Senior Applied Scientist | Motion Sensing, DSP & ML

Keka Technologies Private Limited; Hyderabad; On-site; INR 7,000,000 - 11,000,000; Full time

Job summary

Keka Technologies Private Limited is seeking a Senior Applied Scientist focused on Motion Sensing, DSP and ML in Hyderabad. You will turn sensor data into robust, production-ready intelligence and collaborate with hardware, firmware, and motion algorithms teams.

Responsibilities include building real-time data pipelines, designing ML models for event detection, and optimizing GPS filtering and feature extraction from motion data.

Qualifications

• Strong expertise in DSP and time-series ML.
• Hands-on analysis of IMU and GPS data.
• Proficiency in Python data stack and ML libraries.
• Background in statistics, linear algebra, and signal processing.

Responsibilities

• Analyze large-scale real-time sensor data from accelerometers, gyroscopes, IMUs and GPS.
• Design and develop ML models for motion analysis, event detection and pattern recognition.
• Perform signal conditioning, noise reduction and feature extraction from time-series.
• Develop sensor fusion algorithms and improve GPS filtering/map matching.
• Define data collection strategies and coordinate with app/firmware teams.
• Build data pipelines for ingestion, cleaning, training and evaluation.
• Contribute to dashboards/monitoring for data health and model performance.
• Analyze user/sensor data to generate actionable insights and improvements.

Skills

Digital Signal Processing

ML for time-series

IMU/motion data analysis

GPS/geospatial analysis

Python (NumPy/SciPy/Pandas)

Statistics & probability

Linear algebra

Signal processing

Physics of motion

Feature engineering

Deep learning for time-series

Sensor fusion (Kalman)

Real-time/streaming data

Data visualization

Embedded systems constraints

Wearables/mobility/safety

Sports analytics/mobility platforms

End-to-end ML lifecycle

Tools

NumPy

SciPy

Pandas

TensorFlow

PyTorch

Kalman filters

GPS filtering

Map matching

Data visualization tools

Job description

Senior Applied Scientist | Motion Sensing, DSP & ML

5+ Years

Full-Time

Senior Applied Scientist | Motion Sensing, DSP & ML

Location:

Experience:

4–8 years

Job Overview

We are looking for a highly analytical and research-driven Applied Data Scientist with deep expertise in Digital Signal Processing (DSP) , machine learning , and sensor data analytics . This role focuses on building intelligent models and extracting insights from high-frequency motion and GPS data, enabling advanced features for safety, activity tracking, and event detection.

You will work closely with Motion Algorithms, Firmware, and Hardware teams to transform raw sensor data into robust, production-ready intelligence and drive innovation in motion-based systems.

Key Responsibilities

• Analyze large-scale, real-time sensor datasets from:
  • Accelerometers
  • Gyroscopes
  • IMUs and other motion sensors
  • GPS and location systems
• Design and develop machine learning models for:
  • Motion analysis and classification
  • Event detection (crash, fall, slip, impact, etc.)
  • Behavioral and activity pattern recognition
• Signal conditioning and noise reduction
• Feature extraction from time-series data
• Work closely with Motion Algorithms Engineers to:
  • Develop and refine sensor fusion algorithms
  • Improve GPS filtering and map matching techniques
• Define and execute data collection strategies :
  • Ensure high-quality labeled datasets
  • Work with app/firmware teams to capture relevant signals
• Perform feature engineering and feature analysis for model performance optimization
• Build and maintain data pipelines and processing workflows for:
  • Data ingestion
  • Cleaning and preprocessing
  • Model training and evaluation
• Contribute to dashboarding and monitoring systems to track:
  • Data health
  • Model performance
  • Anomalies and edge cases
• Analyze user, sensor, and system data to generate:
  • Actionable insights
  • Usage patterns
  • Algorithm improvement opportunities

R&D and Innovation Responsibilities

• Lead research and development for new motion-based features and detection systems
• Explore and implement novel approaches for:
  • Crash detection
  • Event classification
  • Sensor-based intelligence
• Collaborate on data architecture design with Motion Algorithms Engineers
• Conduct deep data analysis for feature discovery and validation
• Write technical documentation, white papers, and research reports
• Contribute to intellectual property (IP) development:
  • Patent drafting
  • Novel algorithm design

Required Skills & Qualifications

• Strong expertise in Digital Signal Processing (DSP)
• Strong experience in machine learning for time-series data
• Hands-on experience with IMU and motion sensor data analysis
• Experience working with GPS data and geospatial analysis
• Strong proficiency in:
  • Python (NumPy, SciPy, Pandas, ML libraries)
  • Data analysis and modeling tools
• Strong foundation in:
  • Statistics and probability
  • Linear algebra
  • Signal processing
• Good understanding of physics (mechanics, motion dynamics)
• Experience with feature engineering and model evaluation

Preferred Qualifications

• Experience with deep learning for time-series data (LSTM, Transformers, etc.)
• Familiarity with sensor fusion techniques (Kalman filters, etc.)
• Experience working with real-time or streaming data systems
• Exposure to data visualization and dashboarding tools
• Familiarity with embedded systems constraints
• Experience in wearables, mobility, or safety systems
• Experience in sports analytics or mobility platforms
• Prior work in crash detection, biomechanics, or safety systems
• Experience in end-to-end ML lifecycle

Soft Skills

• Strong analytical and research mindset
• Ability to translate raw data into meaningful insights and models
• Excellent collaboration across algorithm, firmware, and hardware teams
• Strong documentation and communication skills

Cross-Functional Collaboration

• Partner with Motion Algorithms Engineers to co-develop algorithms and data pipelines
• Work with Firmware Engineers to ensure high-quality data capture and labeling
• Collaborate with Hardware Engineers to understand sensor characteristics and limitations
• Support product and backend teams with insights, metrics, and data-driven decisions

Key Priority Requirements

• Expertise in Motion data analysis - GPS, Accelerometers, Gyroscopes, etc.
• Expertise in Digital Signal Processing - Filtering on data
• Expertise in ML Model development on Motion data
• Expertise in Physics and Mathematical Modelling of Events