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Data Scientist 4 (English speaking) Job Opening In WorkFromHome – Now Hiring Ohiox


Job description

Data Scientist 4 (English speaking)

Overview

As a Data Scientist 4, you will play a critical role in driving data-informed decision-making across the organization.

You will lead the development of predictive models, advanced statistical techniques, and machine learning.

This role requires a strategic thinker with deep technical expertise and strong business acumen to translate complex data into actionable insights for our B2B software products.

What you will be doing

  • Serve as a strategic partner to cross-functional teams, identifying opportunities to apply data science to solve business problems.

  • Collaborate and lead large, complex analytical experiments with minimal oversight from team members.

    Analyze data for trends and patterns, and interpret data with clear objectives in mind.

  • Lead the design, development, and deployment of predictive models (e.g., churn, propensity, lifetime value).

  • Serve as a data strategist to identify and integrate new datasets, and work closely with the engineering team in the development of data deliverables for business consumption.

  • Build and maintain interactive dashboards and visualizations in Power BI to communicate insights effectively.

  • Identify relevant data sources and sets to mine for business needs, and collect large structured and unstructured datasets and variables.

  • Develop and utilize advanced algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy.

  • Make strategic recommendations on data collection, integration, and retention requirements, incorporating business needs and industry best practices.

  • Collaborate with internal business analysts and external client teams to identify and solve data-driven challenges.

  • Collaborate with data engineering team to integrate models into production environments.

  • Mentor junior data scientists and analysts, fostering a culture of learning and innovation.

  • Stay current with industry trends, emerging technologies, and best practices in data science and machine learning.

  • Ensure data integrity and governance across all analytics initiatives.

What will make you successful

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

  • 5+ years of experience in data science or advanced analytics, preferably in a B2B SaaS or enterprise software environment.

  • Proven experience building and deploying predictive models using Python or R.

  • Advanced understanding of relational, NoSQL, big data, and graph databases
  • Hands-on experience with Power BI for data modeling, visualization, and reporting.

  • Deep understanding of machine learning algorithms, statistical modeling, and A/B testing.

  • Advanced Microsoft Excel and data mining skills.

  • Excellent communication skills with the ability to translate complex analyses into business impact.

  • Strong project management and stakeholder engagement skills.

  • Experience with customer analytics, including churn prediction, segmentation, and lifetime value modeling.

  • Familiarity with cloud platforms (e.g., Azure, AWS, GCP).

  • Experience working in Agile environments and collaborating with engineering teams.

  • Excellent oral and written communications skills that demonstrate a professional demeanor and the ability to interact with executive presence
  • Excellent organizational, multi-tasking, and time management skills
  • Excellent collaboration skills, applied successfully within team as well as with all levels of employees in other areas
  • Excellent interpersonal skills; able to maintain solid rapport with team members as well as maintain professionalism with those outside of department
  • Up to 5% travel time required

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Required Skill Profession

Bases De Datos, Analítica Y Bi


  • Job Details

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Unlock Your Data Scientist Potential: Insight & Career Growth Guide


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

18276 Jobs in Colombia
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16112 Jobs in Workfromhome
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Download Data Scientist Jobs Trends in Workfromhome and Colombia

Are You Looking for Data Scientist 4 (English speaking) Job?

Great news! is currently hiring and seeking a Data Scientist 4 (English speaking) 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 Ohiox 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 Data Scientist 4 (English speaking) 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 Data Scientist 4 (English speaking)?

Key qualifications for Data Scientist 4 (English speaking) 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.

How Can I Improve My Chances of Getting Hired for Data Scientist 4 (English speaking)?

To improve your chances of getting hired for Data Scientist 4 (English speaking), 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 Data Scientist 4 (English speaking) Job Success

Ohiox interview tips for Data Scientist 4 (English speaking)

Here are some tips to help you prepare for and ace your Data Scientist 4 (English speaking) job interview:

Before the Interview:

Research: Learn about the Ohiox'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 Data Scientist 4 (English speaking) interview at Ohiox, 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 Ohiox'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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