Qureos Mentor

Ford Motor Company

<div><p>The <b>Global Data Insights and Analytics (GDI&amp;A) </b>department is looking for qualified people who can develop scalable solutions to complex real-world problems using AI, Machine Learning, Cloud, Advanced Analytics. The goal of GDI&amp;A is to drive evidence-based decision making by providing insights from data. Applications for GDI&amp;A include, but are not limited to, Customer Experience, Analytics, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics.
</p><p><b>Ford Customer Service Division </b>, within Ford, is committed to provide our customers the &ldquo;Always On&rdquo; experience and our mission is to get our customers back on the road, in the shortest possible time. FCSD is a true one-stop shop, offering comprehensive Diagnostics, Repair &amp; Service Capabilities for a full portfolio of Electrified, Hybrid and Internal combustion vehicles globally.
</p><div>Build analytical solutions that support
</div><div>&bull; Dealers to Diagnose, Repair &amp; Service our vehicles
</div><div>&bull; Customers for a seamless Service experience
</div><div>&bull; A highly Profitable, Critical and Complex Parts &amp; Service business<br>
</div><div></div><div>A Data Scientist who can enable FCSD-Service Engineering operations team by building and delivering impactful analytical products adhering to the best practices in AI/ML space exhibiting Ford OS behaviours will certainly be a great fit for this role. This role will be an individual contributor role. which requires a strong foundation in data science methodologies, technical skills, and the ability to collaborate effectively with various stakeholders to translate business needs into solvable data science problems. You will play a crucial role in quantifiable contributions to business goals through models, experiments, and insights, while maintaining high standards of quality.</div></div><p></p>
<br><div><ul><li><p>BE, B.Tech, M.S./Masters in data science, Statistics, Computer Science, Applied Mathematics or a related engineering discipline
</p></li><li><p>Minimum 3 years of hands-on experience in building end to end AI/ML based solutions for solving business problems
</p></li><li><p>Strong proficiency in Python, data science libraries ((e.g., Scikit-learn, XGBoost, TensorFlow/PyTorch basics), SQL
</p></li><li><p>Demonstrated technical skills in Data Wrangling, Data Visualization, Statistical Analysis, Programming, Machine Learning
</p></li><li>Strong understanding of core data science concepts, including statistics, probability, and machine learning basics.
</li><li><p>Experience working with Google Cloud Platform (GCP) for building data pipelines, AI models, and model deployment (BigQuery, VertexAI, Dataform, API)</p></li></ul></div><p></p>
<br><div><ul><li><p>Build an in-depth understanding of the problem domain and available data sources
</p></li><li><p>Extract and Analyze data from GCP tables, data warehouse/data marts to discover insights, trends and patterns relevant to the business problem
</p></li><li>Support existing analytical products, LLM model and associated pipelines. Propose improvements to existing models or analyses when needed.
</li><li><p>AI first approach, artificial intelligence at the core of a business's operations, products, and strategy
</p></li><li><p>Closely collaborate with business partners, data engineers and product owner
</p></li><li><p>Build analytical solutions to drive business value ensuring data-driven decisions
</p></li><li><p>Communicate insights and results to business teams, senior leadership through presentations. Collaborate across teams as needed and share findings effectively to varied audiences.
</p></li><li><p>Design and implement scalable analytical solutions (Dashboards, statistical models, AI/ML models) in cloud environment.
</p></li><li><p>Train, test and operationalize models for business use cases; integrates models with upstream and downstream business processes.
</p></li><li>Produce clear documentation for data sources, transformations, assumptions, analyses, models, and experiments.
</li><li><p>Work with business partners through problem formulation, data management, solutions development and operationalization<br>
</p></li></ul><p></p><p>Technical Skills:
</p><ul><li><p>Strong Proficiency in <b>Python </b>, Statistics, <b>SQL </b>, Visualization
</p></li><li><p>AI, LLM framework, <b>Machine Learning </b>frameworks
</p></li><li><p>Working knowledge in GCP cloud environment
</p></li><li><p>Nice to have: API Development, Familiarity with Agile development cycle
</p></li></ul><p>Functional Skills:
</p><ul><li><p>Problem Formulation &amp; Problem-Solving Skills
</p></li><li><p>Business Acumen
</p></li><li><p>Ownership mindset, Proactive learner, Strong bias for action
</p></li><li><p>Comfortable working in an environment where problems are not always well-defined
</p></li><li><p>Strong interpersonal skills with ability to communicate complex topics to business, leaders, peers in a simple and clear manner</p></li></ul></div>

Data Scientist

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Ford Motor Company

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Data Scientist