Data Science Manager (Bangkok Bangkok hung) at Agoda
Locality Vancouver, BC, Canada
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About the Company, Agoda is a website that allows you to bespeak hospices, bunks, and other journey arrangements online. We catalyze and set cut-edge technology that links drop-ins with over2.5 a million lodging options around the world. Our workers representing 90 countries, hung in Asia and part of bespeaking gear, promote a work atmosphere rich in variety, coinage, and cooperation.
Functions and Blames
Erect a dissimilar, entrepreneurial brigade by driving your brigade’s growth.
Employ various machine erudition and data analysis approaches to crack demanding challenges in the online journey and retail assiduousness.
Work on knotty issues.
Directly band with the leaders of business departments and the product direction brigade. Bring them charismatic product ideas hung on data perceptiveness that will help the company grow.
Working in one of Asia’s most sophisticated cosmopolises
Qualifications (MSc/Ph.D.) in Computer Science, Economics, Engineering, Operations Research, Physics, or Mathematics/ Statistics are preferred.
2. Data Science Analyst (Remote Remote) at Yelp
Position Toronto, ON, Canada
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About the Company Yelp is a website that connects objects with fantastic introduced businesses. Our patrons have written fair 155 million evaluations of fair every nature of the introduced company, including diners, shops, salons, and croakers, mechanics, and plumbers. These reviews are submitted by objects which use Yelp to participate in their ordinary introduced business gests, giving patrons a voice and introducing “ word of mouth ” to the internet.
Positions and Faults
Lead Yelp’s large analytics enterprise, convey critical sagacity to decision-makers, and help product leaders link new possibilities.
To answer unformed business questions, offer meaningful learnedness, induce strategic recommendations, manage tight timelines and fast reiterate studies.
Define, log, and measure Yelp’s crucial product KPIs and occasion size new ground plans with product and engineering cross-functionally.
Effectuate dashboards and automate reports to give crews across the company the tools they need to make data-driven determinations.
With clear and frequent communication, develop and maintain moving cooperations with stakeholders from both specialized and non-technical backgrounds.
Consider experimental design seriously and goad for a careful experiment.
Qualifications
An ex’s or master’s degree in a quantitative subject is necessitated (Mathematics Mathematics, Statistics, Economics, etc.)
3 cycles of quantitative assiduity experience are preferred, soon in the consumer goods area.
Excellent SQL chops, Python literacy, and at least one statistical package are boring (R, Pandas/ NumPy/ SciPy/ matplotlib, Stata, Matlab).
3. Data Science Manager, Credit (Remote Remote) at Brex
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Location Canada
About the Company, Brex is an all- near-one dollars-and-cents answer for developing companies. Adding than a bank, account, or boost program could ever do alone, we help businesses spend, save, and earn smarter — and stretch every bone farther.
Jobs and Faults
Brex ’s underwriting modeling approach is being driven and executed.
Do and foster a data-driven culture throughout the congress.
The band across departments to get models from generality to labor.
Using machine knowledge and in-house tools, do extremely efficacious, mortal-in-the- eye answers.
Recruit excellent data scientists with know-how in analytics, menace, and product government.
Empower the company to reach a high degree of specialized productivity, density, and ease of use.
Qualifications Financial hazard or credit modeling experience is a plus.
4. Data Science Headliner at SSENSE
Locality Montreal, QC, Canada
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About the Company, SSENSE is a worldwide digital platform that brings culture, community, and commerce together. It includes an amalgamation of known and new luxury brands gauging womenswear, menswear, cubs wear, and Everything ElseTM and wasco-founded in 2003 by folk Rami, Firas, and Bassel Atallah and is located in Montreal.
Places and Faults
Give frequent leadership through consulting and coaching to a gang of world-class data scientists, advising and elevating them.
Manage and direct data scientists in the development of data-driven results in collaboration with important business stakeholders.
Identify and lead data lore drive that adds substantial business value and aligns with the department’s and SSENSE ’s strategic posture. 5. (CAN CAN) Aging Administrator, Pricing Strategy, Product& Data Science at Walmart Canada
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Locus Mississauga, ON, Canada
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About the Company Walmart Canada is one of the country’s largest employers and one of the top ten most puissant brands.
Positions and Liabilities
Simplify through robotization of pricing operations and process uniformity. Digitize routine pricing using current technology and Data Science to allow data-driven judgments.
Manage various sophisticated pricing tools and technologies, matching as JDA Pricing and a business intelligence tool.
Manage and execute hands-on UAT, specialized, and business testimonials for pricing tools and marker breakthroughs to guarantee that the best-in-class product is produced and maintained.
To deliver pricing drive, lead, and train a gang of strategy& analytics, technology, and data scientists.
To establish and sustain a request-leading position, develop Data-Science results on big data platforms, and make ongoing refinements.
Qualifications
Minimum Education Wanted Bachelor’s Degree
Smallest Whiles of Experience Wanted 6-8 Whiles
6. Senior Data Science Manager at Unity Technologies
Venue Vancouver, BC, Canada
Unity is the world’s premier real-time 3D (RT3D RT3D) content creation and control platform. Unity’s platform includes tools for creating, running, and monetizing interactive, real-time 2D and 3D content for mobile phones, tablets, PCs, consoles, and added and virtual reality affinity. Unity is used by various establishers, including game designers, painters, engineers, car developers, filmmakers, and others, to bring their daydreams to reality.
Businesses and Blames
Hire and train a data knowledge army to help Unity better understand its consumers and products.
Mentor Data Science aptitude to answer problems using an alloy of business and lore and technology knowledge.
Build Data Science answers for output with architects.
You’ll effect strategies with a compelling value proposition in collaboration with product guidance.
Qualifications
Experience loosening and making data lore crews that make a difference
Capacity to rephrase business issues into significant Data Science and architectural challenges
Understanding of how to put sophisticated machine literacy into manufacturing
Machine literacy and statistical models are both stereotypes that need to be grasped.
7. Data Science Senior Manager at Accenture
Venue Ottawa, ON, Canada
The Company Accenture is a transnational professional services interest specializing in digital, shadow, and security results. They hand strategy& consulting, interactive, technology, and operations services, all driven by the world’s biggest network of advanced technology and intelligent operations centers, with unsurpassable experience and technical capabilities across further than 40 sectors.
Tasks and liabilities
Band with prospective accounts to use data, analytics, and AI/ ML to break huge and hairy business challenges.
Develop cut-edge darkness answers for guests from a variety of functions and sectors.
Educate account companies about data, analytics, and AI/ ML, as well as their connection to their diligence and customers.
To frame and do value for customers, lead many companies and engagements.
Partake in the growth of a practice, including capability development and recruiting.
Keep up with the hindmost pall, data, analytics, AI/ ML technologies, academic probation, and hands-on approaches.
Qualifications
A master’s degree in Data Science or an allied field, parallel as Mathematics, Statistics, Computer wisdom, Economics, Engineering, or Pharmaceuticals, is boring.
To the rear and execute cross-functional hustle, develop unions and guidance with other departments ( specialized and business).
Qualifications
A master’s or doctoral degree in Data Science, Computer Science, Engineering, Mathematics, or a closely kindred subject is warranted.
A minimum of ten dates of savvy in Data Science, Predictive Analytics, and Machine Learning focuses on driving business impact is taken.
Excellent SQL and Python programming competencies, as well as GitHub experience
. Wide savvy operating quantitative systems to work valid issues
Knowledge and savvy in the field of commerce (an asset)
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