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Data Scientist

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IBM

Today

  • Job
    Full-time
    Senior Level
  • Data
    Research & Development
  • Bangalore

AI generated summary

  • You need 7+ years in marketing analytics, advanced SQL/Python skills, critical thinking, strong communication, business acumen, and a master’s degree is a plus. Experience in customer and digital marketing analytics is ideal.
  • You will analyze data, drive marketing insights, optimize campaigns, evaluate customer engagement, develop measurement systems, and communicate findings to improve marketing effectiveness.

Requirements

  • 7+ years relevant analytics work experience in marketing analytics, including experience in a data-driven technology business or company with a sophisticated data stack
  • Technically skilled to perform complex data querying and work with complex data models using Advanced SQL/Python or other query and programming tools to process and analyze data
  • Demonstrates a strong ability to analyze and manipulate marketing data and work on complex data flows across systems
  • Thought leadership in working on functional objectives and shaping an analytical solution
  • Ability to perform root-cause analysis with limited supervision
  • Deep critical thinking skills and curiosity to pursue open-ended problems via data
  • Strong presentation skills and ability to effectively communicate complicated analyses to non-technical employees and leadership
  • Business acumen with the ability to develop data-driven business recommendations
  • Demonstrated ability to multitask with minimum supervision and prioritize with a proven ability to meet tight deadlines
  • Master’s degree in Mathematics / Statistics / Economics / Applied Statistics / Applied Mathematics / Computer Programming / Analytics / Data Science is a strong plus.
  • Relevant work experience in customer analytics, digital marketing analytics and web analytics is a plus.
  • Hands-on experience in build, deploy and automation of complex data flows involving sequential loops, multiple merge, data imputation, normalizing data is a strong plus

Responsibilities

  • Data powers the insights companies use to transform the way they work. Do you enjoy analyzing data to push marketers to take actions that improve their performance? Do you have proven experience finding actionable insights in large data sets that lead to measurable business results?
  • The Performance Analytics team directly impacts the direction of the marketing organization and all of IBM. We provide insights that drive both strategic and tactical outcomes for the company and directly guide marketing execution.
  • As a Data Scientist, you will work with business stakeholders, engineers, marketing and sales teams to use analytical insights to develop strategies for end-to-end campaign implementation and execution.
  • You will get exposure to all aspects of marketing, from early-stage audience targeting via paid media investment, to capturing demand through our web presence, to response to lead management and sales analytics.
  • In this role, you will have the opportunity to focus on synthesizing and applying analytic insights during the execution phase to improve performance for a particular business area, project or trial.
  • Perform complex quantitative analyses to evaluate customer engagement and the impact of marketing activities on-demand generation, including pipeline, revenue, content engagement, media spend optimization, routing, channel performance, lead conversion, pipeline yield and ROI, and other key strategic levers.
  • Utilize proprietary and external data to analyze IBM’s target audience segmentation and create recommendations for improving the user experience at all stages of the journey and identifying the right audience for targeting.
  • Measure performance and establish new measurement systems to detect performance shifts and increase marketing effectiveness.
  • Develop and lead execution of analytics projects for business use cases aligned to business strategies.
  • Design and present data-driven optimization recommendations via dashboards, reports, and analyses.
  • Communicate insights to team members, other marketing groups, and IBM leadership.
  • We maintain a responsible consideration of health and safety practices and ongoing support for a hybrid office, in-office/remote office balance.

FAQs

What is the role of a Data Scientist at IBM?

The Data Scientist at IBM will analyze data to help transform it into tangible business value, collaborating with stakeholders to develop strategies for marketing execution and campaign implementation.

What qualifications are required for this position?

Candidates should have at least 7 years of relevant analytics work experience in marketing analytics, proficiency in Advanced SQL/Python for data analysis, and strong critical thinking and communication skills.

What is the nature of the projects Data Scientists will be working on?

Data Scientists will perform complex quantitative analyses to evaluate customer engagement, marketing activities, and provide actionable insights to improve marketing performance.

Is a graduate degree preferred for this role?

Yes, a Master’s degree in Mathematics, Statistics, Economics, Data Science, or related fields is considered a strong plus for applicants.

Are there any specific technical skills required for this position?

Candidates are expected to be technically skilled in complex data querying, working with advanced data models, and should show proficiency in programming tools to process and analyze data.

What kind of analytical insights will be focused on?

The Data Scientist will focus on synthesizing and applying analytic insights to enhance performance for specific business areas, analyzing metrics like pipeline, revenue, and ROI.

Is there any requirement regarding COVID-19 vaccination for this position?

Yes, candidates are required to be fully COVID-19 vaccinated prior to their start date, and proof of vaccination status will be required.

How is the working environment at IBM described?

IBM offers a hybrid working environment, blending in-office and remote work, with a focus on continuous support for employees' health and safety practices.

Do we encourage diversity and equal opportunity in hiring?

Yes, IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer, considering all qualified applicants without regard to various personal characteristics.

What types of data will the Data Scientist work with?

The Data Scientist will utilize both proprietary and external data to analyze target audience segmentation and improve the user experience throughout their journey.

IBM

Technology
Industry
10,001+
Employees
1911
Founded Year

Mission & Purpose

At IBM, we do more than work. We create. We create as technologists, developers, and engineers. We create with our partners. We create with our competitors. If you're searching for ways to make the world work better through technology and infrastructure, software and consulting, then we want to work with you. We're here to help every creator turn their "what if" into what is. Let's create something that will change everything