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Lead Data Scientist

Infosys Consulting is the worldwide management and IT consultancy unit of the Infosys Group (NYSE: INFY), dedicated to helping clients leverage data science for business transformation. Our Lead Data Scientist role is pivotal in driving advanced analytics strategies that create competitive advantages and foster innovation.

As a Lead Data Scientist at Infosys, you will lead a team to design and implement cutting-edge data solutions. You will leverage machine learning and statistical techniques to derive insights from complex datasets and help organizations make data-driven decisions. This role will require strong expertise in data modeling, algorithm development, and machine learning in addition to excellent communication skills to convey findings to technical and non-technical stakeholders.

Key Responsibilities:

  • Hands-on lead in developing and deploying machine learning models to solve key business challenges.
  • Design and implement algorithms that work on large datasets using tools such as Python, R, and SQL.
  • Guide the development of data pipelines and data architecture to facilitate analytics processes.
  • Collaborate with cross-functional teams to integrate data science solutions into business operations.
  • Evaluate model performance and conduct statistical analysis to provide actionable insights.
  • Present complex data findings to stakeholders in a clear and compelling manner.
  • Stay updated with the latest advancements in data science techniques and tools.
  • Mentor junior data scientists and contribute to their professional development.

Qualifications:

  • Proven experience as a Data Scientist or similar role (5+ years preferred).
  • Strong programming skills in Python, R, and familiarity with Big Data platforms (e.g., Hadoop, Spark).
  • Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Solid understanding of statistics and experience with statistical analysis techniques.
  • Experience with data visualization tools (e.g., Tableau, Power BI) for presenting analytics results.
  • Excellent problem-solving abilities and experience in transforming data into actionable insights.
  • Strong leadership skills with experience in managing a team or project.
  • Ability to work in a fast-paced environment and manage multiple projects simultaneously.

Preferred Qualifications:

  • Experience in specific industries such as finance, retail, or healthcare.
  • Familiarity with cloud-based solutions for data analytics (e.g., AWS, Azure, Google Cloud).
  • Experience with deployment of machine learning models in production environments.

We offer you great opportunities within a dynamically growing consulting organization. You will elaborate and deliver best practice solutions and will be able to further develop your skills. At Infosys Consulting you will discover a truly global culture that embraces diversity at all levels, working with highly dedicated and motivated colleagues, a cooperative work environment and interesting training opportunities.

Average salary estimate

$140000 / YEARLY (est.)
min
max
$120000K
$160000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Lead Data Scientist, Infosys Singapore & Australia

At Infosys Consulting, we’re on a mission to help businesses harness the power of data, and we’re looking for an innovative Lead Data Scientist to join our team. In this pivotal role, you’ll take the reins in driving advanced analytics strategies that really make a difference. As our Lead Data Scientist, you’ll lead a talented team to design and implement data solutions that leverage machine learning and statistical techniques, turning complex datasets into actionable insights that empower organizations to make informed, data-driven decisions. Your expertise will shine as you develop and deploy machine learning models to tackle key business challenges, guiding the creation of data pipelines and architecture that support our analytics processes. Collaboration is key in this role—working closely with cross-functional teams, you’ll integrate data science solutions into the business operations of our diverse clientele. You will also present your findings clearly and compellingly, ensuring stakeholders understand the value of the data insights. With an exciting landscape that’s always evolving, you’ll stay at the cutting edge of data science advancements while mentoring junior data scientists and shaping the future of our team at Infosys Consulting. Join us in creating competitive advantages and fostering innovation through data science!

Frequently Asked Questions (FAQs) for Lead Data Scientist Role at Infosys Singapore & Australia
What are the main responsibilities of a Lead Data Scientist at Infosys Consulting?

As a Lead Data Scientist at Infosys Consulting, your main responsibilities will include leading the development and deployment of machine learning models, designing algorithms for large datasets using Python, R, and SQL, guiding data pipeline architecture, collaborating with cross-functional teams, and evaluating model performance to provide actionable insights.

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What qualifications do I need to become a Lead Data Scientist at Infosys Consulting?

To be a successful candidate for the Lead Data Scientist position at Infosys Consulting, you should have a proven track record (5+ years preferred) in data science or a related role, strong programming skills in languages like Python and R, extensive experience with machine learning frameworks such as TensorFlow and scikit-learn, along with solid statistical analysis knowledge.

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How does Infosys Consulting support the professional development of Lead Data Scientists?

At Infosys Consulting, we believe in nurturing talent. As a Lead Data Scientist, you will not only mentor junior team members but also have access to valuable training opportunities that enhance your skills, keeping you updated with the latest advancements and best practices in data science.

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What tools and technologies do Lead Data Scientists at Infosys Consulting work with?

Lead Data Scientists at Infosys Consulting commonly work with tools such as Python, R, SQL, and various machine learning frameworks like TensorFlow and PyTorch. Additionally, familiarity with Big Data platforms, data visualization tools like Tableau and Power BI, and cloud-based analytics solutions such as AWS or Azure is beneficial.

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What industries does Infosys Consulting focus on for data science solutions?

Infosys Consulting serves a range of industries, including finance, retail, and healthcare. Experience in these sectors is preferred for the Lead Data Scientist role, as it can enhance your ability to drive effective data science solutions tailored to specific business needs.

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Common Interview Questions for Lead Data Scientist
Can you describe a successful machine learning project you've led as a Lead Data Scientist?

When answering this question, focus on detailing the problem you addressed, the approach you took, the results achieved, and how you led your team through the process. Emphasize your technical skills and leadership qualities.

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Which programming languages are you most proficient in for data science applications?

Highlight your expertise in programming languages such as Python and R. Discuss specific projects where you utilized these languages and the importance of these skills for the Lead Data Scientist role in delivering data-driven solutions.

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How do you approach data visualization and why is it essential?

Explain your approach to data visualization by discussing the tools you use, like Tableau or Power BI, and emphasize the significance of effectively communicating insights to non-technical stakeholders. Provide examples of how visualization has improved decision-making.

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What are the key elements to consider when developing a data pipeline?

Discuss elements such as data ingestion, transformation, storage, and analysis. Elaborate on your experience in building and optimizing data pipelines, highlighting strategies that improve efficiency and data quality.

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How do you ensure that your machine learning models perform effectively?

Talk about the importance of model evaluation metrics, continuous monitoring, and feedback loops. Explain how you implement these practices to maintain and enhance model performance post-deployment.

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What are some challenges you faced while working with large datasets?

Share specific challenges like data quality issues, integration difficulties, or performance bottlenecks. Emphasize how you tackled these challenges with technical solutions and collaboration with your team.

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What role does collaboration play in your work as a Lead Data Scientist?

Highlight how collaboration with cross-functional teams enhances project outcomes. Discuss your experience in working with stakeholders to ensure that data solutions align with business goals and operations.

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Can you mention any specific machine learning techniques you find most effective?

Discuss techniques like decision trees, neural networks, or ensemble methods, and share insights on how you have applied them successfully in past projects to derive valuable insights.

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What are your strategies for staying updated on the latest data science trends?

Describe your routine for professional development, including following industry publications, participating in workshops, and engaging in online courses or communities focused on the latest data science advancements.

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How do you mentor junior data scientists on your team?

Discuss your mentoring philosophy and give examples of how you provide guidance, share valuable resources, and empower junior team members to grow in their roles, emphasizing the importance of a collaborative learning environment.

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Infosys is a global provider of next-generation digital services and consulting services. Infosys provides information technology and digital marketing services such as AI and automation, Agile and DevOps, Salesforce, cyber security, data analytic...

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Full-time, remote
DATE POSTED
January 13, 2025

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