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REMOTE Data Scientist Job Opening In Minnetonka – Now Hiring Insight Global


Job description

Job Description
An employer is seeking a Data Scientist to work in an enterprise level environment in the healthcare industry.

You will play a critical role in driving business growth and improving operational efficiency by developing and deploying data-driven solutions using Databricks, PySpark, and other related technologies.

You will accomplish the following for the business:
-Develop and deploy scalable data pipelines and machine learning models to drive business insights and decision-making.
-Improve data quality and consistency through data cleansing and feature engineering techniques.
-Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.

Team Description: You will be working with a team of 8-10 data scientists and engineers with diverse skill sets, including:
-Data engineering (Databricks, PySpark, SQL)
-Machine learning (Python, R, TensorFlow, PyTorch)
-Data analysis and visualization (Tableau, Power BI)
-Business acumen (healthcare industry knowledge, business operations)

The team culture is collaborative, dynamic, and focused on delivering high-quality results.

-Develop and deploy scalable data pipelines using Databricks and PySpark.
-Design and implement machine learning models using Python and related libraries (e.g., Scikit-learn, TensorFlow).
-Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.
-Perform data cleansing and feature engineering to improve data quality and consistency.
-Develop and maintain technical documentation for data pipelines and machine learning models.
-Work with stakeholders to identify and prioritize data-driven projects.
-Develop and deploy data visualizations to communicate insights to business stakeholders.
-Stay up-to-date with emerging trends and technologies in data science and machine learning.
-Collaborate with data engineers to ensure data quality and consistency.
-Participate in code reviews and contribute to the development of best practices for data science and engineering.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.

We are an equal opportunity/affirmative action employer that believes everyone matters.

Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
5+ years of experience in data science
3+ years of experience with Databricks and PySpark.
2+ years of experience with Python and related libraries (e.g., Scikit-learn, TensorFlow).
2+ years of experience with SQL and data warehousing.
Strong understanding of data cleansing and feature engineering techniques.
Experience with machine learning model development and deployment.

Healthcare industry experience
Experience with cloud-based data platforms (Azure).
Experience with Agile development methodologies.
Certification in data science or a related field (e.g., Certified Data Scientist).
Professional License or Certification: Not required, but certifications like Certified Data Scientist or Certified Analytics Professional are a plus.


Required Skill Profession

Other General


  • Job Details

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Unlock Your REMOTE Data Potential: Insight & Career Growth Guide


Real-time REMOTE 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 REMOTE Data in Minnetonka, United States, highlighting market share and opportunities for professionals in REMOTE Data roles.

105891 Jobs in United States
105891
153 Jobs in Minnetonka
153
Download Remote Data Jobs Trends in Minnetonka and United States

Are You Looking for REMOTE Data Scientist Job?

Great news! is currently hiring and seeking a REMOTE 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 Insight Global 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 United States laws and regulations

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

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

Key qualifications for REMOTE Data Scientist typically include Other General 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.

How Can I Improve My Chances of Getting Hired for REMOTE Data Scientist?

To improve your chances of getting hired for REMOTE 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 REMOTE Data Scientist Job Success

Insight Global interview tips for REMOTE Data Scientist

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

Before the Interview:

Research: Learn about the Insight Global'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 REMOTE Data Scientist interview at Insight Global, 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 Insight Global'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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