At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

At Boeing, we are all innovators on a mission to connect, protect, explore and inspire. From the seabed to outer space, you’ll learn and grow, contributing to work that shapes the world. Find your future with us.

The Boeing Company is looking for an experienced data scientist who can play lead role in developing and building next generation AI & ML products and services.

As part of the core data science group, candidate will lead project teams in developing innovative, reusable, and scalable solutions. This position will work effectively with cross-functional teams and technical leads to determine, define, and deploy analytics solutions to meet business goals.At Boeing, we are already making a difference across the industry using AI and Machine Learning to deliver superior product experience to our internal functions and commercial and government customers. We are expanding and growing in all areas in the frontier of the aerospace industry. We already have some of the best minds and talent in this field, and we’re looking for someone with applied experience in AI and ML (including Natural Language Processing, Deep Learning, Conversational A.I, and Computer Vision) to join our team in this lead data scientist role.

This role is based out of Bengaluru, Karnataka, INDIA.

Position Responsibilities:

• Primarily responsible for developing strategic vision and create data science development capability roadmap, work with business functions in defining and proposing data science solutions and lead the way to deliver the data science solutions working with global data science team
• Evaluate business objectives, determine stakeholder needs, and identify requirements. Choose best fit methods, define algorithms, validate, and deploy models to achieve business results. Perform necessary data preparation and enhancements to models.
• Candidate will interface directly with senior business leaders and stakeholders in order to architect and lead the development of advanced analytics solutions supporting Engineering, Manufacturing, Quality, and Safety.
• Candidate will work with data scientist leads across domains to ensure functional excellence in this technical field and will provide mentoring, technical leadership, and training to the data scientist community to accelerate and develop this talent base. In particular, candidate will provide thought leadership for machine learning and advanced analytics methods at Boeing and externally.
• Candidate will actively engage with stakeholders across the business to identify applications across the enterprise, beyond the initial use case, and lead the implementation of these applications to capture business value.
• Candidate will evaluate technologies, assist in identifying capabilities gaps, develop and teach best practices and technology standards, and work alongside the rest of the global data scientists and technical leads in Analytics organization.
• Candidate will have a stake in ensuring analytics solutions meet the business requirements and are implemented in a timely manner to validate business value.

ML/AI Models Development:

• Work effectively with cross-functional teams in the analysis of highly complex data sets using advanced analytics techniques such as machine learning, advanced statistical analysis, visual analysis, text analysis, mathematical optimization, and simulation. Identify modeling attributes and parameters.
• Follow best practices and standard processes for model validation and refinement as per business requirements.
• Assess performance of models and analysis and confirm that business objectives were met. Work with business unit stakeholders to develop and sustain analytics solutions.

Basic Qualifications (Required Skills & Experience):

• 7+ years of relevant work experience as Data Scientist in core areas of computer vision & image processing.
• Experience in various machine learning method such as regression, clustering, classification, decision trees, natural language processing, ensemble methods, SVM, deep learning, reinforcement learning, etc.
• Experience with machine learning related open source libraries including, but not limited to: SciKit-Learn, Keras, TensorFlow, Theano, etc.

Preferred Qualifications (Desired Skills/Experience):

• Experience in agile and product-oriented development.
• Up-to-date industry and experience in building ML models and bring in to full production use.
• Background in developing customer-facing experiences, a strong technical ability, excellent project management skills, great communication skills, and a motivation to achieve results in a fast paced production environment
• Experience training machine learning models in a cloud computing environment such as: Amazon Web Services, Google Cloud Platform, Microsoft Azure, etc.
• Programming experience in one or more of the following: C, C++, Java, Python, Scala.
• Experience with statistical software (e.g., R, MATLAB) and database languages (e.g., SQL).
• Experience and knowledge in DevOps for Data Science.
• Strong team player and passion to execute projects with a focus on customer and value.
• Knowledge of advance statistics (probability theory and distributions, descriptive statistics, matrix algebra, multivariate statistics, polynomial analysis, parametric and non-parametric methods, etc.)
• Bachelors or Master’s or Ph.D. in a computer science, economics, quantitative finance, operations research, statistics, mathematics, or related field of engineering).

Typical Education & Experience:

• Overall work experience of 14+ years post Bachelor’s degree or 12+ years post Master’s degree or 8+ post PhD is preferred but not required or relevant military experience

Relocation:

• This position offers relocation based on candidate eligibility

Vaccination Requirements:

Boeing is implementing new requirements for employees to be fully vaccinated from COVID-19 or have an approved reasonable accommodation based on local legislation in several countries. Please refer here for current vaccination and/or reasonable accommodation requirements, and timelines based on location.

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Data Scientist

Take your next career step at ABB with a global team that is energizing the transformation of society and industry to achieve a more productive, sustainable future. At ABB, we have the clear goal of driving diversity and inclusion across all dimensions: gender, LGBTQ+, abilities, ethnicity and generations. Together, we are embarking on a journey where each and every one of us, individually and collectively, welcomes and celebrates individual differences.

Global Business Services (GBS) is ABB’s shared services organization which delivers operational and expert services in Finance, Human Resources, Information Systems, Legal, Global Travel Services and external Customer Contact Centers. With employees based in five main hubs and front offices, GBS provides mainly Business services to ABB teams across the globe as well as supports with external customer inquiries. This is a Data Scientist role, reporting to the Head of Data Analytics in the Global Business Services which is in Bangalore, India. You as Data Scientist will be part of Global Advanced Analytics team and will be responsible for providing data insights and analytics to the business.

Your responsibilities

• Working with business managers to frame a problem, both mathematically and within the business context.
• Understanding business data and how to use it appropriately in data analysis.
• Performing exploratory data analysis to gain a deeper understanding of the problem.
• Constructing and fitting statistical, machine learning, or optimization models.
• Applying and developing appropriate advanced statistical, machine learning, and/or deep learning models and algorithms to classify structured or unstructured data.
• Collaborating with internal stakeholders to understand business challenges and developing analytical solutions to optimize business processes.
• Testing performance of machine learning and deep learning models.
• Performing analysis using industry leading text mining, data mining, and analytical tools and open source software.
• Presenting analytical approaches and results to internal audiences by synthesizing complex data and concepts into easy-to comprehend, comprehensive, and cohesive presentations.

Your background

• Bachelor’s/Master’s degree in Applied Statistics/Mathematics, Engineering, Operations Research or related field preferably from the top schools such IITs, NIT, DU, DSE, etc.
• 5-8 years of work experience in Advanced Analytics; 5+ years of experience with advanced statistical modeling and machine learning.
• Highly proficient with analytical/predictive modeling software. (Python/R/SAS or similar). Strong understanding and experience with predictive / analytical modeling techniques, theories, principles, and practices.
• Experience with data preparation, rationalization, and processing on big data; Experience in Natural Language Processing (NLP) and Natural Language Understanding (NLU).
• Big data technology experience (Spark, Hadoop, Hive SQL). Experience with Hadoop and Hive tables. Experience with dealing with both structured and unstructured data.
• Ability to effectively work with a team of data scientists exchanging knowledge. Must have significant experience in making presentations for senior leadership and in storytelling.
• Must be a self-starter/strong drive for results and willing to work in a setup which is in inception stage. Willingness to learn new skills and methods as needed – continuous learning mindset.

More about us

We look forward to receiving your application (documents submitted in English are appreciated). If you want to discover more about ABB, take another look at our website www.abb.com. It has come to our attention that the name of ABB is being used for asking candidates to make payments for job opportunities (interviews, offers). Please be advised that ABB makes no such requests. All our open positions are made available on our career portal for all fitting the criteria to apply. ABB does not charge any fee whatsoever for recruitment process. Please do not make payments to any individuals / entities in connection to recruitment with ABB, even if it is claimed that the money is refundable. ABB is not liable for such transactions. For current open positions you can visit our career website https://global.abb/group/en/careers and apply. Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.

Data Science Advisor

We are looking for a Data Scientist to join us in Performance Analytics Group to drive development, scaling and execution of ML/AI models for Run The Business processes WW.

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

Join us as a Advisor on our Data Science team in Bangalore to do the best work of your career and make a profound social impact.

What you’ll achieve
As a Data Science Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.

You will:

• Design, develop and program methods, processes and systems to consolidate and analyze unstructured data from multiple sources to generate actionable insights and solutions.

• Produce actionable and compelling recommendations by interpreting, exploring, identifying and communicating insights discovered from complex data sets.

• Collects and analyzes data required for projects including web scrapping and external vendor research. Summarizes, creates, and distributes reports as needed.

• Develop an understanding of Dell’s strategic business objectives and business unit operations.

• Support the full project life cycle from ideation through launch. Work cross-functionally to gain buy-in, support, and assistance.

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

• 5 to 8 years of related experience with in SQL, Python, R, having Macro, C, C++, Visual Basic Programming is a plus

• Possess appropriate mathematical knowledge and expertise with statistical analysis (Computer Science, Applied Math and Statistics, Computer Engineering)

• Solid knowledge of job associated programming languages SQL server, R/Python/Matlab, Tableau, MS Office products

• Knowledge of Big Data is a plus

• Excellent communication and analytical skills

• Attention to details and ability to work with ambiguity

Desirable Requirements

• Ability to work in a team environment

• Curiosity and passion for technology

Here’s our story; now tell us yours

Dell Technologies helps organizations and individuals build a brighter digital tomorrow. Our company is made up of more than 150,000 people, located in over 180 locations around the world. We’re proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.

What’s most important to us is that you are respected, feel like you can be yourself and have the opportunity to do the best work of your lifewhile still having a life. We offer excellent benefits, bonus programs, flexible work arrangements, a variety of career development opportunities, employee resource groups, and much more.

We started with computers, but we didn’t stop there. We are helping customers move into the future with multi-cloud, AI and machine learning through the most innovative technology and services portfolio for the data era. Join us and become a part of what’s next in technology, starting today.

You can also learn more about us by reading our latest Diversity and Inclusion Report and our plan to make the world a better place by 2030 here.

Application closing date: 14 June 2021

Dell is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Dell are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Dell will not tolerate discrimination or harassment based on any of these characteristics. Dell encourages applicants of all ages. Read the full Equal Employment Opportunity Policy here.