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Data Scientist

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GSK

5d ago

  • Job
    Full-time
    Senior Level
  • Data
    IT & Cybersecurity
  • Mississauga

AI generated summary

  • You need a relevant degree, 6+ years experience in ML algorithms, strong analytics and communication skills, familiarity with cloud platforms, extensive Python expertise, and knowledge of AI applications.
  • You will analyze data to drive initiatives that boost ROAS and ROI, collaborate with teams for analysis plans, conduct ad-hoc marketing analyses, and present findings to stakeholders.

Requirements

  • Bachelor's degree in computer science, statistics, mathematics, engineering, or a related field, with 6+ years of indicative experience in developing product-level ML algorithms (4+ with a Masters)
  • Strong written and verbal communication skills
  • Strong knowledge of business analytics methods (e.g., regression analysis, forecasting, AB testing, customer segmentation, …).
  • Ability to translate analysis and modeling into insightful narratives is key
  • Experience in managing stakeholders and offshore teams, strong execution ability to run and manage end-to-end analytical projects and deliver meaningful insights and actionable recommendations
  • Understanding and implementing ethical AI practices
  • Strong collaboration skills to work effectively with cross-functional teams
  • Excellent problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modeling, data and text mining, NLP, machine learning algorithms on structured and unstructured data, at scale
  • Applied research experience in machine learning techniques: supervised/unsupervised, deep learning, classification, clustering, and time-series forecasting to forecast sales, customer behavior, and market trends
  • Experience with cloud platforms such as Azure, Databricks (Genie, Lakehouse IQ, Unity Catalogue). Specifically in deploying machine learning models and managing data pipelines
  • Hands on experience using Apache Spark, Python, R, SQL (Databases & language) and Data Visualization tools (PowerBI)
  • Demonstrated experience with GPT-4, image and text generation models, and OpenAI
  • Master's degree in computer science or a related field (see the fields listed above), with 4+ years of indicative experience in developing product-level ML algorithms
  • Substantial knowledge in statistics and probabilities is required
  • Ability to work independently and prioritize effectively.
  • Extensive Python coding experience exceeding 4,000 hours is preferred. Interviews will test knowledge of Python
  • Expertise in all regression modeling techniques (multi-variate and logistical)
  • Ability to stay updated with the latest advancements in AI and data science, and the ability to quickly adapt to new tools and technologies
  • Experience in applying AI to real-world problems, such as improving field-force effectiveness
  • Experience working with commercial datasets like sales reports, CRM data, customer feedback, market analysis data, or digital marketing metrics (e.g., Google Ads, social media).
  • Familiarity with key market research reports from sources like IQVIA, and Gartner plus have awareness on emerging trends like digital health, telemedicine, personalized medicine, and AI in healthcare.

Responsibilities

  • Peruse GSK’s dataframes and use the insights attained to develop actionable initiatives that have a high likelihood of increasing ROAS, ROI, market share or cash flow.
  • Collaborate and partner effectively with various stakeholders across the enterprise, including Marketing, Commercial Insight, Marketing, Medical, Regulatory, Salesi, Finance and Managed Market teams across Canada and Global teams to formulate analysis plans.
  • Conduct cross portfolio ad-hoc analyses (e.g. marketing mix, test/control, subnational trend assessment) according to US Pharma’s business needs, and in support of US enterprise workstreams.
  • Create presentations and communicate results/findings to internal stakeholders.

FAQs

What is the location of the Data Scientist position?

The position is based in our Mississauga office in Canada, with a hybrid work schedule.

What are the basic qualifications required for this role?

The basic qualifications include a Bachelor's degree in computer science, statistics, mathematics, engineering, or a related field, with 6+ years of indicative experience in developing product-level ML algorithms (4+ with a Masters), strong communication skills, and experience in business analytics methods.

Is experience with machine learning algorithms necessary for this position?

Yes, experience in developing product-level ML algorithms and applied research experience in machine learning techniques is crucial for this role.

What programming languages and tools should a candidate be proficient in for this role?

Candidates should have hands-on experience using Apache Spark, Python, R, SQL, and data visualization tools like PowerBI.

Are there any preferred qualifications for this position?

Preferred qualifications include a Master's degree in a related field, substantial knowledge in statistics and probabilities, extensive Python coding experience exceeding 4,000 hours, and expertise in regression modeling techniques.

Will the role involve collaborating with other teams?

Yes, the role requires collaboration with various stakeholders across the enterprise, including Marketing, Commercial Insight, Medical, Regulatory, Sales, Finance, and Managed Market teams.

What is the main objective of the Data Scientist's responsibilities?

The main objective is to analyze GSK’s dataframes and develop actionable initiatives that increase ROAS, ROI, market share, or cash flow.

Does GSK support diversity and inclusion in its hiring processes?

Yes, GSK is an equal opportunity employer committed to diversity and inclusion and welcomes applications from all qualified individuals.

How can candidates apply for this job?

Candidates should apply through the online application process specified in the job posting, rather than sending resumes via email.

Are there any specific experiences related to AI that are preferred for this position?

Yes, experience in applying AI to real-world problems and familiarity with advancements in AI and data science are preferred qualifications for this role.

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GSK

Science & Healthcare
Industry
10,001+
Employees

Mission & Purpose

GSK, or GlaxoSmithKline, is a company that operates in the pharmaceutical and healthcare industry. They are involved in researching, developing, manufacturing, and selling a wide range of prescription medicines, vaccines, and consumer healthcare products. GSK's ultimate aim is to improve the quality of human life by providing innovative and effective healthcare solutions to people worldwide. Their commitment lies in focusing on scientific excellence, developing cutting-edge medicines and vaccines, and addressing global health challenges to help people live longer, healthier lives.

Benefits

  • A competitive base salary

  • An annual bonus based on company performance

  • Access to healthcare and wellbeing programmes, pension plan membership, savings programmes, time off and childcare support

  • Employee recognition programmes that reward exceptional achievements