Data Scientist
Waltham, MA

Job Description

The Company

Hitachi Vantara combines technology, intellectual property, and industry knowledge to deliver data-managing solutions that help enterprises improve their customers' experiences, develop new revenue streams, and lower the costs of business. Hitachi Vantara elevates your innovation advantage by combining IT, operational technology (OT) and domain expertise. Join our team and our employee-focused culture and help drive our customers' data to meaningful customer outcomes.

The Role

We are looking for an experienced, hands-on Data Scientist to join our Analytics team within the IoT & Analytics CTO office of Hitachi Vantara North America. The Data Scientist will be responsible for understanding complex business problems in the fields of Big Data, Analytics, AI, ML, DL, and IoT, formulating new solutions, wrangling structured and unstructured data, creating descriptive, exploration, predictive, prescriptive models and convert model into automation execution, diagnosing toward analytics products. Planning evaluation, test, and deployment with end-to-end solutions mindset across multiple industries. The role requires an individual to work with co-creation, design thinking. This individual will create intelligent products with application/product team. This individual would embrace new technologies and deliver smart solutions and services, collaborate in physical or virtual team(s) format, share their knowledge and collectively grow capability, skills, and knowledge in team and DS community. The role will based in one of our major office locations or remote home office with frequent travel to clients.

Responsibilities

* Traveling to client sites and different office sites as required
* Leading junior data scientist
* Contributing to the data science community
* Coding procedures and data pipes for processing and analysis of structured and unstructured data in rest and data in motion using SQL, HDFS, Solr, ELK, Storm, Hive, HBase, Impala, Spark, and new evolving tools and technologies in data ingestion, storage, and processing data science models (classification, regression, recommendation systems, sentiment analysis, neural network, deep learning, …etc.)
* Developing, coding, testing, evaluating and deploying using Spark, Python, Tensorflow, R, and new tools and technologies in data science.
* Building data visualizations, reports, and presentations
* Working with evolving Hadoop and Spark technologies
* Working with evolving Google Cloud and Amazon Web Services (AWS) cloud technologies
* Delivering solutions to customers including vision workshop, Proof of Concepts / Proof of Value and production implementation.
* Working in a collaborative and agile application and data science team environment with changing and ambiguous requirements
* Handling a variety of responsibilities under pressure and functioning independently
* Communicating with confidence and integrity with clients and peers
* Conveying complex technical concepts to business users
* Rapidly learning and implementing new technologies and tools
* Identifying, developing and evolving repeatable analytics solutions aligned to market/customer needs

Qualifications

* Bachelors degree or Masters degree from an accredited college/university in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields, with a minimum of 3-5 years of relevant experience
* Proven professional data science experience, e.g., machine learning, natural language processing, algorithms and statistical modeling, such as classification, collaborative filtering, association rules, sentiment analysis, time-series analysis, regression, statistical inference, etc.
* Cross-industry knowledge in the areas of Big Data, Analytics, and IoT
* Proven experience working with big data technologies, processing and analyzing structured and unstructured data in Big Data environments using Hadoop, Spark and/or cloud technologies
* Experience in delivering descriptive, exploration, predictive, prescriptive analytics and converge into automation in Big Data diagnostic environment:
* SQL coding skills
* Python coding skills
* Spark (Scala or Java) coding skills are highly desired
* Hive coding mandatory, HBase, Impala coding skills
* UNIX / Linux shell scripting skills
* Experience in BI reporting and data visualization
* One or more of Tableau, QlikView, Microsoft Power BI or other big data visualization tools is mandatory
* The ability to communicate and present both orally and in writing, and comfortable with ambiguity, uncertainty, and change
* High degree of drive, energy, self-confidence, commitment and flexibility appropriate to a client-facing environment



We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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