Jobs at Odixcity Consulting

Responsibilities

• Examine and improve data science prototypes.
• Create advanced machine learning infrastructures.
• Test and implement machine learning techniques and tools.
• Develop machine learning systems that meet given goals.
• Select and prepare datasets using appropriate encoding and formatting methods.
• Ensure reliable and clean data flows through every phase of the machine learning pipeline.
• Partner with developers to integrate machine learning models into end-user systems.
• Launch models into production systems and implement performance tracking and retraining workflows to maintain predictive accuracy.
• Stay informed on the latest developments in machine learning and apply new techniques to improve models.
• Thoroughly document processes, model designs, and performance metrics while effectively communicating findings and insights to stakeholders.

Requirements

• A Bachelor’s Degree in Computer Science, Data Science, Mathematics, or a related field.
• Experienced in developing Machine Learning solutions using Python, JavaScript and leveraging frameworks.
• Strong grasp of algorithms, statistics, and linear algebra, with the ability to apply these concepts to real-world problem-solving.
• Strong problem-solving skills complemented by practical experience in productionizing machine learning models.
• Proficiency in communicating technical ideas clearly to stakeholders with varying levels of technical expertise.
• Skilled in working across disciplines to align technical solutions with business objectives.
• Consistently stay informed on the latest trends and innovations in Machine Learning and Artificial Intelligence.

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Responsibilities

• Collect, clean, and manage data from various sources while maintaining databases and ensuring data integrity.
• Apply statistical techniques to analyze data sets and uncover trends, patterns, and actionable insights.
• Build, test, and refine machine learning models to achieve high accuracy and reliability.
• Create impactful data visualizations and communicate analytical results clearly to stakeholders.
• Work across departments to align data insights with business objectives and support strategic decision-making.
• Stay current with industry trends and emerging technologies while actively engaging in professional development and training.
• In-depth understanding of product lifecycle management, with a focus on analytical support and cross-functional collaboration at each stage.
• Using a range of programming languages to transform big data into data sets.

Requirements

• A Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
• Experience in data visualization and presenting data in graph or pictorial format.
• Proficiency in designing algorithms and using statistical and problem structuring methods.
• Ability to clean and validate data to ensure uniformity and accuracy.
• Proficiency in various programming languages such as Java, C, Python, R along with strong coding skills.
• Excellent problem-solving abilities.
• Strong communication skills to convey findings to non-technical stakeholders.
• Team collaboration and project management skills.
• Relevant work experience in data analysis or data science roles.
• Portfolio of projects or case studies demonstrating data science capabilities.