Data Science & Engineer
Data Science & Engineer
Posted on :
17-05-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Requirements:
Identify businesswide problems translate into data science solutions and be responsible for guiding the project team
Liaise with all business stakeholders effectively from brainstorming data science ideas developing solutions to deploying application
Exhibit deep knowledge in operational research and advanced analytics including knowing how to transform complex data in understandable action items within a business context
Work closely with business stakeholders in automating and building appropriate process visualizations for operational support
Collect analyze screen and manipulate data sets required for modelling and support all decisionmaking process
Perform exploratory data analysis and develop proofofconcept solution using advanced analytics/algorithms machine learning artificial intelligent models mathematical optimization etc
Conduct testing / validation of Machine Learning models model tuning and parameter optimization
Work with Cloud based Big Data platforms and tools to design and deploy applications in collaboration with a global IT team
Integrate data from multiple sources such as databases APIs or streaming platforms to provide a uni ed view
Implement data quality checks and validation processes to ensure the accuracy completeness and consistency
Identify and resolve data quality issues monitor data pipelines for errors and implement data governance and dframeworks
Enforce data security and compliance with relevant regulations and industryspeci c standards
Implement data access controls encryption mechanisms and monitor data privacy and security risks
Optimise data processing and query performance by tuning database con gurations implementing indexing straleveraging distributed computing frameworks
Optimize data structures for e cient querying and develop data dictionaries and metadata repositories
Identify and resolve performance bottlenecks in data pipelines and systems
Collaborate with crossfunctional teams including data scientists analysts and business stakeholders
Document data pipelines data schemas and system con gurations making it easier for others to understand anthe data infrastructure
Monitor data pipelines databases and data infrastructure for errors performance issues and system failures
Set up monitoring tools alerts and logging mechanisms to proactively identify and resolve issues to ensure the and reliability of data.
QUALIFICATIONS & EXPERIENCE :
At least 3 years of experience working as Data Scientist with proven record of building ML/AI models applied to asset management topics within the energy/utility or a related industry and embedding these solutions into business processes
Experience with formulating and solving problems in an optimization framework standard types of optimization problem optimization algorithms development
Pro cient in advanced statistical methods Arti cial Intelligence (AI) / Machine Learning (ML)/ Statistical & mathematic timeseries/AI based forecasting feature engineering dimensionality reduction model optimization
Strong programming skills in Python/R/C or any other related programming languages
Experience in implementing scalable solutions using R/Python/Scala/Spark/Hadoop on batch & realtime data and development Cloud platforms using different PAAS services
Experience in identifying accessing and handling various data sources using a wide variety of tools (API/SQL)
Working experience with MLOps DevOps CI/CD frameworks
Working experience with advanced ML/AI techniques eg. NLP & Deep Learning is a plus
Experience in implementing scalable software systems and knowledge of the principles of faulttolerance reliability an
Demonstrable experience in delivering endtoend data science projects collaborating directly with both technical and business stakeholders
Experience in formalizing business problems as machine learning solutions and translating into actionable insights and
Exhibit interpersonal /communication skills to communicate effectively and articulate thought clearly
PREFERRED SKILLS & CHARACTERISTICS
Team player with good interpersonal communication and problemsolving skills
Able to present complex subjects clearly and coherently to nondomain experts
Bachelors or masters degree in computer science information technology data engineering or a related eld
Strong knowledge of databases data structures algorithms
Proficiency in working with data engineering tools and technologies including knowledge of data integration too. Apache Kafka Azure IoTHub Azure EventHub) ETL/ELT frameworks (e.g. Apache Spark Azure Synapse) big data platform. Apache Hadoop) and cloud platforms (e.g. Amazon Web Services Google Cloud Platform Microsoft Azure)
Expertise in working with relational databases (e.g. MySQL PostgreSQL Azure SQL Azure Data Explorer) and data warehousing concepts.
Familiarity with data modeling schema design indexing and optimization techniques is valuable for building e scalable data systems
Proficiency in languages such as Python SQL KQL Java and Scala
Experience with scripting languages like Bash or PowerShell for automation and system administration tasks
Strong knowledge of data processing frameworks like Apache Spark Apache Flink or Apache Beam for efficient largescale data processing and transformation tasks
Understanding of data serialization formats (e.g. JSON Avro Parquet) and data serialization libraries is valuable
Having experience in CI/CD and GitHub that demonstrates ability to work in a collaborative and iterative develop environment
Having experience in visualization tools (e.g. Power BI Plotly Grafana Redash)
Data Science & Engineer
Education
Degree / diploma
Employment Type
Full Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
