Position:
- Associate Data Scientist
Company:
- Gartner, Inc.
Location:
- Gurgaon, Haryana, India
Job Type:
- Full-time
Job Mode:
- Hybrid (combining on-site and remote work)
Job Requisition ID:
- 89995
Years of Experience:
- Freshers with relevant degrees and project experience are encouraged to apply.
- 1-3 years of hands-on experience in AI/ML, particularly focusing on text mining and natural language processing (NLP).
Company Description:
- Global Leader: Gartner, Inc. (NYSE) is a globally renowned research and advisory company that helps business leaders make informed decisions through expert analysis.
- Founded: Since 1979, Gartner has been at the forefront of providing actionable insights to over 15,000 enterprises across 90+ countries.
- Diverse Work Environment: The company prides itself on inclusivity, bringing together people from various geographies, ethnicities, races, genders, and more to form cohesive teams.
- Size: With more than 20,000 associates worldwide, Gartner is a large organization with a well-established presence.
- Culture: It fosters a collaborative work culture, offering a rich, team-oriented environment that focuses on driving results for clients.
- Mission: The company strives to provide objective insights that help enterprise leaders achieve their mission-critical priorities, supporting continuous professional and personal growth for their employees.
Profile Overview:
- Role Focus: As an Associate Data Scientist, you will be part of the Interaction Insights team, using advanced data science techniques, NLP, machine learning, and deep learning to extract actionable insights from client interactions and internal/external data sources.
- Core Skills: The role requires proficiency in Python, NLP, and data science frameworks, with experience in handling unstructured data to uncover patterns and generate insights.
- Key Responsibilities: You will manage large-scale data science projects, develop data-driven solutions for business challenges, and collaborate with stakeholders to refine findings and insights.
- Work Environment: This position is fast-paced, requiring a high level of adaptability, quick turnaround times, and a strong focus on innovation.
- Tools: Proficiency in Python, TensorFlow, SQL, AWS/Azure, GitHub/Bitbucket, and data visualization tools like Power BI and Excel are essential for this role.
Qualifications:
- Education:
- A Master’s degree in Engineering, Computer Science, Statistics, Mathematics, Applied Mathematics, or a related field with a focus on AI, data science, or NLP.
- Bachelor’s degree in Engineering (BE/BTech) or an MBA with a specialization in Data Science may also be considered with relevant experience.
- Technical Skills:
- Proficiency in Python and associated libraries (e.g., Pandas, Numpy, scikit-learn).
- Experience with machine learning and deep learning models, particularly in NLP and LLMs.
- Familiarity with cloud environments like AWS and Azure for model deployment and training.
- Hands-on knowledge of tools like GitHub/Bitbucket for code management.
- Soft Skills:
- Strong analytical and problem-solving skills, particularly in analyzing unstructured data and drawing useful insights.
- Critical thinking with the ability to interpret and align data findings with business objectives.
- Excellent communication skills, capable of interacting with both technical and non-technical stakeholders.
- A learning-oriented mindset, keeping up with the latest advancements in AI and data science.
Additional Info:
- Responsibilities:
- Data Science Projects: Lead large-scale projects, applying machine learning (ML) and natural language processing (NLP) techniques to address business problems.
- Data Analysis: Focus on analyzing unstructured text data, identifying patterns, and making data-driven recommendations.
- Innovation: Actively engage in developing creative methods to visualize and interpret data for research.
- Stakeholder Interaction: Collaborate with both internal and external stakeholders to refine data findings and continuously improve data mining techniques.
- Work Environment: Operate in a fast-paced, deadline-driven setting, adhering to strict service level agreements (SLAs) and quick turnaround times.
- Skills:
- Text Analytics & NLP: Use state-of-the-art NLP and machine learning techniques to analyze and draw insights from text data.
- Visualization: Proficiency in presenting complex data insights in a way that is easily understandable and useful for business decisions.
- Teamwork: Work closely with various departments and stakeholders in a collaborative environment.
- Problem Solving: Focus on solving the most pressing business challenges by applying data science and ML methodologies.
- Training: Ability to fine-tune or apply ML models to various business cases, particularly those involving NLP, supervised and unsupervised learning, and deep learning.
- Cloud Platforms: In-depth experience with cloud environments like AWS and Azure to train, test, and deploy models efficiently.
- GitHub/Bitbucket: Proven experience in code and repository management.
What We Offer:
- Compensation & Benefits:
- Competitive Salary: Gartner offers a competitive salary package tailored to the position and experience level.
- Paid Time Off: Generous vacation and leave policies.
- Health & Wellness: Group medical insurance and access to the Employee Assistance Program (EAP).
- Retirement Plans: Contributions to the Employee Provident Fund (EPF).
- Parental Leave: Comprehensive parental leave policies supporting work-life balance.
- Charity Match Program: Gartner encourages community involvement with a charity match initiative.
- Culture:
- Collaborative Environment: Gartner embraces a team-oriented work culture, fostering collaboration across departments and regions.
- Diversity & Inclusion: Committed to fostering a diverse work environment with a focus on equity and inclusion.
- Professional Growth: Ample opportunities for career growth and professional development, with world-class training and mentoring programs.
Who We Are:
- Mission: Gartner helps leaders navigate their most critical business decisions by offering objective insights, research, and tools for informed decision-making.
- Global Reach: With over 20,000 employees worldwide, Gartner serves thousands of enterprise clients across 90+ countries.
- Commitment to Excellence: The company prides itself on its high standards, hiring individuals with intellectual curiosity and drive, offering opportunities for impactful work.
- Recognized as a Top Employer: Gartner has received consistent recognition as a top employer globally, known for fostering professional growth and diversity.
What Makes Gartner a Great Place to Work:
- Unparalleled Growth Opportunities: The company offers limitless professional growth and advancement opportunities, driven by market potential and internal development.
- Inclusive Teams: Gartner values diversity and inclusion, employing individuals from different backgrounds, abilities, and experiences to foster innovation.
- Supportive Leadership: Leaders at Gartner invest in employees, driving the success of the individual and the company.
- Flexible Work Environment: In a hybrid setting, employees can work remotely or in the office, promoting a healthy work-life balance and enabling personal growth.
Equal Opportunity Statement:
- Commitment to Diversity: Gartner is committed to providing equal employment opportunities, regardless of race, color, religion, sex, gender identity, sexual orientation, marital status, age, national origin, disability, or veteran status.
- Accessibility: The company ensures that individuals with disabilities are supported, providing reasonable accommodations when needed.
Please click here to apply.
Daily job updates on WhatsApp, Click here
