Intuit is hiring for an entry level Data Scientist role in US

Position:

Data Scientist 2

Company:

Intuit

Location:

Atlanta, Georgia

Job Type:

Full-time

Job Mode:

Onsite/Hybrid

Job Requisition ID:

2024-57428

Years of Experience:

1+ years in data science and machine learning (No assumptions added beyond the given description)

Company Description :

Intuit is a prominent global financial technology platform dedicated to fostering prosperity for individuals and communities worldwide.
Serving around 100 million customers, Intuit’s product suite includes TurboTax, QuickBooks, Credit Karma, and Mailchimp.
Through its suite of offerings, Intuit empowers people and businesses to address their financial needs, whether tax preparation, financial management, credit access, or small business marketing.
The company is committed to constant innovation, seeking to enhance its products and services through cutting-edge technology.
With a mission to empower everyone with opportunities to prosper, Intuit actively integrates advanced technologies like artificial intelligence and machine learning into its offerings.
This dedication is reflected in their robust portfolio of products, which is continually evolving to address the ever-changing financial landscape.
Intuit’s global presence and large workforce underscore its leadership in the fintech industry, enabling them to reach diverse markets and provide tailored financial solutions.
Known for fostering a supportive and safe community, Intuit encourages open conversation among customers, ensuring adherence to community standards and mutual respect.

Profile Overview :

The Data Scientist 2 role at Intuit is an opportunity to be part of the Intuit AI team, a dynamic group dedicated to embedding artificial intelligence and machine learning across the company’s product portfolio.
In this role, the selected candidate will be responsible for building, deploying, and refining machine learning models aimed at enhancing product features, such as personalization, security, and anti-fraud capabilities.
Working collaboratively with product managers, software engineers, and designers, the Data Scientist will actively participate in the design and testing phases of new product features.
This position requires managing the end-to-end machine learning lifecycle, from data exploration to model deployment, ensuring smooth integration and alignment with business goals.
Additionally, the role involves performing statistical analysis, conducting A/B testing, and sharing insights with peers and leadership.
The Data Scientist will continuously explore new AI and ML technologies to improve Intuit’s offerings, contributing to a data-driven approach that directly impacts customer satisfaction.
Ideal for individuals passionate about data science, this role is crucial in delivering customer benefits through innovative and practical AI applications.

Responsibilities

Machine Learning Model Development:
- Develop, refine, and deploy machine learning models to enhance Intuit’s product features.
- Own the entire ML lifecycle, collaborating closely with machine learning engineers for successful deployment.
Application of Machine Learning Techniques:
- Implement a range of machine learning methodologies, including supervised, unsupervised, reinforcement learning, natural language processing (NLP), and generative AI.
- Improve relevance and personalization through model adjustments and feature tuning.
Collaboration with Cross-functional Teams:
- Work directly with product managers, software engineers, and designers in the conceptualization and testing of new product features.
- Partner with product managers and analysts to design, execute, and analyze A/B tests, assessing the impact of machine learning models on user experience.
Data Processing and Training:
- Manage and process extensive datasets to ensure model accuracy and robustness.
- Train models on diverse data to maintain high standards of personalization and relevance.
Experimentation and Statistical Analysis:
- Design and run experiments to evaluate model performance and improve data-driven decision-making.
- Conduct statistical analysis on A/B test results and communicate findings to internal stakeholders.
Exploration of Emerging Technologies:
- Stay updated with technological advancements in AI and machine learning to incorporate innovative solutions into product development.
- Evaluate the potential impact of new technologies on customer benefits, incorporating relevant advancements into the product roadmap.

Qualifications :

Educational Background:
- Holds a Bachelor’s, Master’s, or Ph.D. in Computer Science, Statistics, Applied Mathematics, Operations Research, or a related field.
- Relevant work experience may be considered in place of formal education in certain cases.
Technical Skills:
- Proficiency in Modern Data Science Tools: Demonstrates a minimum of 1 year of experience with modern data science tools.
- Programming Skills: Strong command of Python, with experience in popular data science libraries like TensorFlow, PyTorch, and Keras.
- Database Management: Skilled in SQL for data manipulation and querying.
- Linux Environment: Comfortable working within a Linux-based environment.
Machine Learning Expertise:
- Experienced with machine learning techniques such as classification, regression, decision trees, and neural networks.
- Familiar with advanced AI applications like large language models, recommendation systems, and generative AI.
- Demonstrates proficiency in natural language processing (NLP), clustering, anomaly detection, and sequential pattern discovery.
Soft Skills:
- Strong communication skills with the ability to articulate complex technical information to both technical and non-technical audiences.
- Capable of collaborating in a team environment and working effectively with cross-functional partners.

Additional Info :

Career Growth Opportunities:
- Joining Intuit offers the chance to grow professionally within a company recognized for its commitment to technology and innovation.
- Provides a learning environment where employees are encouraged to stay current with the latest in machine learning and AI.
Collaborative Work Culture:
- Intuit emphasizes a collaborative and inclusive work culture, fostering creativity and teamwork.
- Employees work within cross-functional teams, where input is valued, and innovative ideas are welcomed.
Customer Impact:
- Work directly impacts millions of users by enhancing product functionality, personalization, and security.
- Opportunity to create a positive difference in customers' financial journeys through data-driven insights and AI solutions.
Emphasis on Diversity and Inclusion:
- Intuit is committed to promoting diversity and ensuring a safe, respectful work environment for all.
- The company actively works toward an inclusive workplace where everyone’s voice is heard and respected.
Access to Advanced Tools and Resources:
- Employees have access to cutting-edge technologies and tools, fostering skill development and technical proficiency.
- Opportunities for continuous learning and hands-on experience with the latest in AI and machine learning trends.