Senior Data Scientist

Location: Bengaluru

Back

At BCE Global Tech we are on a mission to modernize global connectivity, one connection at a time. We aim to build the highway to the future of communications, media and entertainment, determined to emerge as a powerhouse within the technology landscape in India team in Bengaluru.

We bring ambitions to life through design thinking that bridges the gaps between people, devices and beyond, fostering unprecedented customer satisfaction through technology.

Our core values support a customer-centric approach and the harnessing of cutting-edge technology to provide business outcomes with positive societal impact. Guided by innovation and a commitment to progress, we're shaping a brighter future for the generations of today and tomorrow.

If you would like to be a part of a team of thought-leaders pioneering advancements in 5G, MEC, IoT and cloud-native architecture, we'd love to hear from you.

We are looking for an Intermediate Software Developer to join our dynamic team and contribute to the development of high-performance applications.

Key Responsibilities

Design and train predictive models, including deep learning models, to optimize key business outcomes and address complex challenges.
Engineer impactful features and build robust, automated data pipelines to support model training and inference.
Rigorously analyze model performance and systematically fine-tune models to maximize business metrics.
Build and deploy scalable, low-latency, production-grade applications to serve models in a production cloud environment.
Use a production-first mindset to consult on project feasibility and help shape technical strategy, balancing performance, time, and cost.
Design and validate new processes, products, and advanced ML techniques through experimentation and testing.
Analyze large structured and unstructured datasets to identify insights and propose strategies to address complex technical challenges.
Communicate complex findings and strategic recommendations to technical and non-technical audiences concisely and effectively.
Proactively engage with team members to accomplish individual and group goals, providing technical mentorship to other data scientists.
Continuously seek new opportunities to develop and apply new skills towards the improvement of data science processes and technical methodologies.
Establish comprehensive monitoring for model performance and data drift, using insights to drive continuous improvement.
Document complex model architectures, deployment processes, and data pipelines to ensure maintainability.

Critical Qualifications

Bachelor's degree in a discipline such as Computer Science, Data Science, Engineering, Applied Math, or a related field.
5+ years of relevant work experience in a data science or machine learning role with demonstrated history of project ownership and delivery.
Proven experience in designing, training, and deploying machine learning models into production environments with measurable impact.
Extensive experience working in a cloud environment (GCP is preferred, but cloud skills are transferable).
Expert proficiency in SQL and Python, with strong ability to write clean, efficient, and reusable code for both model training and application development.
Expertise in a wide range of machine learning algorithms, statistical methods, and deep learning frameworks (e.g. scikit-learn, Keras, Tensor Flow, PyTorch).
Experience building Python-based applications to serve model predictions for online inference.
Experience applying Natural Language Processing techniques to build solutions using unstructured data.
Expertise with using Git in a collaborative team environment.

Proven ability to perform statistical analysis to validate model performance and business impact.

Strong communication and presentation skills, with the ability to convey complex technical concepts to both technical and non-technical audiences.

Demonstrated experience in providing technical mentorship to other data scientists.

What We Offer

Competitive salaries and comprehensive health benefits.
Flexible work hours and remote work options.
Professional development and training opportunities.
A supportive and inclusive work environment.