Data Science Specialist

2 months ago

Anywhere in IndiaMultiple Locations, IN iXceed Solutions Full time

Job Description :

Key Responsibilities :

1. Model Development and Implementation :

- Design, develop, and deploy advanced data science models and algorithms.

- Ensure models are scalable, maintainable, and optimized for performance.

2. Leadership and Mentorship :

- Lead and mentor a team of data scientists and engineers, providing technical guidance and support.

- Foster a culture of continuous learning and innovation within the team.

3. Collaboration :

- Work closely with product managers, engineers, and business stakeholders to understand data requirements and deliver solutions.

- Collaborate with data engineering teams to ensure seamless integration of data science models into production systems.

4. Research and Innovation :

- Stay current with the latest advancements in data science and machine learning.

- Evaluate and implement new tools, techniques, and technologies to enhance our data science capabilities.

5. Data Analysis and Insight Generation :

- Conduct exploratory data analysis to uncover trends, patterns, and insights.

- Translate complex data into actionable insights and recommendations for business stakeholders.

6. Project Management :

- Lead data science projects from conception to completion, ensuring timely delivery and high-quality results.

- Develop project plans, timelines, and resource allocation.

Qualifications :

Education and Experience :

- Bachelor's or master's degree in computer science, Statistics, Mathematics, or a related field.

- 5+ years of experience in data science, with a proven track record of developing and deploying advanced models.

Technical Skills :

- Experience with Databricks

- Proficiency in programming languages - Python, Pyspark.

- Extensive experience with machine learning frameworks (e.g. , TensorFlow, PyTorch, scikit-learn).

- Strong knowledge of statistical analysis, data mining, and predictive modelling.

- Machine learning algorithms (supervised/unsupervised/deep learning).

- Model evaluations & validation.

- Experience with big data technologies (e.g. , Hadoop, Spark)

- Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their data services.

- AWS knowledge is must.

- Docker, Kubernetes

- Any DB experience, SQL query writing and optimization.

(ref:hirist.tech)

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