Sr Data Scientist

Who are we
Fulcrum Digital is an agile and next-generation digital accelerating company providing digital transformation and technology services right from ideation to implementation. These services have applicability across a variety of industries, including banking & financial services, insurance, retail, higher education, food, healthcare, and manufacturing.

The Objective Of The Role:

• Run the production environment by monitoring availability and maintaining a holistic view of system health.
•  Develop software and systems to manage platform infrastructure and applications.
• Improve reliability, quality, and time-to-market of our suite of software solutions.
•  Measure and optimize system performance, aiming to push capabilities forward, anticipate customer needs, and drive continual innovation.
•  Provide primary operational support and engineering for multiple large-scale distributed software applications.

• Gather and analyze metrics from both operating systems and applications to assist in performance tuning and fault finding.
• Partner with development teams to enhance services through rigorous testing and release procedures.
• Participate in system design consulting, manage platforms, and execute capacity planning.
• Create sustainable systems and services through automation and strategic uplifts.
• Balance feature development speed and reliability with well-defined service-level objectives.

Requirements

• Proficiency in Python/R, Hadoop, Spark, MySQL; skilled in documentation for reproducibility.
• Experienced in anomaly detection, machine learning, time-series data, NLP, and various ML tools.
• Hands-on experience with ETL and dashboarding tools like Domo, Alteryx; knowledgeable in ITSM tools like BMC Remedy.
• Experienced in Linux data management, JupyterHub, R applications, data science workbench, AI/ML platforms including Kubernetes; CHEF knowledge is beneficial.
• Expertise in managing data on edge nodes.
• Knowledge of Airflow is highly valuable for platform automation and process workflows.