Data Science Engineer

2 weeks ago

Hyderabad, Telangana, India JMJ CONSULTANTS Full time
Our client is and R&D Services company head-quarterd in USA having presence in seven countries in the world. Our client is looking for a Data Scientist for Hyderabad location.

Overview :


As a Data Science Engineer, you will be an integral part of our cutting-edge technology team, responsible for designing, implementing, and maintaining data pipelines and machine learning models.

This role is pivotal in driving data-informed decision-making across our organization, enhancing our products, and optimizing business processes.

Key Responsibilities :

Data Pipeline Development :

  • Design, build, and maintain scalable, efficient, and reliable data pipelines to ingest, transform, and store large volumes of structured and unstructured data.
  • Collaborate with crossfunctional teams to gather requirements, understand data sources, and implement robust ETL (Extract, Transform, Load) processes.

Machine Learning Model Development :

  • Develop and deploy machine learning models for various applications such as predictive analytics, recommendation systems, and anomaly detection.
  • Utilize techniques in statistical analysis, data mining, and machine learning to extract insights and solve complex business problems.

Data Processing and Analysis :

  • Conduct exploratory data analysis to discover trends, patterns, and relationships in the data.
  • Perform data cleaning, feature engineering, and statistical analysis to prepare data for modelling.

Model Evaluation and Optimization :

  • Evaluate model performance using metrics such as accuracy, precision, recall, and AUC-ROC.
  • Implement model tuning and optimization techniques to improve performance and efficiency.

Collaboration and Communication :

  • Collaborate closely with data scientists, software engineers, and business stakeholders to understand requirements and deliver solutions.
  • Communicate findings and insights effectively to both technical and nontechnical audiences through reports, presentations, and dashboards.

Infrastructure and Tools :

  • Work with cloudbased platforms such as AWS, Azure, or Google Cloud for data storage, processing, and deployment.
  • Utilize tools and frameworks such as Apache Spark, TensorFlow, PyTorch, and scikitlearn for model development and deployment.

Continuous Learning and Innovation :

  • Stay updated with the latest trends and advancements in data science, machine learning, and big data technologies.
  • Propose and implement innovative solutions to enhance datadriven decisionmaking and business processes.

Qualifications :

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field.
  • Proven experience as a Data Engineer, Machine Learning Engineer, or similar role.
  • Strong proficiency in programming languages such as Python, Java, Scala, or R.
  • Experience with big data technologies such as Hadoop, Spark, or Kafka.
  • Knowledge of database systems (SQL, NoSQL) and data warehousing concepts.
  • Strong experience with machine learning techniques and libraries (e.g., TensorFlow, scikitlearn, PyTorch).
  • Experience working with cloud platforms and services (AWS, Azure, Google Cloud).
  • Excellent problemsolving skills and the ability to work in a fastpaced, collaborative environment.
  • Strong communication skills with the ability to explain complex technical concepts to nontechnical stakeholders.
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