AppTestify - Lead Data Scientist - Machine Learning

We are seeking an experienced Sr Data Scientist with expertise in data science and natural language processing. The ideal candidate will have a minimum of 5+ years of relevant experience, a good understanding of data science, natural language processing and the ability to communicate complex technical concepts effectively.

As a Sr Data Scientist, you will play a critical role in analyzing data, identifying patterns and selecting algorithms to meet customer needs. Your role will be critical to set the right approach to solve understand and use customer data effectively

Exp : 5 to 10 Yrs.

Mandatory Skills : Data Scientist, Machine Learning, Python.

Np : Immediate Joiners Only.

Key Responsibilities :

- Analyze large, complex datasets to identify patterns, trends, and actionable insights that address business and customer needs.

- Define the right analytical and machine learning approach to solve problems involving structured and unstructured customer data.

- Design, develop, and validate statistical models and machine learning algorithms for regression, classification, time series forecasting, clustering, and anomaly detection.

- Apply Natural Language Processing (NLP) techniques to extract insights from text data and improve data-driven decision-making.

- Perform data preprocessing, cleaning, feature engineering, and transformation using Python, SQL, Spark, or related tools.

- Select, train, evaluate, and fine-tune machine learning and deep learning models using frameworks such as scikit-learn, TensorFlow, or PyTorch.

- Deploy and monitor models in production environments, ensuring performance, scalability, and reliability.

- Design and analyze A/B tests and experiments to measure the impact of models and data-driven initiatives.

- Create clear visualizations, dashboards, and reports to communicate findings and recommendations to technical and non-technical stakeholders.

- Collaborate closely with product, engineering, and business teams to translate business requirements into analytical solutions.

- Mentor junior data scientists and contribute to best practices, reusable frameworks, and documentation.

- Stay current with advancements in data science, machine learning, NLP, and generative AI, and apply relevant innovations to business problems.

Primary Skills :

- Proficiency in hypothesis testing, regression, clustering, and experimental design.

- Classical ML models for regression, classification, time series and anomaly detection.

- Expertise in Python for data manipulation, analysis, and modeling (e.g., Pandas, NumPy, scikit-learn).

- Machine Learning : Experience with supervised/unsupervised learning, NLP, and model deployment (e.g., TensorFlow, PyTorch).

- Data Wrangling : Cleaning, transforming, and structuring raw data using SQL, Spark, or similar tools.

- Data Visualization : Ability to communicate insights via tools like Tableau, Power BI, or Matplotlib/Seaborn

- Big Data Technologies : Familiarity with Spark and cloud platforms (AWS, GCP, Azure).

- Communication : Translating technical findings into actionable business recommendations for non-technical stakeholders.

Secondary Skills :

- Deep Learning : Knowledge of neural networks, generative AI or agentic frameworks.

- A/B Testing : Designing and analyzing results of experiments

- Software Engineering : Understanding of CI/CD, APIs, and containerization (Docker, Kubernetes).