Data Scientist Leader

1 day ago

Chandigarh, Chandigarh, India Oceaneering Full time

Job Summary

Oceaneering is seeking a highly skilled Data Scientist Leader to join our team. As a key member of our data science team, you will be responsible for developing and implementing machine learning and deep learning solutions to drive business growth and improve customer satisfaction.

Key Responsibilities:

  • Lead and supervise a team of data scientists to develop and implement machine learning and deep learning solutions.
  • Work closely with cross-functional teams to identify business opportunities and develop data-driven solutions.
  • Design and 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.
  • Prepare data for predictive and prescriptive modeling.
  • Architect solutions by selection of appropriate technology and components.
  • Determine the technical direction and strategy for solving complex, significant, or major issues.
  • Plan and evaluate architectural design and identify technical risks and associated ways to mitigate those risks.
  • Prepare design proposals to reflect cost, schedule, and technical approaches.
  • Recommend 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.
  • 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 that includes 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.

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.

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