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)

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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.

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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.

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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.

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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.

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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.

Please click here to apply.

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