Engineer III Specialist-Data Science

Posted:
3/11/2025, 5:00:00 PM

Location(s):
Hyderabad, Telangana, India ⋅ Telangana, India ⋅ Chennai, Tamil Nadu, India ⋅ Tamil Nadu, India

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
Data & Analytics

Workplace Type:
Hybrid

When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the V Team Life.

What you’ll be doing

The Verizon’s Artificial Intelligence and Data organization is seeking an Engr III Spec-Data Science. You will be responsible for delivering insights for driving business growth through data-driven decision-making from identifying the right data, conducting research and analyses to gather data and deciphering large data. 

You will work with large complex data and bring reliable and scalable real-time insights. You will apply advanced state-of-the-art end-to-end analysis techniques and algorithms to provide a best-in-class customer experience.

  • Delivering data analysis projects, including data wrangling, analysis, and visualization.

  • Collaborating with stakeholders to understand business needs and develop data-driven solutions.

  • Applying critical thinking and analytical thinking to complex data problems.

  • Using data visualization tools to craft compelling narratives from data.

  • Working effectively in a matrix organization, influencing and partnering with cross-functional teams.

  • Conducting market research to identify industry trends and emerging technologies.

  • Applying market research insights to drive business growth and inform data-driven decision-making.

  • Delivering engaging presentations to stakeholders.

  • Staying up-to-date with market research and trends.

What we’re looking for...

You have strong analytical skills and are eager to collaborate with global teams to develop end-to-end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and can interact with various partners and cross-functional teams to implement data science-driven business solutions.

You'll need to have:

  • Bachelor's degree or four or more years of work experience.

  • Four or more years of relevant work experience.

  • Experience in data analysis, consulting, or related field.

  • Experience with various data analysis and visualization tools (e.g., Excel, Tableau,Lookr, Alteryx) and data technologies (e.g. Python, Relational databases, Data warehouses)

  • Excellent SQL and Big Query knowledge and experience working with large and complex data.

  • Experience working in a fast-paced environment and adapt to changing priorities

  • Strong people skills, with experience collaborating with stakeholders and team members

  • Consulting background, with experience developing and implementing business strategies

  • Excellent communication skills, with the ability to craft compelling narratives from data

  • Experience with secondary market research and industry trends

Even better if you have one or more of the following:

  • Certification in data analytics (e.g., Certified Data Analyst).

  • Certification in  data visualization tools (e.g., Tableau, Power BI).

Where you’ll be working

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

Scheduled Weekly Hours

40

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.