Associate Data Scientist

About The Role

This is a unique opportunity to join our fast-growing Data Science team. In the role of Associate Data Scientist in Client Retention Analytics team, you will execute large scale, high impact data modeling projects with responsibility for designing, developing, validating, socializing, operationalizing, and maintaining data-driven analytics that provide business insights to increase operational efficiency and customer value. This person will have a flair of innovation along with a strong exposure to Classical ML, Python, NLP, statistical principles and their application in modeling.

What You Will Do

• Provide ad hoc modeling and analytical insights to inform strategic and operational initiatives
• Conduct all phases of the analytics process. Including: Understanding business issues, proposing technical solutions, data wrangling, data cleaning, data analysis, feature engineering, model selection, model development, model validation, model operationalization, presentation of results and insights, model implementation, model documentation
• Convert “top-down” business initiative requirements into actionable data analytics projects as well as conceiving and proposing “bottom-up” analytics innovations
• Communicate technical solutions and results to business stakeholders
• Partner with business stakeholders, IT, Project Management and lead the design and delivery of innovative analytics solutions
• Inject the most applicable technology, including Machine Learning, Artificial Intelligence, Natural Language Processing and Statistical Modeling
  
  

What You Will Need

• 0-3 years data modeling experience in a business environment. Candidate with only internship experience is required to have Masters’ in Data Science/AI/ML. Candidates with 1-3 years of Data Science experience with Bachelor’s degree or Master’s degree in Statistics, Data Science, Computer Science or related field
• In-depth knowledge of statistical principles and their application in modeling and data analysis
• Experience developing and applying descriptive, predictive, prescriptive models
• In-depth NLP knowledge and application experience
• Expertise in Python, SQL, Spark. Basic skills in PBI, Excel, Power Point
• Experience with multiple modeling techniques such as: Time Series, Random Forests, Clustering, Neural Networks, Generalized Linear Models, Optimization, DOE, Dimensionality Reduction
• Experience with churn analysis, profiling, recommendation systems
• MLOps experience (implementing models/algorithms into production systems)
• Ability to work in a fast-paced environment and deliver against milestones
• Excellent communication skills in technical and business domains
• Proven ability to influence key stakeholders and leaders
  
  

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 21,000 associates globally who support ~14,000 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 seek to advance the principles of equal employment opportunity.

Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com .

Job Requisition ID:101739

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