Data Analytics Engineer - Sensor Data for Sports Wearable

StanceBeam is a dynamic startup at the forefront of revolutionising sports tech through cutting-edge Sports analytics. Join our Bangalore-based team as a Data Analytics Engineer! If you're passionate about sports, thrive in start-up environments, and enjoy working on exciting Sports wearable projects, this is your role! As a proactive team player, you'll love experimenting, taking responsibility, and leading from the front. In this position, you'll collaborate closely with the Product Head to research, design, implement, and manage a highly scalable Sports Analytics Wearable Solution. This opportunity is perfect for someone with an analytical mindset who enjoys working in a start-up environment.

Role Overview:

We seek a skilled Data Analytics Engineer with expertise in processing and analysing multi-sensor data, particularly on accelerometers, gyroscopes, and magnetometers. The ideal candidate will implement sensor fusion algorithms to combine data from multiple sensors and transform complex motion, orientation, and magnetic field data into actionable insights.

 

Key Responsibilities

- Design and implement efficient C-based data processing pipelines for multi-sensor data analysis

- Develop sensor fusion algorithms to combine accelerometer, gyroscope, and magnetometer data for precise orientation tracking

- Create robust calibration procedures for sensor data

- Implement advanced filtering techniques for noise reduction across all sensor types

- Design and optimize algorithms for activity recognition and motion classification

- Create validation procedures to ensure data quality across all sensors

- Implement efficient data structures for handling multi-sensor datasets

- Design visualization tools for 3D orientation and movement analysis

- Document methodologies and maintain technical documentation

Required Qualifications

- Bachelor's or Master's degree in Computer Science, Engineering, or related field

- 1+ years of experience in sensor data analysis 

- Strong understanding of accelerometer, gyroscope, and magnetometer principles

- Expert-level proficiency in C programming language

- Experience with sensor fusion algorithms and techniques

- Strong background in 3D geometry, transformations, and coordinate systems

Technical Skills

- Programming: C (expert level)

- Sensor Fusion: Complementary filters, Kalman filters

- Mathematics: Linear algebra, quaternions, rotation matrices

- Data Processing: 

  * Accelerometer: Linear acceleration, gravity compensation

  * Gyroscope: Angular velocity, drift correction, rotation tracking

  * Magnetometer: Magnetic field calibration, soft/hard iron compensation

- Activity Recognition: Motion pattern analysis

- Data Structures: Arrays, matrices, quaternion implementations

- Visualization: 3D visualization tools 

- Experience in fitness tracker or wearable device development

- Knowledge of advanced sensor fusion algorithms

- Experience with large dataset handling and optimisation

What We Offer:

- An exciting opportunity to be part of a pioneering team in sports technology and wearable

- A chance to work on projects that blend passion for sports with cutting-edge technology.

- A collaborative, agile, and diverse work environment.

- Competitive salary and equity options.