Senior Data Scientist

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Provincia de San Jose, Canton Central, San José i Costa Rica
Internship
Big Data • Software • Analytics
The Role

Business Area:

IT

Seniority Level:

Mid-Senior level

Job Description: 

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

We are seeking a highly skilled and motivated Senior Data Scientist to join our Business Intelligence team. The ideal candidate will have a strong background in data science, analytics, and statistical modelling with a particular focus on prescriptive analytics. This role will involve analyzing complex data sets, developing prescriptive models, and delivering actionable recommendations to support business decisions. The Data Scientist will also play a crucial role in enhancing our data analytics offerings, implementing prescriptive business processes, and upskilling team members.

As a Senior Data Scientist, you will:

  • Analyze large and complex data sets to identify trends, patterns, and actionable insights.

  • Develop and implement prescriptive models to optimize business operations and decision-making.

  • Utilize statistical techniques and machine learning algorithms to support data-driven strategies.

  • Collaborate with business stakeholders to understand needs and translate them into data-driven solutions.

  • Present findings and recommendations to senior management and stakeholders in a clear and impactful manner.

  • Ensure data quality and integrity through data cleaning, transformation, and validation.

  • Mentor and upskill team members in data science and analytics techniques.

We’re excited to have you if you have:

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

  • 4+ years of experience in data science, analytics, or a related role.

  • Proficiency in Python and experience with data visualization tools (e.g., Tableau, Power BI).

  • Strong knowledge of statistical methods, prescriptive analytics, and data mining techniques.

  • Excellent problem-solving skills and attention to detail.

  • Strong communication and presentation skills, with the ability to convey complex ideas effectively.

  • The ability to work independently and collaboratively in a fast-paced environment.

You may also have:

  • Experience with big data technologies such as Hadoop and Spark.

  • Knowledge of database management systems like SQL and NoSQL.

  • Previous experience in a business intelligence or analytics team.

  • A track record of continuously improving and innovating data analytics processes and methodologies.

  • A passion for staying current with the latest trends and advancements in prescriptive analytics and data science.

What you can expect from us:

  • Generous PTO Policy 

  • Support work life balance with Unplugged Days

  • Flexible WFH Policy 

  • Mental & Physical Wellness programs 

  • Phone and Internet Reimbursement program 

  • Access to Continued Career Development 

  • Comprehensive Benefits and Competitive Packages 

  • Paid Volunteer Time

  • Employee Resource Groups

Cloudera is an Equal Opportunity / Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

#LI-MM1

#LI-Remote

The Company
HQ: Palo Alot, CA
3,092 Employees
On-site Workplace
Year Founded: 2008

What We Do

At Cloudera, we believe that data can make what is impossible today, possible tomorrow. We empower people to transform complex data into clear and actionable insights. Cloudera delivers an enterprise data cloud for any data, anywhere, from the Edge to AI. Powered by the relentless innovation of the open source community,

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