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 locationsthroughout North America, Australia, and Europe. They contribute to patientwellness by delivering customized solutions with an unwavering commitment toquality. They are also known as an innovator and leader in the pharmaceuticalindustry.

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

Tasks and Responsibilities

• Build and lead the team, drive accountability,sets performance objectives, holds regular team meetings and communicatesdirection and changes;
• Manages day-to-day operations, ensures on-timeproject completion, and quality/accuracy of team output;
• Champions data-driven decision making acrossfunctions by making analytical recommendations based on operational, financial,customer data and benchmarks;
• Uses advanced analytics techniques to improve customer/employeeexperience and end-to-end business processes, with a focus on optimization andsimulation techniques;
• Applies data science expertise in machinelearning, statistics, text-mining/NLP, forecasting and optimization to multipleprojects leveraging real world data;
• Uses data, visualization, slide-basedstorytelling, and data technologies to scope, define and deliver AI-based dataproducts, as well as communicate insights with leadership to strategicallyinfluence decisions of business operations management and create value;
• Works on full-spectrum of activities, fromconducting ML experiments to delivering production-ready models;
• Provides advanced data mining techniques toprovide fact-based analysis. Leverages agility and creativity to maximize valueand insight delivered by data analysis. Utilizes varied and complex datasources, including enterprise data lake, cloud and diverse source systems;
• Assemble and analyze data to understand customerbehavior 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 leadershipexperience;
• Minimum7 years experience in managing and analyzing data with advanced techniquesalong with recent management experience;
• Experience in analytics, operations researchtechniques such as process optimization and simulation techniques;
• Strong understanding of operations research(linear and mixed integer programming) and experience building priceoptimization models, promotional targeting, and a/b testing.
• Holds vast industry knowledge, with diverseproducts, services, policies and procedures, regulations and related regulatoryrequirements (an asset);
• Understanding of different AI models, tools andconcepts;
• Knowledge of Python, SQL, Power BI and DAX,Expertise with core data science tools and familiarity with different databasesystems (e.g., SQL);
• Experiencewith various enterprise-level Application Programming Interfaces (APIs), churn,CLV, customer segmentation and persona building;

Work conditions

• Permanent, full-time position;
• 37.5 hrs/wk with early Fridays all year long, PTO andvacation;
• 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.

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 locationsthroughout North America, Australia, and Europe. They contribute to patientwellness by delivering customized solutions with an unwavering commitment toquality. They are also known as an innovator and leader in the pharmaceuticalindustry.

Job description

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

Tasks and Responsibilities

• Build and lead the team, drive accountability,sets performance objectives, holds regular team meetings and communicatesdirection and changes;
• Manages day-to-day operations, ensures on-timeproject completion, and quality/accuracy of team output;
• Champions data-driven decision making acrossfunctions by making analytical recommendations based on operational, financial,customer data and benchmarks;
• Uses advanced analytics techniques to improve customer/employeeexperience and end-to-end business processes, with a focus on optimization andsimulation techniques;
• Applies data science expertise in machinelearning, statistics, text-mining/NLP, forecasting and optimization to multipleprojects leveraging real world data;
• Uses data, visualization, slide-basedstorytelling, and data technologies to scope, define and deliver AI-based dataproducts, as well as communicate insights with leadership to strategicallyinfluence decisions of business operations management and create value;
• Works on full-spectrum of activities, fromconducting ML experiments to delivering production-ready models;
• Provides advanced data mining techniques toprovide fact-based analysis. Leverages agility and creativity to maximize valueand insight delivered by data analysis. Utilizes varied and complex datasources, including enterprise data lake, cloud and diverse source systems;
• Assemble and analyze data to understand customerbehavior 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 leadershipexperience;
• Minimum7 years experience in managing and analyzing data with advanced techniquesalong with recent management experience;
• Experience in analytics, operations researchtechniques such as process optimization and simulation techniques;
• Strong understanding of operations research(linear and mixed integer programming) and experience building priceoptimization models, promotional targeting, and a/b testing.
• Holds vast industry knowledge, with diverseproducts, services, policies and procedures, regulations and related regulatoryrequirements (an asset);
• Understanding of different AI models, tools andconcepts;
• Knowledge of Python, SQL, Power BI and DAX,Expertise with core data science tools and familiarity with different databasesystems (e.g., SQL);
• Experiencewith 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 andvacation;
• 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. Apply

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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