Senior Data Scientist

Description

Job Summary: We are seeking a Senior Data Scientist to analyze large volumes of data, develop statistical and Machine Learning models, and transform data into actionable insights that drive business decision-making. Key Highlights: 1. Analyze large volumes of structured and unstructured data 2. Design, develop, and implement statistical models and ML algorithms 3. Translate analytical results into actionable business recommendations Role Description: \*ENGLISH MANDATORY\* DO NOT APPLY IF YOU DO NOT HAVE C1 OR C2 LEVEL ENGLISH We are seeking a \*Senior Data Scientist with at least 8 years of experience, responsible for \*\*analyzing large volumes of data, developing \*\*statistical and Machine Learning models, and transforming structured and unstructured data into \*\*actionable insights\* that drive business decision-making. Key Responsibilities: \* Analyze large volumes of \*structured and unstructured data\*. \* Design, develop, and implement \*statistical models and Machine Learning algorithms\*. \* Collect, clean, and prepare data from multiple sources. \* Develop \*dashboards and visualizations\* to communicate findings and insights. \* Translate analytical results into \*actionable business recommendations\*. \* Collaborate with technical and business teams to understand requirements. \* Perform ad-hoc analysis based on business needs. \* Stay up-to-date with \*Data Science trends, tools, and technologies\*. \* Promote continuous improvement in analytical processes and products. Technical Requirements: \* \+8 Years of experience with UNIX / Red Hat Enterprise Linux systems \* \+8 years of experience as a \*Data Scientist\* or similar role. \* Proficiency in \*Python, R, and SQL\*. \* Experience with visualization tools such as \*Tableau or Power BI\*. \* Solid knowledge of \*applied statistics and statistical analysis\*. \* Practical experience with ML frameworks:\* \*TensorFlow\*\* \*scikit-learn\*\* \*PyTorch\* \* Experience working with \*large volumes of data\* and \*data warehousing\* solutions. \* Ability to connect data analysis with \*business strategy\*. Additional Requirements: \* Master’s or PhD in \*Data Science, Statistics, Computer Science, or related field\* \* Certifications in Data Science or Machine Learning (preferred)\* \*Advanced English (minimum solid B2 – mandatory)\* \* Ability to work in a \*hybrid work model\* Location and Work Model: \*Hybrid work model\* \* Partial on-site work in \*Guadalajara\*\* Hybrid option available from \*CDMX\* \* Working hours: Monday to Friday, 9:00 a.m. – 6:00 p.m. \-\-\-\-\-\-\-\-\> \*Important:\* \> Residency in \*Guadalajara\* under a \*hybrid work model\* is required. We Offer: \*Competitive salary (gross)\* \* Direct \*100% payroll employment\* \* Statutory benefits and \*enhanced benefits\* \* Premium year-end bonus and vacation benefits\* \* Family health insurance (SGMM)\* \* Life insurance \* Grocery vouchers \* Savings fund \* Performance bonuses If you meet the profile and are looking for a serious challenge, \*we would be happy to speak with you\*. Leticia Dibildox Mobile: 33\-1993\-904 Employment Type: Full-time, Indefinite-term contract Salary: $72,000\.00 \- $75,000\.00 per month Benefits: * Salary increases * Savings fund * Option for indefinite-term contract * Major medical expense insurance * Vision insurance * Dental insurance * Life insurance * Additional vacation days or paid leave * Grocery vouchers * Restaurant vouchers Work Location: ON-SITE GUADALAJARA Employment Type: Full-time, Indefinite-term contract Salary: $72,225\.31 \- $75,437\.26 per month Benefits: * Life insurance * Grocery vouchers Work Location: On-site employment