Sep 29, 2023 - Varismx is hiring a remote Data Science Manager. 📍Location: Mexico.
This is a 100% fully remote role. Work virtually from anywhere in Mexico.
Varis stands as a pioneering force in the realm of digital procurement and commerce, serving as the nexus where buying organizations and suppliers seamlessly unite, forge contracts, transact, and prosper together. As a rapidly ascending technology startup, our core focus lies in digital commerce software-as-a-service and procurement, specifically within the dynamic landscape of B2B e-commerce.
At the heart of Varis beats an unwavering commitment to innovation and a customer-centric ethos that is poised to revolutionize business-to-business marketplaces. Joining our team at this juncture is akin to stepping onto the ground floor of an extraordinary opportunity to co-shape our destiny. Here, you'll not only witness but actively participate in the direct impact of your work, surrounded by a cadre of passionate individuals. You'll find yourself at the epicenter of a profoundly dynamic business model teeming with untapped individual and collective potential.
Your passion, innovation, and creativity are the very catalysts that will propel us to unprecedented heights. Join us today and be instrumental in propelling Varis into a future brimming with promise and possibility.
Varis, Inc. is seeking to hire an experienced Sr. Data Science Manager for Machine Learning and AI, you will be responsible for overseeing a team of talented data scientists and guiding them in designing, developing, and implementing Machine Learning and Artificial Intelligence solutions. You will collaborate closely with cross-functional teams to identify business opportunities, formulate data strategies, and drive the adoption of advanced analytical techniques to deliver valuable insights and solutions. You'll play a pivotal role in shaping the company's data-driven initiatives and contributing to its overall success.
• Lead, mentor, and manage a team of Data Engineers, Data scientists and Ontologists focused on such as Data Analytics, Machine Learning, Artificial Intelligence, Ontology based initiatives.
• Define the roadmap, strategy, and goals aligned with the company's objectives.
• Collaborate with cross-functional teams to identify business challenges and opportunities where ML and AI techniques can drive impact.
• Design and develop innovative ML and AI models, algorithms, and solutions to solve complex business problems.
• Oversee the end-to-end lifecycle of data science projects, from problem definition and data collection to model development, deployment, and monitoring.
• Stay up-to-date with the latest advancements in ML and AI research and technology, and assess their potential application within the company.
• Lead the evaluation and selection of appropriate tools, technologies, and frameworks for data science projects.
• Ensure the integrity, security, and privacy of data used in ML and AI initiatives.
• Communicate insights and findings to both technical and non-technical stakeholders, influencing strategic decisions.
• Foster a collaborative and innovative team culture, encouraging knowledge sharing and continuous learning.
• Provide regular performance feedback, conduct performance evaluations, and support the professional growth of team members.
• Basic understanding of Ontology including Classification (mapping) of products
• Bachelors or Master's or PhD degree in a relevant field such as Computer Science, Data Science, Machine Learning, or Artificial Intelligence with a minimum 5 years of management experience
• Proven experience in leading and managing data science teams, with a focus on ML and AI projects.
• Strong background in developing and implementing machine learning algorithms, deep learning models, and AI solutions.
• Proficiency in programming languages such as Python or R, and experience with data manipulation, analysis, and visualization libraries.
• Hands-on experience with ML and AI frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
• Solid understanding of data engineering concepts and practices to ensure efficient data pipelines for modeling.
• Demonstrated track record of successfully delivering data-driven solutions that have had a tangible impact on business outcomes.
• Excellent problem-solving skills and the ability to think critically and strategically.
• Strong communication skills to convey complex technical concepts to both technical and non-technical stakeholders.
• Experience in deploying ML models to production environments and ensuring their ongoing performance.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services for data storage and processing is a plus.
The above statements are intended to describe the general nature and level of work being performed by associates assigned to this classification and are not intended to be a complete list of all required responsibilities and skills. Other duties and special projects may be assigned per business needs. Job descriptions are subject to change at any time with or without notice.
Benefits and Perks
- 100% remote work in Mexico
- Christmas bonus
- Vacation and personal days
- Vacation bonus
- Profit sharing
- Life insurance
- Private medical insurance
- Savings fund
- Food vouchers
- Telework allowance