BI/AI/ML Data Architect Developer

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Role: BI/AI/ML Data Architect/Developer
Location:  Miami, Florida hybrid – Onsite Tuesdays & Wednesdays, remote Monday, Thursday & Fridays
Compensation: $140K+ Performance Bonus
Job Type: Full Time/Perm
Job Code:  7301

Job Summary: We are in search of a skilled Business Intelligence Data Architect to join our team. The ideal candidate will play a key role in designing, developing, and managing data solutions using a variety of technologies. This position requires a deep understanding of data architecture principles, proficiency in BI technologies, and the ability to align data strategies with business objectives.

Essential Duties and Responsibilities:

1. Develop and implement strategic data architecture plans.
2. Design and construct large and complex data sets from diverse sources, considering strategic data usage and design interactions.
3. Implement AI and ML algorithms to support data analysis initiatives.
4. Develop and maintain Business Intelligence (BI) interfaces, including query tools, data visualization, interactive dashboards, ad hoc reporting, and data modeling tools.
5. Collaborate with business teams to understand requirements and develop BI solutions.
6. Translate business needs into technical specifications.
7. Design, build, and deploy BI solutions such as BI dashboards.
8. Maintain and support data analytics platforms.
9. Create tools for data storage, such as OLAP cubes.
10. Conduct unit testing and troubleshooting.
11. Evaluate and enhance existing BI systems.
12. Collaborate with teams to integrate systems.
13. Develop and execute database queries and analyses.
14. Create visualizations and reports for projects.
15. Develop and update technical documentation and data dictionaries.
16. Develop and maintain ETL processes.
17. Proactively identify opportunities to improve existing data architecture.

Key Relationships:

• Leadership
• Internal stakeholders
• External partners

Financial Responsibilities:

• Applicable project targets and metrics
• Gross and net revenue performance
• Organization’s Key Results
• Annual budget
• Cost Optimization

Qualifications:

• 5+ years of commercial experience.
• Bachelor’s degree in Computer Science, Engineering, or related field; Master’s degree is a plus.
• Proven experience as a BI Developer or Data Architect.
• In-depth understanding of database management systems, OLAP, and ETL frameworks.
• Familiarity with cloud platforms and big data tools.
• Experience in Wellness, Fitness, Cruise, Travel, or Hospitality industries preferred.
• Experience working with global teams.
• Excellent verbal and written communication skills.

Knowledge and Skills:

• Proficiency in SQL queries, SSRS, and SSIS.
• Experience with data modeling techniques and BI technologies (e.g., Power BI, Oracle BI).
• Knowledge of Qlik Technologies products is a plus.
• Familiarity with cloud services (AWS, Microsoft Azure) and AI/ML technologies.
• Experience with Python is a plus.
• Commercial thinking with a pragmatic approach.
• Analytical mindset with problem-solving aptitude.
• Strong attention to detail and organizational skills.

Style and Culture:

• Nurture Employees
• Play as a Team
• Find a Way or Make One
• Do the Right Thing
• Better Tomorrow Than Today
• Simple and Fast
• Open and Honest Communication
• Pay It Forward
• Walk the Talk

Not for you? If this opportunity isn't right for you, we offer a $1,000 referral success bonus. Refer someone to us at Referrals@SherlockTalent.com.

Senior Data Scientist

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Role: Senior Data Scientist (with AI and ML experience)
Location:  Miami, Florida hybrid – Onsite Tuesdays & Wednesdays, remote Mondays, Thursdays & Fridays
Compensation: $150K+ Performance Bonus
Job Type: Full Time/Perm
Job Code:  7302

Our client is pursuing new advances within the cruise, hospitality, and wellness industry.

Role Overview:
We seek a Senior Data Scientist with experience in AI and ML to join our dynamic team.
The candidate will leverage vast data to develop models and algorithms to drive business solutions and enhance the company’s data-driven decision-making process. The ideal candidate will have a deep understanding and extensive experience in data science, including machine learning, predictive modeling, and data visualization.

Essential Tasks and Responsibilities:

• Managing large and complex datasets, developing advanced analytics processes and programs, and ensuring data accuracy.
• Leading and developing machine learning models and algorithms to extract business insights and drive solutions.
• Developing custom data models and algorithms to apply to datasets.
• Collaborating with cross-functional teams to assess the effectiveness and accuracy of new data sources and data-gathering techniques.
• Maintaining and enhancing the business’s AI and ML solutions.
• Using predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Creating processes and tools to monitor and analyze model performance and data accuracy.
• Coordinating with different functional teams to implement models and monitor outcomes.
• Presenting findings and data insights to key stakeholders and providing recommendations for business improvements.
• Ensuring compliance with data privacy and protection regulations.
• Staying updated with emerging technologies and developments in data science and implementing new methodologies as needed.
• Mentoring other data scientists and data analysts, providing guidance and support in their career growth.

Crucial Relationships:

• Internal stakeholders
• External partners
• Leadership

Financial Competences:

• Annual budget
• BI Solutions Licensing and Maintenance Cost
• Cost Optimization
• Applicable project targets and metrics
• Organization’s Key Results
• Gross and net revenue performance

Skills and Knowledge:

• Ability to work in a fast-paced, dynamic environment.
• Experience with AI/ML technologies and LLMs (e.g., ChatGPT)
• Strong knowledge of machine learning models, statistical modeling techniques, and data mining.
• Proficiency in database architectures and development languages like MS SQL, Azure SQL, Cosmos DB.
• Experience using data visualization tools and data frameworks.
• Proficiency in programming languages like Python, R, or Scala.
• Strong problem-solving skills and ability to think critically and conceptually.
• Excellent communication and presentation skills.
• Familiarity with cloud services (AWS, Google Cloud, etc.) and experience with distributed data/computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) is a plus.
• Strong project management and organizational skills.

Qualifications:

• Proven experience as a Data Scientist or similar role.
• 5+ years of commercial experience
• Proven experience in working with a global team
• Wellness, Fitness, Cruise, Travel, or Hospitality industry experience preferred
• Advanced degree in Computer Science, Statistics, Mathematics, or a related field.

Values:

• Team’s Collaboration
• Find a Way or Make One
• Do the Right Thing
• Better Tomorrow Than Today
• Open and Honest Communication
• Walk the Talk
• Simple and Fast
• Nurture Employees
• Pay It Forward

 
Not for you?  Sherlock loves to share $1,000 referral success bonuses!  Referrals@SherlockTalent.com