Data Scientist Lead

5 days ago

Chandigarh, Chandigarh, India Oceaneering Full time

Job Summary

Oceaneering is seeking a highly skilled Principal Data Scientist to lead the development of Machine Learning and/or Deep Learning based integrated solutions that address customer needs.

The ideal candidate will have a strong background in Data Engineering tools like Python/C#, R, Apache Spark, Scala, and experience in handling large amounts of data, including texts, shapes, sounds, images, and/or videos.

Key Responsibilities:

  • Lead and supervise a team of moderately experienced engineers on product/prototype design & development assignments or applications.
  • Work both independently and collaboratively to develop custom data models and algorithms to apply on data sets that will be deployed in existing and new products.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Build data models and organize structured and unstructured data to interpret solutions.
  • Prepares data for predictive and prescriptive modeling.
  • Architect solutions by selection of appropriate technology and components.
  • Determines the technical direction and strategy for solving complex, significant, or major issues.
  • Plans and evaluates architectural design and identifies technical risks and associated ways to mitigate those risks.
  • Prepares design proposals to reflect cost, schedule, and technical approaches.
  • Recommends test control, strategies, apparatus, and equipment.
  • Develop, construct, test, and maintain architectures.
  • Lead research activities for ongoing government and commercial projects and products.
  • Collaborate on proposals, grants, and publications in algorithm development.
  • Collect data as warranted to support the algorithm development efforts.
  • Work directly with software engineers to implement algorithms into commercial software products.
  • Work with third parties to utilize off-the-shelf industrial solutions.
  • Algorithm development on key research areas based on client's technical problem.

Requirements:

  • Bachelor's degree in Electronics and Electrical Engineering (or related field) with eight or more years of past experience working on Machine Learning and Deep Learning based projects.
  • OR Master's degree in Data Science (or related field) with six or more years of past experience working on Machine Learning and Deep Learning based projects.

Preferred Qualifications:

  • Strong knowledge of advanced statistical functions: histograms and distributions, Regression studies, scenario analysis, etc.
  • Proficient in Object Oriented Analysis, Design, and Programming.
  • Strong background in Data Engineering tools like Python/C#, R, Apache Spark, Scala, etc.
  • Prior experience in handling large amounts of data, including texts, shapes, sounds, images, and/or videos.
  • Knowledge of SaaS Platforms like Microsoft Fabric, Databricks, Snowflake, h2o, etc.
  • Background experience of working on cloud platforms like Azure (ML) or AWS (SageMaker), or GCP (Vertex), etc.
  • Proficient in querying SQL and NoSQL databases.
  • Hands-on experience with various databases like MySQL/PostgreSQL/Oracle, MongoDB, InfluxDB, TimescaleDB, neo4j, Arango, Redis, Cassandra, etc.
  • Prior experience with at least one probabilistic/statistical ambiguity resolution algorithm.
  • Proficient in Windows and Linux Operating Systems.
  • Basic understanding of ML frameworks like PyTorch and TensorFlow.
  • Basic understanding of IoT protocols like Kafka, MQTT, or RabbitMQ.
  • Prior experience with big data platforms like Hadoop, Apache Spark, or Hive is a plus.

Knowledge, Skills, Abilities, and Other Characteristics:

  • Ability to analyze situations accurately, utilizing a variety of analytical techniques in order to make well-informed decisions.
  • Ability to effectively prioritize and execute tasks in a high-pressure environment.
  • Skill to gather, analyze, and interpret data.
  • Ability to determine and meet customer needs.
  • Ensures that others involved in a project or effort are kept informed about developments and plans.
  • Knowledge of communication styles and techniques.
  • Ability to establish and maintain cooperative working relationships.
  • Skill to prioritize workflow in a changing work environment.
  • Knowledge of applicable data privacy practices and laws.
  • Strong analytical and problem-solving skills.

Working Conditions:

This position is considered OFFICE WORK which is characterized as follows:

  • Almost exclusively indoors during the day and occasionally at night.
  • Occasional exposure to airborne dust in the work place.
  • Work surface is stable (flat).

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

This position is considered LIGHT work.

Career Development:

In addition, we make a priority of providing learning and development opportunities to enable employees to achieve their potential and take charge of their future. As well as developing employees in a specific role, we are committed to lifelong learning and ongoing education, including developing people skills and identifying future supervisors and managers. Every month, hundreds of employees are provided training, including HSE awareness, apprenticeships, entry and advanced level technical courses, management development seminars, and leadership and supervisory training.

We have a strong ethos of internal promotion. We can offer long-term employment and career advancement across countries and continents.

Working at Oceaneering means that if you have the ability, drive, and ambition to take charge of your future-you will be supported to do so and the possibilities are endless.

Equal Opportunity/Inclusion:

Oceaneering's policy is to provide equal employment opportunity to all applicants.

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