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Senior Data Scientist Job Opening In WorkFromHome – Now Hiring EPAM Systems


Job description

EPAM is a leading global provider of digital platform engineering and development services.

We are committed to having a positive impact on our customers, our employees, and our communities.

We embrace a dynamic and inclusive culture.

Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow.

No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking a highly experienced Senior Data Scientist to join our remote team.

You will work closely with cross-functional teams to design and implement data-driven solutions that drive business growth and innovation.

The ideal candidate will have a strong background in data science, machine learning, and deep learning frameworks, with a proven track record of delivering impactful results.

Responsibilities

  • Lead the development of machine learning models and data-driven solutions that drive business growth and innovation
  • Collaborate with cross-functional teams to identify opportunities for machine learning and data science solutions
  • Design, implement, and deploy machine learning models using industry best practices
  • Monitor and maintain the performance and accuracy of machine learning models in production
  • Conduct exploratory data analysis and feature engineering to develop insights and improve model performance
  • Stay up-to-date with the latest advancements in machine learning and data science to ensure the company remains at the forefront of innovation

Requirements

  • 3+ years of experience as a Data Scientist
  • Expertise in machine learning model development, deployment, and monitoring
  • Strong programming skills in Python and experience with related libraries such as Pandas
  • Experience with SQL and database technologies such as Snowflake
  • Expertise with Apache Spark and Amazon Web Services, including Databricks
  • Familiarity with Elasticsearch and other big data technologies
  • Ability to communicate complex ideas and analysis to technical and non-technical stakeholders
  • Fluent English language skills with an upper-intermediate level

Nice to have

  • Experience with natural language processing (NLP) and computer vision (CV) technologies
  • Expertise in data visualization and dashboard creation
  • Familiarity with containerization technologies such as Docker and Kubernetes
  • Experience with distributed systems and parallel computing
  • Knowledge of cloud computing platforms such as Google Cloud Platform and Microsoft Azure

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 Research

Industries

  • Software Development, IT Services and IT Consulting, and Retail
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Required Skill Profession

Bases De Datos, Analítica Y Bi


  • Job Details

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Unlock Your Senior Data Potential: Insight & Career Growth Guide


Real-time Senior 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 Senior Data in WorkFromHome, Colombia, highlighting market share and opportunities for professionals in Senior Data roles.

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Are You Looking for Senior Data Scientist Job?

Great news! is currently hiring and seeking a Senior 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 Colombia laws and regulations

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

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. 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 Senior Data Scientist?

Key qualifications for Senior Data Scientist typically include Bases De Datos, Analítica Y Bi 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 Senior 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 Senior Data Scientist Job Success

EPAM Systems interview tips for Senior Data Scientist

Here are some tips to help you prepare for and ace your Senior 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.

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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 Senior 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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