Data Scientist (Remote)

Salary: $10 - $20 Lacs PA per Year
Job Type: Full time
Experience: Senior Level

V2soft

Data Scientist (Remote)

Data Scientist | V2soft | Worldwide

Greetings from V2SOFT.

Interested Candidates – Please send your updated resume to– kkumarpn@v2soft.com

Position – Data Scientist

Experience – 7 – 12yrs

...

Data Scientist | V2soft | Worldwide

Greetings from V2SOFT.

Interested Candidates – Please send your updated resume to – kkumarpn@v2soft.com

Position – Data Scientist

Experience – 7 – 12yrs

Location : Remote

Mandatory skills – Data Scientist, Automotive Data, AWS, AI, ML, Time series, Text data, Python.

Automotive domain, Telematics, Real time streaming data.

Job Description :

Key Responsibilities:

  • Machine Learning & AI:
  • Develop and implement machine learning models and algorithms for predictive analytics, anomaly detection, and classification tasks using real-time and historical data.
  • Experiment with and deploy advanced AI techniques, including deep learning, reinforcement learning, and natural language processing, as applicable to automotive data.
  • Data Science & Modeling:
    • Design and build statistical models to analyze telematics data and vehicle performance, including regression, clustering, and time-series analysis.
    • Utilize feature engineering techniques to extract relevant features from complex datasets and improve model accuracy.
  • Real-Time Data Processing:
    • Create and maintain scalable data pipelines to handle real-time streaming data from automotive sensors and telematics systems.
    • Implement real-time analytics solutions to monitor and respond to data changes instantaneously.
  • Automotive Domain Expertise:
    • Apply domain knowledge to develop models that enhance vehicle performance, optimize driver behavior, and predict maintenance needs.
    • Collaborate with automotive engineers to integrate data science solutions into vehicle systems and applications.
  • Data Visualization & Interpretation:
    • Build interactive dashboards and visualizations to convey complex data insights and model results to stakeholders.
    • Interpret model outputs and translate them into actionable recommendations for product development and business strategy.
  • Research & Innovation:
    • Stay current with the latest developments in data science, machine learning, and AI to bring cutting-edge techniques and tools to the team.
    • Conduct research to explore new methodologies and technologies that could be applied to automotive data science challenges.
  • Collaboration & Communication:
    • Work closely with cross-functional teams, including engineers, product managers, and data engineers, to align data science efforts with business goals.
    • Present findings and insights to technical and non-technical audiences, including executive leadership.

    Qualifications:

    • Education:
    • Bachelors or Masters degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field.
  • Experience:
    • Proven experience in data science roles with a focus on machine learning, AI, and predictive modeling.
    • Experience working with real-time/streaming data and telematics is highly desirable.
    • Background in the automotive industry or with automotive data is a plus.
  • Skills:
    • Proficiency in programming languages such as Python, R, or Java.
    • Hands-on experience with machine learning, deep learning frameworks and libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Keras).
    • Knowledge of statistical analysis and modeling techniques (e.g., regression, classification, clustering).
    • Familiarity with data processing tools and frameworks (e.g., Apache Kafka, Apache Flink, Spark).
    • Strong skills in feature engineering, model evaluation, and algorithm tuning, MLOps.
    • Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn, ggplot) and techniques.
    • Excellent problem-solving abilities, with a knack for deriving actionable insights from complex datasets.
  • Preferred:
    • Experience with deep learning and reinforcement learning techniques.
    • Knowledge of vehicle communication protocols (e.g., CAN bus) and telematics systems.
    • Familiarity with cloud-based machine learning services and platforms (e.g., AWS SageMaker, Google AI Platform, Azure ML).

    Interested Candidates can send your updated resume to : kkumarpn@v2soft.com

    Regards

    Kiran

    Tagged as: remote, remote job, virtual, Virtual Job, virtual position, Work at Home, work from home

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