Company: Weatherford
Skills: Architect
Experience: 5 + Years
Education: Bachelors/3-5 yr Degree
Location: Mumbai, Maharashtra, India


Overview

Weatherford is the leading wellbore and production solutions company. Operating in more than 75 countries, the Company answers the challenges of the energy industry with its global talent network of approximately 17,200 team members and 390 locations, which include service, research and development, training, and manufacturing facilities. Visit weatherford.com for more information or connect on LinkedIn , Facebook , Twitter , Instagram , or YouTube .

We're looking to the future with a clear vision and a strong mission.

Our goal is to address the headwinds facing the industry, revolutionize the oilfield with digital technology, integrated solutions, and world-class talent.

We accept every challenge for the benefit of our Company, our industry, and the world. Our technology leadership delivers solutions that rise to every occasion, supply the best outcomes in each operation, and give power to all customers.

Weatherford offers competitive compensation, a comprehensive benefits program and opportunities for on-going training and career development. VEVRAA Federal Contractor - Priority Referral Requested.

Weatherford is an Equal Opportunity Employer Females/ Minorities/ Veterans/Disabled and gives consideration for employment to qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Responsibilities

Job Purpose

Weatherford's Production business is seeking an Analytics Solution Architect who is passionate about data and wants to apply machine learning techniques to solve problems for our customers. The Analytics Solution Architect will work on all aspects of the design, development and delivery of machine learning enabled solutions including problem definition, data acquisition, data exploration, feature engineering, experimenting with various ML algorithms, evaluating metrics, deploying models and iteratively improving the total solution. He or she will work with data from diverse, unstructured formats including numerical, time series, text, and image.
This person is expected to be proficient in the exploration and understanding of structured and unstructured data, machine learning techniques, statistical modeling methods, predictive analytics, anomaly detection, and supervised and unsupervised learning. The successful candidate will work with stakeholders to leverage data to solve critical business problems in the oil & gas production domain.

Duties & Responsibilities

•Help to define the organization's analytics strategy.
•Play a key role in the definition of the architecture and design of both cloud-hosted and on-premise enterprise and edge analytics solutions.
•Identify and implement end-to-end analytic solutions involving cloud, open source, and AI technologies.
•Work with others to formulate meaningful hypotheses that are relevant to the business objectives.
•Work with Product Management, Services, customers, and data science experts to apply knowledge of data science to develop new and complex analytics solutions of value to customers and the business.
•Design, train, and evaluate models for use in production environments.
•Utilize data from databases, historians, and/or data lakes.
•Rigorously build, analyze and compare machine learning or statistical models; there is a strong emphasis on programming using the most popular machine learning languages such as Python.
•Work with application developers to develop data-analytics products that are deployed to end-users as part of packaged solutions.
•Visualize and report findings of deployed data analytics solutions to provide insights to the organization and our customers.
•Deploy machine learning models and integrate model predictions in business environments.
•Set up infrastructure for machine learning and model deployment.
•Deploy CI/CD framework to frequently deliver code/features to production

Qualifications

Experience & Education

Required:

•B.S. or higher in Engineering, Mathematics, Statistics or Computer Science with significant experience in data analytics. Overall experience level should be around 5-10 years range.
•Experience developing, productizing, and deploying an ML analytics solution.

Preferred:
•MS degree with 7+ years' experience is preferred.

Knowledge, Skills, & Ability

Required:

•Expertise in predictive modeling, machine learning, and statistics.
•Software development skills in one or more high level languages (Python/Java/R/Scala).
•Experience using one or more of the following common ML software packages: scikit-learn, TensorFlow, NumPy, pandas, jupyter.
•Well-versed in machine learning algorithms and their suitability for solving various problems: Regression, Bayesian, Support Vector Machines, Decision Trees, Random Forest, Clustering, Neural Networks.
•Experience in using SQL/No SQL databases is preferred
•Experience working in Linux is an advantage
•Experience with Big Data technologies is preferred (Hadoop, Hive, Spark, Cassandra).
•Experience with building and deploying data pipelines
•Good critical thinking, technical, data collection and user interviewing skills.
•Ability to work as a team member in a fast-paced environment.
•Experience with Agile software development processes is preferred.
•Experience with Cloud service offerings from AWS, Azure or GCP is a plus.

Preferred:

•Knowledge of DataOps.
•Knowledge of data versioning tools such as git, DVC
•Knowledge of ML environments such as MLflow, databricks
•Knowledge of ML deployment tools such as Kubeflow, Kubernetes