Responsibilities:

• Build machine learning models solving business problems at a scale in an accurate fashion.
• Prepare data required to feed machine learning models.
• Assemble large, complex data sets from client and external sources that meet functional business requirements.
• Ship models into production and follow-up with performances and take corrective actions if required.
• Communicate machine learning outcome and clearly convey the added value to the business.
• Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Breakdown complex problems into smaller pieces and plan accordingly to accurately make project timeline estimates.
• Technical know-how: Our Data Scientists have a broad knowledge of a variety of data and mathematical solutions.
• Work with management to get stakeholder feedback, get alignment on approaches, deliverables, and roadmaps
• Perform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform.
• Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making
• Train, validate, and cross-validate predictive models and machine learning algorithms using state of the art Data Science techniques and tools
• Document predictive models/machine learning results that can be incorporated into client-deliverable documentation
• Assist client to deploy models and algorithms within their own architecture

Requirement:

• Must have hands-on experience in customer centric solutions production solutions analyzing customer behavior and /or physiological metrics.
• Must have hands-on experience in building ML production systems making recommendation to end-users.
• Must have video processing / facial recognition experience.
• Proven ability to deploy machine learning models from the research environment to production via procedural or pipeline approaches.
• Strong problem-solving skills; ability to pivot complex data to answer business questions.
• Good communication and presentation skills.
• Nice to have hands-on LLM and prompt engineering experience
• Nice to have recommendation engine / Chatbots / Fraud detection
• Nice to have experience in causal inference
• Nice to have ability to visualize data for influencing (Qlik, PowerBI, Tableau)
• Good appreciation for the Agile/Scrum methodology

Qualifications:

• MS degree in Computer science, Engineering, Applied Mathematics or a related quantitative field
• 5+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning including time series forecasting, regression and classification, and video recognition
• Experience with one or more Advanced Data Science software languages (Python, SQL, Spark)
• Hands-on experience in Cloud technologies (AWS, Azure, GCP), preferably with Databricks and data lakes
• Experience with SQL and relational databases, query authoring and tuning as well as working familiarity with a variety of databases topologies

Apply to career@avrioc.com