Greetings from DSRC!!!

DSRC provides competitive compensation that is revised purely on performance, flexible work hours & friendly work environment. At DSRC you will have opportunity not only to learn but also explore your area of interest with respect to technology and also effectively use the skills acquired over few years of IT experience.

Experience: 3 to 5 years

Requirement: Data Scientist

Work from home will be available on an optional basis.

Requirements:

• Degree or higher in computer science, data science, engineering or physics.
• Three years’ experience working in a related role.
• Hands-on experience on data science coding and languages such as Python (NumPy, pandas, scikit-learn, Jupyter Notebook).
• Experience in optimisation, data analytics, data visualisation and AWS services.
• Knowledge of machine-learning methods and statistical concepts such as: forecasting, segmentation and causal inference.
• Familiarity with DevOps practices and tools such as Airflow, Docker, Kubernetes.

Responsibilities:

• Develop and deploy machine learning models for forecasting and optimisation of energy demand and generation of distributed energy resources such as solar, wind, and energy storage.
• Analyse large datasets to identify trends, patterns, and anomalies in the energy market.
• Employ ML approaches and advanced statistical procedures to obtain actionable insights and cross-validating models to ensure their generalizability.
• Perform data analytics, and ad hoc analysis using Python (NumPy, pandas, scikit-learn, Jupyter Notebook), SQL, Power BI, Auto-ML or other business intelligence software.
• Collaborate with cross-functional teams to design and implement data-driven solutions.
• Create and maintain dashboards and reports to communicate insights to stakeholders and support decision-making.
• Stay current with industry trends and emerging technologies in data science and the energy market.