Data Scientist in Decision Point Latam

Decision Point offers an entrepreneurial environment and exposure to advanced analytics in the domain of sales and marketing. The team at Decision Point is very young, energetic, and highly skilled. Our team consists of talented business consultants, data scientists and engineers who are passionate about implementing analytics in real world business problems.

A career at Decision Point is rich in global experience and offers opportunities to build lasting relationships.

• Utilize advanced Python programming skills to design, develop, and deploy machine learning models and algorithms for various business use cases.
• Develop Machine Learning techniques such as regression, classification, clustering, and deep learning
• Ensure the availability, quality, and security of data used for analysis and modeling
• Investigate and interpret data to identify actionable insights and opportunities for improvement
• Work with cross-functional teams to implement data-driven solutions and drive business growth
• Manage client relationships effectively, including conducting meetings, understanding client requirements, and delivering solutions that meet or exceed expectations.
• Lead efforts to expand business opportunities by identifying new avenues for data-driven insights and solutions.

• Create Point of Views (POVs) and thought leadership content to showcase the company's expertise in data science and analytics.
• A Tech lead to handle a team in completing the client deliverables
• Research and devise innovative statistical models for data analysis
• Take responsibility for technical skill-building within the organization (training, process definition, research of new tools and techniques etc.)
• Take part in organizational development activities to take our organzation to the next level

• Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or related field. Master's degree preferred
• Minimum of 3+years of experience in a data science domain or related role.
• Proficiency in Python for data manipulation, analysis, and model development.
• Data Science libraries (such as NumPy, Pandas, Scikit-Learn, TensorFlow, or PyTorch)
• Advanced SQL skills for data extraction, transformation, and analysis.
• Strong knowledge and practical experience in Machine Learning techniques and frameworks such as such as regression, classification, clustering, and deep learning.
• Strong knowledge in Statistics, ML and LLM/Gen AI
• Proven track record of successfully managing client relationships and delivering value-added solutions
• Experience in building Reporting Dashboards in any of the BI Tools is good to have: Power BI, Tableau, Looker
• Familiarity with any could platform such as Azure, AWS, GPC

• Hybrid 4x1 in CL and 3x2 in MX from the fourth month (4 days a week in office and 1 from home, in Mexico 3 days a week in office and 2 from home)
• Lunch and Healthy Snacks (CL)
• Complementary Health Insurance (CL)
• 2 Days free per quarter of the year
• 5 extra days of vacation