Data Science Manager

Company name: Thorens Solutions – Headhunters
  • Activity area : Food / Pharmaceutical

  • Salary : Salary between $135,000 and $155,000

  • Job type : Permanent - Full time

  • City : Montreal

Company description


Our client is a global corporation with locations throughout North America, Australia, and Europe. They contribute to patient wellness by delivering customized solutions with an unwavering commitment to quality. They are also known as an innovator and leader in the pharmaceutical industry.

Job description


As the Data Science Manager, you will report to the IT Director and play a key role in creating and executing strategies based on data driven analysis. You will manage, build and mentor a team of skilled data professionals, who must adapt quickly to a changing, competitive, and fast-paced industry. You will also have knowledge and experience of the latest AI concepts and capabilities, participating in our new data initiatives.

Tasks and Responsibilities


  • Build and lead the team, drive accountability, sets performance objectives, holds regular team meetings and communicates direction and changes;
  • Manages day-to-day operations, ensures on-time project completion, and quality/accuracy of team output;
  • Champions data-driven decision making across functions by making analytical recommendations based on operational, financial, customer data and benchmarks;
  • Uses advanced analytics techniques to improve customer/employee experience and end-to-end business processes, with a focus on optimization and simulation techniques;
  • Applies data science expertise in machine learning, statistics, text-mining/NLP, forecasting and optimization to multiple projects leveraging real world data;
  • Uses data, visualization, slide-based storytelling, and data technologies to scope, define and deliver AI-based data products, as well as communicate insights with leadership to strategically influence decisions of business operations management and create value;
  • Works on full-spectrum of activities, from conducting ML experiments to delivering production-ready models;
  • Provides advanced data mining techniques to provide fact-based analysis. Leverages agility and creativity to maximize value and insight delivered by data analysis. Utilizes varied and complex data sources, including enterprise data lake, cloud and diverse source systems;
  • Assemble and analyze data to understand customer behavior from existing data, external data sources and emerging sources.

Qualifications

  • Postgraduate degree in analytics, data science, engineering, statistics, mathematics or related fields;
  • Recent relevant team building and leadership experience;
  • Minimum 7 years experience in managing and analyzing data with advanced techniques along with recent management experience;
  • Experience in analytics, operations research techniques such as process optimization and simulation techniques;
  • Strong understanding of operations research (linear and mixed integer programming) and experience building price optimization models, promotional targeting, and a/b testing.
  • Holds vast industry knowledge, with diverse products, services, policies and procedures, regulations and related regulatory requirements (an asset);
  • Understanding of different AI models, tools and concepts;
  • Knowledge of Python, SQL, Power BI and DAX, Expertise with core data science tools and familiarity with different database systems (e.g., SQL);
  • Experience with various enterprise-level Application Programming Interfaces (APIs), churn, CLV, customer segmentation and persona building;
  • Excellent English oral & written skills / Fluent in French.

Work conditions


  • Permanent, full-time position;
  • 37.5 hrs/wk with early Fridays all year long, PTO and vacation;
  • Hybrid work schedule;
  • Home office reimbursement program;
  • RRSP and competitive insurance plan;
  • Employee wellness program offered;
  • Employee referral program;
  • Free parking/accessible by public transportation;
  • Company events throughout the year;
  • Opportunity to work in a fast-growing, innovative company in the healthcare industry.
Note : The masculine is used to lighten the text without prejudice to the feminine form.

Your recruiter

Headhunter

Being an empathetic person and a good listener, I've always enjoyed supporting people on their professional journey. And as a headhunter, I have the chance to help professionals grow in their careers.

Everyone is different, and your career path is important to me. So I'd be delighted to listen carefully to your life experience.

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