Data Scientists

6 months ago

Chennai Tamil Nadu, India Ford Motor Company Full time

**What you’ll be able to do**:

- Acquire deep understanding of the business problems and translate them into appropriate mathematical representations
- Work with large, complex data sets using tools such as SQL, Google Cloud Services, Hadoop, Alteryx, Python
- Develop and deliver business solutions using skills such as data acquisition, data engineering, programming, and visualization.
- Design intuitive visual interfaces for users to interact with the data using dashboard and programming software
- Develop and deliver analytic products using skills such as statistical analysis, machine learning, algorithm design, and interface development
- Interpret modeling results and communicate them to technical and non-technical audiences, cross-functional teams and leadership
- Interact and work cross-functionally with a wide variety of teams
- Develop trust with stakeholders and peers by delivering results on time
- Ensure overall quality of the data & solutions throughout the analytic development process
- Work with business teams on change management
- Provide training and maintenance of implemented tools to business partners
- Collect feedback from business users and continuously improve analytic products

**The minimum requirements we seek**:

- Bachelor’s degree in Statistics, Data Science, Computer Science or a related quantitative discipline
- One year of experience or other significant, independent project experience using at least one statistical software package such as R or Python,
- 3+ months of experience using SQL for acquiring and transforming data
- 3+ months of experience with real-world data, data cleaning, data collection or other data wrangling challenges

**Our preferred requirements**:

- Masters or PhD in quantitative field, such as (but not limited to) Statistics, Computer Science, Economics, Mathematics, Data Science, Operations Research
- 2+ years of work experience with Python, SQL, and/or visualization/dashboard tools (such as Tableau, PowerBI or Qliksense)
- 2+ years of work experience in data mining, statistical analysis, modeling, optimization or similar analytics
- Comfortable working in an environment where problems are not always well-defined
- Inquisitive, proactive, and interested in learning new tools and techniques
- Proven quantitative modeling and statistical analysis skills
- Strong oral, written and interpersonal communication skills
- Ability to effectively advocate technical solutions to peer, management and business audiences
- Well-organized, a self-starter, independent and ready to work with mínimal supervision
- A respectful and committed teammate, willing to excel and work with talented people
- Work experience in automotive industry is a big plus, as is experience in a procurement, logistics or program management function
- 3-4 years of industry experience
- Bachelor's in Engineering/ M.S. or Ph.D. in Computer Science, Operational research, Statistics, Applied mathematics, or in a related field
- Experience with SQL database
- Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering, etc.,)
- Excellent problem solving, communication, and data presentation skills
- Flexibility to work on multiple projects/domains/tools
- Collaborative skills to work with business teams.
- Comfort level to code in Tensorflow and/or Pytorch, Numpy and Pandas, Scikit-learn
- Comfort level to use two/more of open source NLP modules like SpaCy, HuggingFace, TorchText, fastai.text, farm-haystack, and others
- Understanding the Business problem and formulating the analytical problem
- Develop NLP models to process text in different languages (German, Chinese, Spanish, Portuguese and more)
- Speech to text translation for Video/Audio NLP Analysis
- Train, tune, validate, and monitor predictive models
- Analyze and extract relevant information from large amounts of Ford’s historical business data, both in structured and unstructured formats
- Establish scalable, efficient, automated processes for large scale data analyses
- Develop and deploy Data Science models on cloud platforms like GCP, Azure, AWS.

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