortune 500 and global multinational corporations. With both open-source an
 d enterprise offerings\, Dash is designed with data scientists in mind\, p
 roviding the fastest\, easiest way for what was once esoteric and siloed t
 o become fully operationalized in the business - clearly communicated thro
 ugh interactive\, beautiful visualizations and great design.\n			Undergraduat
 e (Bachelor) / Premier cycle (baccalauréat)\, Graduate (Masters/Doctorate)
  / D'études supérieures (maîtrise / doctorat)\, Post Doc Fellows / Boursie
 r Post Doctoral\n			Computer Science / L'informatique\, Data Engineering / In
 génierie de données\, Data Science / Science des données\, Data Visualizat
 ion / Visualisation de données\, Digital Humanities /Humanités numériques\
 , Graphic Design / Conception graphique\n			Full-time / Temps Plein\, Part-Ti
 me / Temps Partiel\, Internship / Stage\, Summer / Été\n		\n		\n			Precision Anal
 ytics\n			\n				http://www.precision-analytics.ca\n			\n			Precision Analytics is a sta
 rtup based in Montreal\, Canada\, specializing in health data science. We 
 harness the latest techniques in data science as tools for faster\, better
  decision-making in the fields of biopharmaceuticals\, health\, and life s
 ciences. We combine high-level analytics with thoughtful automation to pro
 vide fast\, actionable insights from data. Our software solutions combine 
 all three pillars of data science: data infrastructure\, analytics\, and c
 ommunication. As a company\, we're excited to continue building our talent
 ed team\, forging relationships with organizations doing cutting-edge rese
 arch\, and solving challenging problems together. Our clients are working 
 to solve exciting scientific problems\, from innovative cancer research to
  scaling production of cannabis pharmaceuticals.\n			Undergraduate (Bachelor)
  / Premier cycle (baccalauréat)\, Graduate (Masters/Doctorate) / D'études 
 supérieures (maîtrise / doctorat\n			Computer Science / L'informatique\, Data
  Engineering / Ingénierie de données\, Data Science / Science des données\
 , Data Visualization / Visualisation de données\, Epidemiology / Épidémiol
 ogie\, Health Sciences / Sciences de la santé\, Life Sciences /Sciences de
  la vie\n			Full-time / Temps Plein\, Part-Time / Temps Partiel\, Internship 
 / Stage\, Summer / Été\n		\n		\n			Rio Tinto\n			http://www.riotinto.com\n			New challe
 nges demand new ideas. As experts in mining and metals\, we're looking for
  the next generation of challengers\, visionaries and pioneers. The people
  who will think beyond possibility to deliver ideas and answers that are e
 ssential to human progress. We are committed to investing in our people an
 d attracting diverse and high-calibre talent into the business. With this 
 investment\, we aim to build a dynamic and high-performing workplace with 
 the capability to meet current and future business needs. Our dynamic grad
 uate programme provides you with the opportunity to work for a business th
 at's making a meaningful difference in the way we resource the world. With
  a focus on environmental sustainability\, all while developing the skills
  of future experts and leaders\, we are creating a legacy that will improv
 e the lives of millions of people globally. We challenge you to be the pro
 gress\n			Graduate (Masters/Doctorate) / D'études supérieures (maîtrise / doc
 torat)\n			Computer Science / L'informatique\, Data Engineering / Ingénierie 
 de données\, Data Science / Science des données\, Environmental Studies / 
 Études environnementales\n			Full-time / Temps Plein\, Internship / Stage\, S
 ummer / Été\n		\n	\n\n\n \n
DTSTART;VALUE=DATE:20200121
DTEND;VALUE=DATE:20200121
LOCATION:New Residence Hall\, CA\, QC\, Montreal\, H2X 3P8\, 3625 avenue du
  Parc
SUMMARY:CSCDS Data Science Expo 2020
URL:/caps/channels/event/cscds-data-science-expo-2020-
 302507
END:VEVENT
END:VCALENDAR