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Skills Required

azure computer science master's degree analysis skills bachelor's degree machine learning communication skills python

Work Mode

On-site

Job Type

Full Time

Job Description

Job Information

    Assigned Recruiter(s)

    Sreegiri R

    Date Opened

    10/17/2025

    Job Type

    Full time

    Industry

    IT Services

    Work Experience

    3-5 years

    City

    Thiruvananthapuram

    State/Province

    Kerala

    Zip/Postal Code

    695001

    Country

    India

About Us

Blue Ripples Technologies is a dynamic technology company that develops impactful software across multiple platforms. Established in 2012, we have a strong foundation in Digital Transformation with special focus on Legacy System upgrades. From enterprises to visionary new start-ups, we have been part of some powerful digital solutions that have transformed lives. Now, it’s your turn.

Job Description

We are looking for a talented and experienced Data Scientist to join our dynamic team. As a Data Scientist, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our projects. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems.

Responsibilities

  • Data Analysis and Exploration
o Analyze large, complex datasets to identify trends, patterns, and relationships.
o Conduct exploratory data analysis (EDA) to gain insights and formulate hypotheses.
o Utilize statistical methods and data visualization techniques to communicate findings effectively.

  • Predictive Modeling and Machine Learning
o Handson experience in analyzing and developing forecasting models using timeseries data
o Develop and deploy predictive models using machine learning algorithms.
o Perform feature engineering, model selection, and hyperparameter tuning to optimize model performance.
o Ensure that model always meet the relevant evaluation metrics.

  • Data Mining and Pattern Recognition
o Apply data mining techniques to extract actionable insights from structured and unstructured data.
o Identify patterns and anomalies in data to detect fraud, predict customer behavior, or optimize business processes.
o Implement clustering, classification, regression, and other machine learning algorithms as needed.

  • Experimentation and A/B Testing
o Design and conduct experiments to test hypotheses and validate model assumptions.
o Implement A/B testing frameworks to evaluate the impact of changes and interventions.
o Analyze experimental results and provide recommendations for further optimization.

  • Collaboration and Communication
o Excellent story telling and presentation skills
o Collaborate with cross-functional teams, including engineers, product managers, and business stakeholders.
o Translate technical findings into actionable insights and recommendations for non-technical audiences.
o Present findings and proposals in clear, concise, and compelling ways.


Requirements

  • Bachelors or Masters in Computer Science or Statistics.
  • 3 to 5 years of proven experience in data science, machine learning, or predictive
analytics roles.
  • Working knowledge in azure cloud platform is preffered
  • Proficiency in programming languages commonly used in data science (e.g., Python
etc).
  • Strong understanding of statistical analysis, hypothesis testing, and experimental
design.
  • Experience with machine learning libraries and frameworks (e.g., TensorFlow, scikit
learn, PyTorch, etc.).
  • Familiarity with data visualization tools and techniques (e.g., Matplotlib etc.).
  • Excellent problem-solving and analytical skills with attention to detail.
  • Effective communication and collaboration abilities in a team environment.
  • Ability to manage multiple projects and prioritize tasks effectively.


Benefits

  • Competitive salary and benefits.
  • Opportunities for high-speed professional growth and development.
  • Collaborative and supportive work environment.
  • Medical insurance
  • OP Allowance
  • Statutory Benefits like PF, ESI, LWF, Gratuity
  • Training (Technical & Soft skills)

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