At Crosschq, we are dedicated to helping companies build diverse and winning teams. We provide HR leaders with data-driven insights and technical support to optimize hiring processes and enhance hiring quality. Our goal is to help companies to achieve happier employees, improved productivity, and a stronger culture with greater diversity and retention.

We are very pleased to continue growing and adding talent to our teams. Among these talents, we are looking for a Senior Data Scientist to play a crucial role in developing and implementing scalable solutions to address complex problems across the organization using statistical techniques, data science, and machine learning. You will work with large datasets, extract valuable insights, and design models that enhance our operations and decision-making processes.

Valuable background and abilities:

● Analytical Skills: Excellent analytical and problem-solving abilities, with a keen attention to detail. Ability to translate complex data insights into actionable business strategies.

● Communication and Collaboration Skills: Strong communication skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders.

● Team Player: Ability to work collaboratively in a cross-functional team environment and manage multiple priorities in a fast-paced setting.

About the project/role:

● Creation of Visualizations: Develop and maintain high-quality visualizations to represent data insights effectively, aiding in strategic decision-making.

● Stakeholder Collaboration: Participate in meetings with different stakeholders, interpret requirements, and provide visualization tools that simplify communication with both technical and business interlocutors.

● Production Integration: Collaborate with engineering teams to deploy, monitor, and maintain models in production, ensuring seamless integration and performance.

● Data Analysis and Insight Extraction: Obtain, process, and analyse large volumes of data from various sources to extract meaningful insights and inform strategic decisions.

● Develop and Implement Solutions: Create, develop, and implement new and scalable solutions for cross-functional organizational challenges using statistical methods, Data Science, and Machine Learning techniques.

● Model Design and Evaluation: Design, train, and evaluate Machine Learning models capable of adapting to complex production environments. Establish best practices for software development to ensure efficient and automated processes.

Required experience and skills: 

Programming Languages:

● Proficiency in Python.

● Experience with SQL.

Data Analysis and Visualization:

● Strong skills in data visualization tools such as Tableau, Power BI, or Matplotlib/Seaborn in Python.

● Proficiency in using libraries like Pandas and NumPy for data manipulation and analysis.

Machine Learning and Statistical Techniques:

● In-depth knowledge of Machine Learning algorithms and frameworks (e.g., Scikit-Learn, TensorFlow, Keras, PyTorch).

● Experience with statistical analysis and techniques, including hypothesis testing, regression, and clustering.

Software Development and Best Practices:

● Strong understanding of software development principles and best practices, including version control, testing, and continuous integration/continuous deployment (CI/CD).

Beneficial experience and skills to have:

Programming Languages:

● Experience with NoSQL databases (MongoDB, Neo4j) is a plus.

Data Analysis and Visualization:

● Experience with Highcharts library is a plus.

Seniority and years of experience

Senior with minimum of 5 years of experience in Data Science or a related field, with a proven track record of successfully developing and implementing Machine Learning models in production environments.

English Level

Advanced.

Type of work:

This is 100% remote work but based in Argentina.

Our Team:

You will be reporting to the Data Lead.

Holidays:

You will observe the public holidays in Argentina.

Vacations:

You will be able to take unlimited days, at your discretion.

Technology and Equipment:

We provide annual USD 750 to purchase work equipment.

Hiring process: 

● Talk with Oriana, Connector at Pitcheers 

● Technical screen

● Challenge at home

● Technical interview

● Final interview

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Recommendation:

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Talking with us: Book a free chat with our connectors to introduce yourself and clarify doubts you may have. 

Watching our YouTube channel, you'll find practical tips, interviews with experts, and real experiences from professionals in various technology roles. Join our community! https://www.youtube.com/@Pitcheers/videos 

Reading and following The Six-Steps Cycle. That you can download in: https://www.santilg.com/

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