OVERVIEW
We are actively seeking an ambitious, experienced, and highly driven Data Scientist (Applied Statistics) to assist in the acceleration of our scientific work. As a key member of our Research and Development team, the Data Scientist (Applied Statistics) will work closely with our scientists and engineers to design experiments and deploy findings, analyses, and models into production for scientific use. If you are someone who has a background in statistics as well as experience in experimental design, then we want to hear from you!
YOUR MISSION
To collaborate with scientists for the purpose of experimental design, performing statistical analysis and modeling, and communicating findings to the scientists to produce data-driven results and insights. To research and implement new methodologies to accelerate Terramera's bioscience research.
ACCOUNTABILITIES
· Collaborate with scientists to design and execute experiments for biological studies in a lab setting, in growth chambers, and in the field;
· Define experiment goals, identify factors and responses, choose appropriate study designs and calculate necessary sample sizes;
· Perform data validation, statistical analysis, and modelling to analyze data collected from the biological studies;
· Prepare written and oral presentations that summarize data analysis results, interpret findings and provide recommendations;
· Implement analytical/statistical strategies and research new methodologies in consultation with other experts;
· Develop computational models for predictive analytics and prescriptive analytics; and
· Collaborate with Software and Machine Learning Engineers to deploy your models into production.
REQUIREMENTS
· PhD. or MSc in Statistics, Biostatistics or related fields;
· Strong understanding of fundamental statistical concepts and methods;
· 2+ years' practical experience in experiment design, including power analysis, block design, factorial design, longitudinal design, and statistical analysis;
· Experience with statistical learning / machine learning techniques and frameworks
PREFERENCES
· Accreditation in Statistics/Analytics;
· Experience with Python or R programming;
· Familiarity with agriculture field research, plant physiology and phenotyping;
· Good understanding of regulatory guidelines and requirements in agriculture field research;
· Familiarity with open-source biostatistics libraries and software; and
· Knowledge of the Agile project management methodology.
QUALITIES WE'RE LOOKING FOR
· Aptitude for interdisciplinary collaboration;
· Highly conscientious with strong follow-through;
· Strong communication and critical thinking ability to influence and propose analytics strategies that challenge status quo thinking;
· Capable of performing research on best practices and communicating findings to a non-expert audience; and
· Able to apply domain knowledge to ambiguous and novel situations.
LOCATION
· Vancouver, BC
WHO WE ARE
Terramera is a cleantech leader focused on fusing AI, science and nature to create revolutionary technologies that transform how we grow food and solve other world-scale challenges. With its Actigateâ„¢ Targeted Performance technology and mission to unlock the intelligence in nature to ensure a world that thrives and provides for everyone, Terramera is committed to reducing global synthetic chemical loads in agriculture by 80%, increasing global farm productivity by 20%, and increasing soil organic carbon by 100% by 2030. The privately held company was founded in 2010 and has grown to include a world-class bench of engineers, scientists, advisors and investors. Terramera is headquartered in Vancouver, British Columbia, Canada, has integrated operations that include a research lab, greenhouse and farm, and has more than 250+ patents in its IP portfolio.
Our success begins with our people. We're looking for A-Players who are as passionate about making a difference as we are and thrive in environments that are dynamic, challenging and rewarding. Join our movement, as we set a new standard and change the world together as a highly dedicated, innovative, future-focused and solutions-oriented team.
Terramera is committed to a diverse workforce and we are an equal opportunity employer.
APPLICATION DEADLINE
· Applications will be accepted and reviewed on a rolling basis
9 days ago
Your goal will be to bring data to bear on the decisions that shape Dapper Labs current and future products. All aspects of the data will be part of your responsibility, from carefully following each feature to optimize its effectiveness to summarizing the big picture for investors and other essential stakeholders. Through a thorough and clear application of modern data science and statistical techniques, your work product will shape the cutting-edge games launched by Dapper Labs.
The ideal candidate has:
- A background in math, statistics or computer science. Substantial experience working with online games and their customers. A passion for blockchain technology, open-source and open state software development. Deep knowledge of online games and their metrics is a big plus.
If you are looking to level up your skillset working in a nimble, bleeding-edge technology area while helping shape the future of decentralization, this job is for you!
What we’ll accomplish together:
- Work with the NBA Top Shot team to analyze large amounts of behavioural data with the goal of generating deep understandings of the patterns of activity that lead to user retention and monetization.
- Generate predictive models that can be used to communicate effectively to segments of the user population through merchandising opportunities
- Consistently consume and produce massive amounts of data while optimizing for accuracy, quality and speed
- Research and develop how advanced data science techniques and machine learning can enable and empower our game and feature development
- Make use of the open nature of the blockchain to develop rich user profiles that extend beyond the limits of a single product
- Discover and describe networks of users to find patterns that improve product growth through effective virality
- Provide effective feedback to the game economy team to improve live operations and build a robust, long-lasting game
A little about you:
- You have previous experience working in a data role with online games
- You live and breathe KPIs
- You are capable of applying your skills broadly across a wide variety of situations to solve any type of quantitative problem that arises
- You have a masters' degree in a quantitate field (Mathematics, Computer Science or similar)
- You have 3+ years of working experience in data centred role
- Strong knowledge of R and SQL
- No fear of engagement with new tools is a must. Familiarity with Excel, Tableau or Mixpanel a benefit
- You are naturally curious and passionate about game design and live operations
- A passion for basketball or sportscard collecting is a bonus
- You enjoy tackling loosely defined problems and thrive when given autonomy
Dapper Labs is the world's first blockchain entertainment company. We are the creators of industry-leading experiences including CryptoKitties and NBA Top Shot, as well as Dapper Wallet, the simplest way to manage your assets and use the blockchain. We are also the original developers behind Flow, a new decentralized blockchain designed from the ground up for scalability and ease of use.
Our mission at Dapper Labs is to make the world a more open, empowering, and enjoyable place through consumer adoption of decentralized technologies. We have raised over $350M from leading VCs including Fred Wilson (USV) and Chris Dixon as well as Venrock, Samsung, Google Ventures, Coatue, NBA players, and global artists, among others. Dapper Labs partners include the NBA and NBPA, the NFL-PA, Ubisoft, Warner Music, Turner, Dr. Seuss, Genies, and the UFC, as well as 100+ others.
Visit our website to learn even more about Dapper Labs, including information about benefits and perks.
Northland Properties is recognized throughout Canada as one of the most trusted names in hotels, restaurants, sports, and construction. We are the force behind such brands as Sandman Hotel Group, The Sutton Place Hotels, Moxie's Grill & Bar, Chop Steakhouse & Bar, Denny's Restaurants, The Dallas Stars, and Northland Asset Management Company. Proud to be 100% Canadian-owned and operated, with over 150 outlets nationwide, we have home offices in both Vancouver and Calgary and employ over 10,000 talented individuals across the nation.
Business Challenge
As Northland continues to rapidly expand their business across Canada the US and UK, the company is investing in cutting edge technology to build a more customized and localized experience for their target markets. Technology and Marketing teams are spearheading initiatives such as a new eCommerce platform, Data Lake, CRM & ERP along with other future focused Hotel and Restaurant technologies.
Opportunity
Northland is looking for a Data Scientist to extract meaning and interpret data utilizing statistical and machine learning methods as well as simply understanding the business as a human. To do well in this role you need to be able to find patterns, build models and algorithms, and have a deep understanding of the popular data analysis tools and databases. You'll be assisting other resources within the Data Delivery team to collect, clean, and troubleshoot data issues. Creating data visualizations and reports that clearly and easily communicate data discoveries will be key in this role. Northland's vast business footprint and limited historical data analysis provides ample opportunity for the right individual to make a huge impact to the business.
This position is based in Vancouver, Canada, and will work under the IT department but will liaise with all other departments to assess, refine, and identify technical solutions that will deliver positive results for the business. This position will be reporting to the Director, Project Delivery.
Responsibilities:
- Managing the creation, update, extension, and deletion of the master data sets for all the business units.
- Implement transformative rulesets and data cleansing techniques to improve the quality, accuracy, uniformity, and integrity of existing data
- Devising and applying models and algorithms to mine the stores of big data
- Analyzing data to identify patterns and trends and convert that into solutions and opportunities
- Processing confidential data and information according to data governance guidelines.
- Works closely with other data consumers within the business to gather and populate data warehouse table structure
- Managing, designing, and developing reports and the reporting environment, including data sources, security, and metadata.
- Assist the Data Engineers with creation ETL processes and data identification and support
- Providing technical expertise in data storage structures, data mining, and data cleansing
- Provide guidance and best practice for data visualization and report generation specifically with visual data modelling tools such as Power BI
- Provide documentation and training to end-users on new reports and dashboards.
Skills & Qualifications:
- Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems or related field, or equivalent work experience
- Minimum 3 years' experience in the field of Data Science and/or Data Analysis
- Strong capabilities around dimensional modelling, data mining and data visualization preferably with tools such as Power BI
- Expert ability to draft, analyse and debug SQL queries and be proficient in scripting languages such as Java, Python, C Sharp, Perl, and others.
- Creative thinker with excellent analytical thinking and problem-solving skills
- Attention to detail and accuracy with strong analytical skills
- Able to multi-task and prioritize workload
- Deep passion for data analytic technologies as well as analytical and dimensional modeling.
- Strong communication skills with the ability to present information to technical and non-technical stakeholders
- Experience with Google Big Query or Snowflake an asset
- Experience in hospitality and/or travel industry preferred
SUMMATION:
Submission of resume does not guarantee an interview or an actual transfer. Qualified applicants are encouraged to apply, provided they meet the minimal requirements of the applicable skills required.
You must be legally entitled to work in Canada to apply as the employer does not have a Labour Market Impact Assessment (LMIA) that would support a foreign worker.
**Applications will not be accepted via email or in person.
**We thank all applicants for their interest in Career opportunities, however, only those applicants we wish to interview will receive a reply to their application.**
**ABSOLUTELY NO PHONE CALLS PLEASE**
Your Opportunity:
Data Scientist, People Analytics.
Description:
As our People Analytics Data Scientist, you will hold a highly influential role that works to build analytics capacity, capability, and culture within AHS. Your mandate will be to research, develop and implement processes and tools that support our team of evidence-based, story telling analysts. In support of your mandate you will conduct advanced workforce analysis including forecasting, predictive modeling (machine learning), advanced visualization and optimization. You will rely on in-depth knowledge of industry to perform a range of statistical analyses to support advanced workforce analytics within AHS. You are experienced in making strategic recommendations to senior leaders by presenting detailed plans, complex analyses, broad & ambiguous information and findings in business and user-friendly language. You collaborate with partners and stakeholders to understand people-related business issues and opportunities. Your role includes being extracting insights from structured and unstructured data, data mining, pattern recognition, data modeling and various statistical methods. You are curious to find how the workforce story interacts with other aspects of healthcare delivery. You will be solving a wide variety of complex problems that requires rigorous analysis, research writing, technical reporting and deep thinking. You enjoy finding the “fascinating” nuggets in a sea of data that might otherwise be overlooked. Asking questions or developing hypotheses that can be researched/supported in partnership with the People Analytics function is second nature to you.
- Classification: Data Scientist
- Union: Exempt
- Department: (CORP)WORKFORCE ANALYTICS
- Primary Location: Seventh Street Plaza
- Negotiable Location: Provincial
- Employee Class: Regular Full Time
- FTE: 1.00
- Posting End Date: 17-AUG-2021
- Date Available: 07-SEP-2021
- Hours per Shift: 7.75
- Length of Shift in weeks: 2
- Shifts per cycle: 10
- Shift Pattern: Days
- Days Off: Saturday/Sunday
- Minimum Salary: $34.52
- Maximum Salary: $59.20
- Vehicle Requirement: Not Applicable
Bachelor’s or Master’s degree in Computer Science, Statistics, Economics, Business, Public Administration, Public Health or related discipline. 5 years’ experience in analytics, evaluation, quality improvement or human resources, in an organization of significant size, complexity and diversity. Significant experience working with a variety of programming languages, including SAS, R and Python. Excellent communication and critical analysis skills.
Additional Required Qualifications:
As Required.
Preferred Qualifications:
Business Management experience is a definite asset.
We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.
At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.
To learn more about CIBC, please visit CIBC.com
Job Description
What You’ll Be Doing
The Data & Analytics team is a hub of data science expertise within CIBC, and is leading the way in applying the best practices in predictive science, machine learning, leveraging massive datasets and the latest in big data technology platforms. As a Senior Data Scientist in Advanced Analytics, you will work with business and technology partners to deliver solutions that meet their analytical needs and help serve our clients.
You will work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment. We collaborate with industry partners in the space of AI and machine learning, and engage with leading academic researchers to promote the exchange of ideas and enrich our talent.
How You’ll Succeed
- Data Science Expertise: You will utilize your knowledge in statistics, machine learning and/or optimization to frame business problems in a data science context. You will build data products by writing code that is modular, reliable, maintainable & replicable.
- Consulting Mindset: You will communicate complex concepts in simple and elegant ways. You will work closely with our business partners to understand their challenges by asking the right questions to gather information. You will put in the effort to understand the business problem and to answer any questions and concerns brought up by our partners.
- Team Player: You will collaborate with data experts to learn about the data and engineer relevant features. You will effectively collaborate with other data scientists and engineers to learn about the data, engineer features and work together to build data products.
Who You Are
- You have an a dvanced degree in a scientific or quantitative field
- You have minimum of 3 year experience in industry or research
- You enjoy the challenge of leading engagements and coaching junior team members
- You embrace change and advance our capability through continuous learning, sharing of knowledge with colleagues and partners, and encouraging constant improvement in how we do our work.
- You have strong communication skills and an ability to present complex concepts clearly.
- You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it's the right thing to do.
- You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
- Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
- You have extensive knowledge of:
- Programming in Python
- Data science libraries (Pandas, scikit-learn, XGBoost, Dask, Matplotlib, Seaborn)
- Writing queries in SQL and working with data warehouses
- ML/AI Frameworks (Tensorflow, Pytorch)
- Knowledge of NLP and associated toolkits (nltk, spaCy)
- Software development and testing
- Also beneficial:
- Knowledge of data visualization tools such as Tableau
- Understanding of Docker and Kubernetes
- Exposure to big data frameworks (PySpark, SparkML)
- Exposure Microsoft Azure cloud platform
What CIBC Offers
At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:
- Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
- Connect : Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
- Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning and comprehensive product training
- Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
What You Need to Know
- CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com
- You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Job Location
Toronto-CC North 26th Floor
Employment Type
Regular
Weekly Hours
37.5
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