Senior Data Scientist

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