Data Scientist In Embedded System Solutions Job in L4b Software

Job Description We are seeking a highly skilled and motivated Data Scientist with a strong understanding of embedded systems to join our team. You will effectively utilize previous analyst experience in Data processing (cleaning, analysis, elicitation, categorization/clustering). As a Data Scientist, you will be responsible for collecting, analyzing, and interpreting complex data sets to extract valuable insights and support decision-making processes. Additionally, your exposure to embedded systems will be crucial in developing innovative solutions that integrate data science techniques with hardware and embedded software. Responsibilities: 1. Data Collection, clustering, and Analysis: - Identify relevant data sources and implement methods to gather data from various systems and devices, including embedded systems. - Clean, pre-process, and validate data to ensure accuracy and reliability. - Apply statistical and machine learning techniques to analyze large datasets and derive meaningful insights. 2. Modeling and Algorithm Development: - Develop and implement predictive models, algorithms, and simulations to solve complex problems in embedded systems. - Design experiments and perform statistical analysis to validate models and algorithms. - Optimize models for efficient performance on embedded platforms, considering computational constraints and resource limitations. 3. Embedded System Integration: - Collaborate with cross-functional teams to integrate data science methodologies into embedded systems, including hardware and firmware development. - Design and implement real-time data processing and analysis algorithms for embedded systems. - Ensure seamless communication between embedded systems and data infrastructure for efficient data collection and processing. 4. Insights and Reporting: - Communicate complex findings and insights in a clear and concise manner to both technical and non-technical stakeholders. - Generate reports, visualizations, and dashboards to present data effectively-driven insights. - Provide recommendations based on data analysis to support strategic decision-making processes. 5. Research and Innovation: - Stay updated with the latest advancements in data science, machine learning, and embedded systems. - Explore new technologies, methodologies, and tools that can enhance the performance and capabilities of embedded systems. Requirements 1. Education and Experience: - Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, Statistics, or a related field. - Strong experience in data analysis, statistical modelling, and machine learning techniques. - Solid understanding of embedded systems, including hardware, firmware, and real-time data processing. 2. Technical Skills: - Proficiency in programming languages such as Python, R, and C/C++. - Experience with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, matplotlib, sea born). - Familiarity with machine learning frameworks (e.g., scikit-learn, Keras, TensorFlow, PyTorch). - Knowledge of embedded system development tools, such as Raspberry Pi, or any other micro controllers. - Good to have an understanding of real-time operating systems and communication protocols (e.g., MQTT, SPI, I2C). 3. Pragmatic and Problem-Solving Approach: - Strong analytical thinking and problem-solving skills to tackle complex data-related challenges. - Ability to design and implement algorithms for real-time data processing on embedded platforms. - Proficient in experimental design, statistical analysis, and model evaluation techniques. 4. Communication and Collaboration: - Excellent verbal and written communication skills to convey technical concepts to diverse audiences. - Ability to collaborate effectively with cross-functional teams, including engineers, developers, and business stakeholders. 5. Adaptability and Self-learning Orientation: - Proactive and adaptable mindset to thrive in a dynamic and fast-paced environment. - Eagerness to learn and explore new technologies, methodologies, and domains. Benefits An open, team-oriented corporate culture Modern office in Balewadi, Pune Exciting working environment Share with us a passion for state-of-the-art technology Health insurance and provident fund Unique team spirit - join our team of international experts in our multicultural office Flexible working hours for a healthy work-life balance in our hybrid model (3 days from office) Various perks and corporate events that we offer to our full-time employees Open fridge policy: fresh fruit and chocolate, hot beverages, and Soft drinks for free- whatever you wish to keep you running