DataBeat - Data Scientist - Predictive Modeling & Machine Learning (3-6 yrs)

Job Title : Data Scientist

Summary :

We are seeking a highly motivated and skilled Data Scientist to join our growing team.

As a Data Scientist, you will play a crucial role in extracting actionable insights from our data, building predictive models, and developing data-driven solutions that directly impact business decisions.

You will work on a variety of challenging projects, collaborating with cross-functional teams and stakeholders.

This role requires a strong understanding of statistical methods, machine learning techniques, and excellent communication skills.

The ideal candidate is a self-starter who thrives in a fast-paced environment and is passionate about leveraging data to solve complex problems.

Responsibilities :

- Collect, clean, and preprocess data from diverse sources (databases, APIs, web scraping, log files).

- Develop and implement data quality checks and validation procedures.

- Handle missing data, outliers, and inconsistencies effectively.

- Conduct in-depth exploratory data analysis to identify patterns, trends, and anomalies.

- Visualize data using appropriate tools and techniques to gain a deeper understanding of the underlying data structure.

- Formulate hypotheses and identify potential areas for further investigation.

- Develop and implement statistical models and machine learning algorithms (regression, classification, clustering, time series analysis).

- Select appropriate models based on the problem context and data characteristics.

- Train, evaluate, and fine-tune models to achieve optimal performance.

- Experience with Deep Learning models is a plus.

- Design and engineer new features from existing data to improve model performance and extract valuable insights.

- Apply domain expertise to create meaningful features that capture relevant information.

- Deploy and maintain machine learning models in production environments.

- Monitor model performance over time and retrain models as needed to ensure accuracy and relevance.

- Create clear and compelling data visualizations and dashboards to communicate insights to stakeholders.

- Present findings in a concise and understandable manner, tailoring the communication to the audience.

- Collaborate effectively with cross-functional teams (product, engineering, marketing) to understand business requirements and translate them into data-driven solutions.

- Participate in code reviews and adhere to best practices in data science.

- Stay up to date with the latest advancements in data science and machine learning.

- Explore new techniques and tools to improve existing processes and develop innovative solutions.

- Familiarity with Large Language Models (LLMs) and Generative AI (GenAI) models is desirable.

- Maintain thorough documentation of all code, models, and analyses.

- Ensure that all work is well-documented and easily reproducible.

Requirements :

Education : Master's degree in data science, Computer Science, Statistics, Mathematics, or a related field Ph. preferred.

Experience : 3+ years of experience in data science, data analysis, or a related role.

- Proficiency in Python, including experience with relevant libraries (pandas, NumPy, scikit-learn, TensorFlow, PyTorch).

- Strong understanding of machine learning algorithms and techniques, including experience with model selection, training, and evaluation.

- Experience with Deep Learning frameworks is a plus.

- Solid understanding of statistical methods and hypothesis testing.

- Proficiency in data visualization tools and libraries (Matplotlib, Seaborn, Plotly, Tableau).

- Experience with data cleaning, transformation, and preprocessing techniques.

- Excellent written and verbal communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.

- Strong analytical and problem-solving skills, with the ability to identify and address complex challenges.

- Ability to work effectively in a team environment and collaborate with cross-functional teams.

- Familiarity with Large Language Models (LLMs) and Generative AI (GenAI) models is a plus.

Preferred Qualifications :

- Experience with cloud computing platforms (AWS, GCP, Azure).

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

- Experience with containerization technologies (Docker, Kubernetes).

- Contributions to open-source projects.

- Publications in peer-reviewed journals or conferences