Your primary responsibility will be to lead various projects, from initial planning to final execution, using data mining techniques and machine learning modeling to help make informed and strategic decisions. You will also be responsible for automating and visualizing data into dashboards to improve efficiency and real-time decision making.

What you'll be able to do:

• Critical Thinking: Able to influence the strategic direction of the company by finding opportunities in large, rich data sets and crafting and implementing data-driven strategies that fuel growth including cost savings, revenue, and profit.

• Modeling: Assessments, and evaluating impacts of missing/unusable data, design and select features, develop, and implement statistical/predictive models using advanced algorithms on diverse sources of data and testing and validation of models, such as forecasting, natural language processing, pattern recognition, machine vision, supervised and unsupervised classification, decision trees, neural networks, etc.

• Analytics: Leverage rigorous analytical and statistical techniques to identify trends and relationships between different components of data, draw appropriate conclusions and translate analytical findings and recommendations into business strategies or engineering decisions - with statistical confidence.

• Data Engineering: Experience with crafting ETL processes to source and link data in preparation for Model/Algorithm development. This includes domain expertise of data sets in the environment, third-party data evaluations, data quality.

• Visualization: Build visualizations to connect disparate data, find patterns, and tell engaging stories. This includes both scientific visualization as well as geographic using applications such as QlikSense, PowerBI, Tableu, Looker Studio, etc.

• Technical leadership: Help to grow a team of data scientists and analysts through project leadership such as technical coaching, mentorship, and establish team-wide best practices.

Minimum Requirements we seek:

• Bachelor or Master’s degree in Computer Science, Mathematics, Physics or related field or a combination of education and equivalent experience.

• 1+ years of experience of practicing statistical methods and their accurate application e.g. ANOVA, principal component analysis, correspondence analysis, k-means clustering, factor analysis, multi-variate analysis, Neural Networks, causal inference, Gaussian regression, Machine Learning models etc.

• 3+ years’ experience with Alteryx, SQL, Python, Cloud (preferably GCP).

• 3+ years’ Experience with big data technologies such as Azure Data Lake, GCP Big Query, Databricks, Spark, Hadoop, Kafka, SQL and NO-SQL databases, etc.

Our Preferred Requirements:

• PhD degree in Computer Science, Mathematics, Physics, Electrical Engineering or related field or a combination of education and equivalent experience.

• Demonstrated successful application of analytical methods and machine learning techniques with measurable impact on product/design/business/strategy

• Expertise in open-source data science technologies such as Python, R, Spark, Hadoop, etc. acquired through college course work, online training and certification or project development.

• Demonstrated expertise in commercial tools such as Alteryx, Qlikview / Qliksense, Tableau or PowerBI acquired through training and/or implementation on projects

• Familiarity working with Automotive OEM/ Ford connected vehicle data & relevant infrastructure.

• Self-motivated with excellent verbal and written skills.

• Highly credible in organizational, time management, decision making and problem-solving skills.

• Familiarity working with big data to develop scalable, production-ready solutions.

Requisition ID : 29713