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Urgent! Lead Data Scientist Job Opening In WorkFromHome – Now Hiring Blend360
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through data science, AI, technology, and people.
The company aims to fuel bold visions by aligning human expertise with artificial intelligence and by leveraging world-class people and data-driven strategy.
For more information, visit
We are seeking a Senior Data Scientist to contribute to our growth and expansion.
What is this position about?
This position is for an experienced Data Scientist who will design and implement advanced machine learning solutions within Snowflake.
The Senior Data Scientist will focus on developing robust MLOps practices—including feature stores, model registry, pipelines, testing, and deployment governance—while leveraging strong expertise in ML modeling, Python, and PySpark.
This is a senior-level individual contributor role with ownership of complex projects and no direct people management.
The position is open to candidates located in Argentina, Colombia, Chile or Uruguay .
Develop and deploy scalable machine learning models using Python and PySpark.
Build and implement end-to-end MLOps frameworks within Snowflake, including feature stores, model registry, and pipelines.
Define and enforce best practices for model testing, monitoring, and deployment governance.
Collaborate with data engineers, product teams, and business stakeholders to deliver actionable ML solutions.
Conduct model validation and performance evaluation, ensuring fairness, robustness, and reproducibility.
Drive efficiency and scalability in ML workflows through automation and distributed computing.
Stay up to date with emerging trends in ML, MLOps, and the Snowflake ecosystem to continuously improve solutions.
Strong expertise in machine learning modeling and algorithm development.
Advanced proficiency in Python and PySpark for large-scale data analysis and ML workflows.
Hands-on experience with Snowflake for data processing and ML pipeline implementation.
Exposure to MLOps practices (model deployment, lifecycle management, governance).
Solid problem-solving and communication skills, with the ability to engage technical and non-technical stakeholders.
Experience collaborating across teams in data-intensive environments.
Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.
What about languages?
Excellent written and verbal English is required to ensure effective communication with team members and stakeholders.
How much experience must I have?
Minimum of 5+ years of experience in Data Science, with proven expertise in ML modeling and applied MLOps practices.
Our Perks and Benefits:
Learning Opportunities:
Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
Access to AI learning paths to stay up to date with the latest technologies.
Study plans, courses, and additional certifications tailored to your role.
Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
English lessons to support your professional communication.
Mentoring and Development:
Career development plans and mentorship programs to help shape your path.
Celebrations & Support:
Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
Company-provided equipment.
Other benefits may vary according to your location in LATAM.
For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.
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Unlock Your Lead Data Potential: Insight & Career Growth Guide
Real-time Lead Data Jobs Trends in WorkFromHome, Colombia (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Lead Data in WorkFromHome, Colombia using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 29366 jobs in Colombia and 25707 jobs in WorkFromHome. This comprehensive analysis highlights market share and opportunities for professionals in Lead Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Blend360 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: Lead Data Scientist Jobs WorkFromHome.
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 Blend360 adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Lead Data Scientist Jobs Colombia 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.
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. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Lead Data Scientist interview at Blend360, 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 Blend360'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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