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Lead Data Scientist Job Opening In Chile, Chile – Now Hiring EPAM Systems


Job description

2 days ago Be among the first 25 applicants

We are seeking a Lead Data Scientist to join our team.

In this position, you will spearhead the use of advanced data science and machine learning methodologies to tackle intricate supply chain issues, enhance processes, and support better decision-making.

Working independently while collaborating with Supply Chain engineering teams, you will develop and deploy impactful solutions that utilize AI and data-driven innovations to shape our supply chain strategy.

Responsibilities

  • Build, refine, and implement cutting-edge machine learning models and algorithms designed for supply chain needs, including demand forecasting, inventory management, network design, and logistics optimization
  • Collaborate with Supply Chain engineering teams to gather insights into their workflows, technical limitations, and data requirements
  • Oversee the entire lifecycle of data science projects, from defining challenges and analyzing data to deploying models and monitoring their performance
  • Leverage expertise in Generative AI to design applications that incorporate AI capabilities
  • Utilize skills in time-series analysis, forecasting, and statistical modeling to analyze supply chain data and external datasets
  • Conduct comprehensive data analyses to identify trends, patterns, and opportunities for enhancing supply chain operations
  • Deliver insights, findings, and technical concepts to diverse audiences using clear presentations and visualizations
  • Stay informed on advancements in AI and supply chain technologies, experimenting with new methods and approaches
  • Create and implement solutions for batch and real-time algorithms, including tools for monitoring, logging, automated testing, performance evaluation, and A/B testing

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, Supply Chain Management, or a similar field
  • A minimum of 5 years of experience in data science and machine learning, with a specialization in supply chain applications
  • At least 1 year of experience leading and managing development teams
  • Proficiency in cloud computing platforms like AWS, Azure, or GCP, as well as experience with machine learning tools such as MLFlow
  • Advanced knowledge of both relational SQL and NoSQL databases
  • Strong programming skills in languages such as Python, R, Scala, or Rust, along with experience in machine learning frameworks and libraries
  • Deep understanding of supply chain concepts, processes, and data structures
  • Demonstrated ability to deploy data science solutions that enhance supply chain performance
  • Outstanding problem-solving skills and analytical thinking for addressing complex challenges creatively
  • Strong communication skills, enabling collaboration with cross-functional teams and explaining technical concepts to non-technical stakeholders
  • Enthusiasm for keeping up with industry advancements and sharing knowledge within the team
  • Practical experience with Generative AI services and open-source models
  • Self-motivated with the ability to independently manage projects and drive them to completion
  • Proven ability to excel in dynamic, fast-paced environments
  • Proficiency in English, both written and spoken, at a B2+ level or higher

Nice to have

  • Familiarity with distributed computing tools like Spark
  • Expertise in deep learning frameworks such as TensorFlow or PyTorch, with hands-on experience in developing complex AI systems

We offer

  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Engineering, Information Technology, and Business Development

Industries

  • Software Development, IT Services and IT Consulting, and Retail

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Get notified about new Lead Data Scientist jobs in Chile .

Santiago, Santiago Metropolitan Region, Chile 3 weeks ago

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Required Skill Profession

Biología, Biotecnología Y Química


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Unlock Your Lead Data Potential: Insight & Career Growth Guide


Real-time Lead Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Lead Data in Chile, Chile, highlighting market share and opportunities for professionals in Lead Data roles.

6995 Jobs in Chile
6995
486 Jobs in Chile
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Download Lead Data Jobs Trends in Chile and Chile

Are You Looking for Lead Data Scientist Job?

Great news! is currently hiring and seeking a Lead Data Scientist to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at EPAM Systems adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Chile laws and regulations

What Is the Average Salary Range for Lead Data Scientist Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Chile. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Lead Data Scientist?

Key qualifications for Lead Data Scientist typically include Biología, Biotecnología Y Química and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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To improve your chances of getting hired for Lead Data Scientist, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Lead Data Scientist Job Success

EPAM Systems interview tips for Lead Data Scientist

Here are some tips to help you prepare for and ace your Lead Data Scientist job interview:

Before the Interview:

Research: Learn about the EPAM Systems's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Lead Data Scientist interview at EPAM Systems, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the EPAM Systems's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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