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Data Scientist II - Software Delivery
at McKinsey & Company
Mid LevelNo visa sponsorshipData Science/AI/ML
Posted 6 days ago
No clicks
- Compensation
- Not specified
- City
- San Jose
- Country
- Costa Rica
Currency: Not specified
Join McKinsey's Periscope team in Costa Rica as a Data Scientist/Analytics professional owning complex analytical workstreams with minimal oversight. You will design, build, and validate statistical models and ML algorithms using Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn) to address real-world business challenges and deliver actionable insights. You will work with large datasets, perform data cleaning and feature engineering, and collaborate with cross-functional teams while coaching junior colleagues and embedding solutions into client operations. The role emphasizes communication of complex analytics to both technical and non-technical audiences and ongoing methodological innovation.
Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.
Your Impact
You will be based in our Costa Rica office, working as part of the Periscope team—a dynamic, fast-growing, and highly visible group within our Marketing & Sales Solutions practice and the broader firm. Periscope has a presence in 27 locations across 16 countries with a team of 800+ IT and business professionals and a network of 300+ experts.
As a Data Scientist/Analytics professional at our Periscope Solution, you will take full ownership of complex analytical workstreams with minimal oversight, ensuring alignment with client objectives and delivering high-quality outcomes. You will proactively seek stakeholder guidance and feedback throughout the project lifecycle to refine approaches and ensure solutions meet client needs.
Your role will involve designing, building, and validating statistical models and machine learning algorithms to address real-world business challenges. You will leverage advanced programming skills in Python, utilizing libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn, to develop and implement analytical solutions. By applying advanced analytics, data science, and statistical methods, you will extract actionable insights and drive decision-making.
Working efficiently with large datasets, you will perform data cleaning, transformation (feature engineering), and analysis while ensuring data quality and integrity. You will collaborate with cross-functional teams, partnering with CSTs on complex or expertise-intensive workstreams. Your advanced analytical skills and domain knowledge will help shape problem-solving approaches, tailoring methodologies and solutions to the specific client context to ensure relevance and effectiveness.
Building meaningful relationships with consultants and clients will be a key aspect of your role. You will foster collaboration through multiple interactions of increasing depth and complexity, while also training clients and CSTs on the effective use of analytical tools, statistical models, and data-driven decision-making processes to embed solutions within the client’s operations.
You will play an active role in coaching new joiners and junior team members, providing guidance on advanced analytics, statistical modeling, and best practices. Additionally, you will continuously innovate and improve analytical methodologies, statistical modeling techniques, and solution delivery processes. By incorporating the latest advancements in data science, machine learning, and cloud technologies, you will enhance the performance and scalability of solutions.
Your excellent communication and presentation skills will enable you to explain complex analytical concepts, statistical models, and insights to both technical and non-technical audiences. You will ensure that stakeholders at all levels understand the value and implications of the analytical solutions being delivered.
Your Growth
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
Your qualifications and skills
- Bachelor's degree in a related field and 3+ years of experience in the field of data management, IT (database-focused), ETL and/or data analysis domains. Master’s degree, and 1.5+ years of work experience is a plus
- Advanced programming skills in Python (strong command over key libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn and other important modules)
- Solid Proficiency in SQL
- Familiarity with Kedro
- Proven ability to work efficiently with large datasets, including tasks such as data cleaning, transformation (feature engineering), and analysis, while ensuring data quality and integrity
- Experience with cloud platforms such as AWS and/or Azure Databricks
- Demonstrated deep experience in applying advanced analytics, data science, and statistical methods to real-world projects
- Strong understanding of commonly used machine learning algorithms
- Excellent presentation and communication abilities, with the capacity to explain complex analytical concepts and insights to both technical and non-technical audiences
Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.
FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.
FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
Job Skill Group - N/A
Job Skill Code - TSD2 - (Restricted) SD Data Scientist II
Function - Marketing & Sales
Industry - Retail
Post to LinkedIn - Yes
Posted to LinkedIn Date - Tue Jul 01 00:00:00 GMT 2025
LinkedIn Posting City - San Jose
LinkedIn Posting State/Province -
LinkedIn Posting Country - Costa Rica
LinkedIn Job Title - Data Scientist II - Software Delivery
LinkedIn Function - Marketing;Sales
LinkedIn Industry - Market Research;Marketing and Advertising
LinkedIn Seniority Level - Mid-Senior level
Job Skill Code - TSD2 - (Restricted) SD Data Scientist II
Function - Marketing & Sales
Industry - Retail
Post to LinkedIn - Yes
Posted to LinkedIn Date - Tue Jul 01 00:00:00 GMT 2025
LinkedIn Posting City - San Jose
LinkedIn Posting State/Province -
LinkedIn Posting Country - Costa Rica
LinkedIn Job Title - Data Scientist II - Software Delivery
LinkedIn Function - Marketing;Sales
LinkedIn Industry - Market Research;Marketing and Advertising
LinkedIn Seniority Level - Mid-Senior level
