Are you a highly skilled and experienced Data Scientist looking for a challenging and rewarding opportunity? Look no further! We are seeking exceptional individuals like you to join our team as Data Scientists and Senior Data Scientists. If you have a passion for data modeling, advanced NLP & ML knowledge, and possess exceptional descriptive, predictive, and prescriptive data modeling abilities, then this is the perfect role for you!

At Gartner, we are at the forefront of leveraging data analytics to drive strategic decision making. As a Data Scientist, you will play a crucial role in developing cutting-edge data models and providing valuable insights to support our business objectives. Your expertise in mathematical skills, advanced NLP & ML knowledge, and data modeling will be instrumental in transforming complex data into actionable solutions.

What you’ll do:

• Collaborate with cross-functional teams to understand business requirements and develop innovative data models.

• Apply advanced statistical techniques, machine learning algorithms, and natural language processing to extract insights from large and complex datasets.

• Develop and implement predictive and prescriptive models to support strategic decision making.

• Utilize Python, SQL, and Spark to manipulate and analyze data efficiently.

• Create visually compelling reports and presentations using tools such as Power BI, Excel, and PowerPoint.

• Stay up-to-date with the latest advancements in data science and contribute to the continuous improvement of our analytical capabilities.

What you’ll need:

• Master's degree in a relevant field (e.g., Computer Science, Mathematics, Statistics, Information Systems, Data Analytics) with 2-5 years of equivalent work experience.

• Minimum of 2 years of data modeling experience in a business environment is required.

• Exceptionally strong mathematical skills, with a deep understanding of statistical analysis and modeling techniques.

• Advanced knowledge of natural language processing (NLP) and machine learning (ML) algorithms.

• Proven experience in developing descriptive, predictive, and prescriptive data models.

• Proficiency in programming languages such as Python and SQL.

• Familiarity with Spark for big data processing and analysis.

• Experience with data visualization tools such as Power BI, Excel, and PowerPoint.

• Excellent communication skills, with the ability to effectively present complex data findings to technical and non-technical stakeholders.

• Strong problem-solving skills and the ability to think critically and analytically.

What you’ll receive:

• Competitive compensation.

• Limitless growth and learning opportunities.

• A collaborative and positive culture - join a diverse team of professionals that are as smart and driven as you.

• A chance to make an impact – your work will contribute directly to our strategy.

• A hybrid work environment—enjoy the flexibility of working from home and the energy of collaborating with peers in our dynamic offices.

• 20+ PTO days plus holidays and floating holidays in your first year.

• Extensive medical, dental insurance and vision plan.

• 401K with corporate match, immediate vesting.

• Health-and-wellness-related allowance programs.

• Parental leave.

• Tuition reimbursement.

• Employee Stock Purchase Plan.

• Employee Assistance Program.

• And much more!

  What we are:

• Action Oriented - You have what it takes to deliver measurable results, fast. We encourage and guide the vision, roadmap to success and the action it takes to make it happen.

• Intellectually Curious - You love learning and are excited by the potential teaching opportunities within your role. You bring respectful, radical candor to your work, with a mindset of desiring ongoing professional and personal development.

• Collaborative - You believe in the one team, shared mission philosophy. You are open to giving and receiving feedback and understand the value of working together to accomplish more than could be accomplished alone.
  
  #LI-Hybrid
  #LI-MR3

Who are we? 

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we’ve grown to more than 20,000 associates globally who support ~15,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work? 

Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.

What do we offer? 

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. 

In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Ready to grow your career with Gartner? Join us.

The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity.

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