Data Scientist

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Date: 25-Feb-2021

Location: Bangalore, KA, India

Company: Alstom

Req ID:73477 

We create smart innovations to meet the mobility challenges of today and tomorrow. We design and manufacture a complete range of transportation systems, from high-speed trains to electric buses and driverless trains, as well as infrastructure, signalling and digital mobility solutions. Joining us means joining a truly global community of more than 36 300 people dedicated to solving real-world mobility challenges and achieving international projects with sustainable local impact.  

OVERALL PURPOSE OF THE ROLE

 

As a Data Scientist/Data Science Specialist at Alstom, you will help transform our data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating trends or patterns, you will work to solve real world problems.

 

Empowered by data science, we build cognitive and analytic applications in catalysing Alstom's transformation journey as a premier analytics enterprise.  Adopting Kaizen principles, our team include data scientists, data engineers, as well as automations, operations, and process experts. We want the brightest minds doing work that inspires, in a fast-changing environment where growth is encouraged. You get to discover their potential, so they are supported to build breakthroughs that help our business succeed. We are a diverse team with people who want their ideas to matter. Join us — you’ll be proud to be part of our team.

 

STRUCTURE, REPORTING, NETWORKS & LINKS      

Organization Structure

CITO

|-- VP Business Solutions & Innovation

      |-- Digital Shared Services Director

           |--Platform Manager

                |-- Delivery Manager

                   |--Data Science Specialist

 

Organizational Reporting

  • Reports to Delivery Manager

       

Networks & Links

Internally

  • Applications Owners
  • Application Architects
  • Business Stakeholders
  • Digital Platforms
  • Digital Incubation team

Externally

  • Third-party technology providers
  • Strategic Partners
  • Peer companies

Location

  • Position will be based in Bangalore
  • Willing to travel occasionally for onsite meetings and team workshops as required

 

RESPONSIBILITIES

 

The candidate primary focus will be in applying data mining techniques, doing statistical analysis, building high quality prediction systems by using large data sets.  Candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams.

 

Collaboration & team efforts:

  • You will lead in designing and developing systems and processes to consolidate and analyse both structured and unstructured data from diverse data sources to generate actionable insights
  • Collaborate with Incubation & other analytics team along with subject matter experts (SMEs) to drive and operationalize analytical and cognitive prototypes
  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
  • Conduct research from which you'll develop prototypes and proof of concepts
  • Look for opportunities to use insights/datasets/code/models across other functions in the organization (for example in the HR and marketing departments)
  • Maintain clear and coherent communication, both verbal and written, to understand data needs and report results.
  • Create clear reports that tell compelling stories about how customers or clients work with the business

 

Technical efforts:

  • Identify new data sources for generating meaningful insights from multiple sources; interpret and communicate insights and findings from analysis and experiments to Alstom teams and stakeholders
  • Develop models and perform statistical analysis to identify key areas
  • Design and implement users tracking and feedback mechanisms to capture actions and analyse the impact on business outcomes, following implementation and deployment of analytics and cognitive solutions
  • Design, build, test and deploy scalable and efficient ecosystem components->
    • Use machine learning tools and statistical techniques to produce solutions to problems
    • Test data mining models to select the most appropriate ones for use on a project
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organization
  • Horizon scan to stay up to date with the latest technology, techniques and methods

 

TECHNICAL COMPETENCIES & EXPERIENCE 

To be considered for this role, candidate need to demonstrate the following skills experience and attributes:

  • A Degree in a quantitative field (Statistics, Mathematics, Operations Research, Economics, Bioinformatics, Computer Science, etc). A postgraduate degree involving research in quantitative field will be a plus.
  • Total 7-10 years of experience. 4-5 years of experience in working with data sets to build statistical models
  • Strong statistical skills such as in probability theories, descriptive statistics, hypothesis testing, regression, etc
  • Excellent understanding of machine learning techniques and algorithms such as Logistic Regression, Decision Trees, Random Forrest, Support Vector Machines, and Clustering
  • Expertise in various data science methods (i.e. CRISP-DM, data understanding & preparation, feature engineering, as well as model training, evaluation and validation)
  • Experience with common data science languages and libraries such as R, Python (NumPy, Pandas, Scikit), SQL, noSQL, Scala, Weka, MatLab, etc
  • Experience with data visualization techniques and tools such as Qlik, PowerBI, Tableau etc
  • Experience in SQL and No-SQL querying and concepts
  • Experience with NoSQL databases such as Cloudant, MongoDB, Cassandra, HBase 
  • Experience with distributed computing tools like the Hadoop stack, Spark, Pig, Hive etc. 
  • Experience working with Linux environment, command line tools and scripting languages such as Bash
  • Experience with Deep Learning frameworks such as TensorFlow, Caffe, CNTK, Torch, DL4J, etc
  • Knowledge in data mining and data engineering techniques
  • Clear understanding on the mathematics and statistical knowledge behind algorithms
  • Advanced pattern recognition and predictive modeling experience
  • Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects
  • Great communication (oral and written) skills and strong team player. Be fluent in English
  • Ability to learn new techniques and thrive in fast-changing environment
  • Ability to translate complex and abstract problems into technical requirement.
  • Have experience in working with remote teams
  • Able to demonstrate the ability to use this technical knowledge in collaboration with other departments (engineering, procurement, projects)
  • Have a strong sense of customer service and satisfaction
  • An entrepreneurial mind set willing to think out of the box - Intellectual Curiosity & creativity.
  • Take the lead and be autonomous. Having solution orientated mindset and be pragmatic in execution.

 

Good to Have

  1. Knowledge / Experience on any one of the cloud environments : AWS, Azure, Google
  2. Knowledge / Experience on any Data Science Platforms: DataIku (preferred), KNIME, Azure ML Studio, Google Analytics
  3. Knowledge / Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc

An agile, inclusive and responsible culture is the foundation of our company where diverse people are offered excellent opportunities to grow, learn and advance in their careers.  We are committed to encouraging our employees to reach their full potential, while valuing and respecting them as individuals.   

 

 

Job Type:​Experienced​


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