Data Science Engineer

3 weeks ago

Hyderabad, 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 cross-functional 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 non-technical audiences through reports, presentations, and dashboards.

Infrastructure and Tools :

- Work with cloud-based 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 scikit-learn 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 data-driven decision-making 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, scikit-learn, PyTorch).

- Experience working with cloud platforms and services (AWS, Azure, Google Cloud).

- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

- Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

(ref:hirist.tech)

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