Senior Data Scientist - Bengaluru, India - Mopid

    Mopid
    Mopid Bengaluru, India

    3 weeks ago

    Default job background
    Technology / Internet
    Description

    Job Title: Senior Data Scientist

    Location: Bangalore, India

    Employment Type: Full Time

    Experience: 5 to 8 years

    Position Overview:

    As a Senior Data Scientist at Meraki, you will play a pivotal role in driving data-driven decision-making and developing advanced analytical solutions. You will work closely with cross-functional teams to identify business opportunities, design experiments, build predictive models, and deploy scalable solutions that have a significant impact on our business outcomes.

    Key Responsibilities:

    1. Lead the end-to-end development of predictive models and machine learning algorithms to address business challenges and opportunities.

    2. Collaborate with stakeholders to understand business requirements and translate them into actionable data science projects.

    3. Utilise advanced statistical techniques and machine learning algorithms to analyse large datasets and extract meaningful insights.

    4. Develop and maintain data pipelines for efficient data ingestion, processing, and transformation.

    5. Evaluate the performance of machine learning models and fine-tune them for optimal results.

    6. Stay abreast of the latest developments in data science, machine learning, and related fields, and incorporate best practices into our methodologies.

    7. Mentor junior members of the data science team and provide guidance on complex technical issues.

    8. Communicate findings and recommendations to technical and non-technical stakeholders through clear and compelling presentations.

    Qualifications:

    1. Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.

    2. 8 to 12 years of experience in data science, with a proven track record of delivering impactful solutions in a corporate or research environment.

    3. Strong proficiency in programming languages such as Python or R, along with experience using libraries such as TensorFlow, PyTorch, or Scikit-learn.

    4. Expertise in machine learning techniques such as regression, classification, clustering, and deep learning.

    5. Hands-on experience with big data technologies such as Hadoop, Spark, or similar frameworks.

    6. Experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying and scaling machine learning models is preferred.

    7. Excellent problem-solving skills and ability to thrive in a fast-paced, collaborative environment.

    8. Strong communication and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.