Walkin Interview - Data Scientist - Blackstraw.ai - Bangalore

We at Blackstraw.ai. are organizing a Walk-in Interview Drive for Data Scientist with minimum 4 years exp in

• Data Scientist

  Mini 4 Years Exp in Python, Predictive Analytics ; Statistical Modeling; Data Mining, Data Preprocessing; Predictive Modeling ; ML Models, Forecasting ; Regression Analysis; Linear, Logistic, Polynomial; Time Series Forecasting; Classification ; Clustering ; Neural Networks ; Deep Learning; Natural Language Processing (NLP)

Key Responsibilities:

• Develop and implement predictive models using advanced statistical techniques and machine learning algorithms.
• Perform exploratory data analysis (EDA) to identify trends, anomalies, and opportunities for optimization.
• Build, test, and validate statistical models (regression, time-series forecasting, classification, clustering, etc.) to drive decision-making.
• Collaborate with AI engineers, data scientists, and business stakeholders to translate business challenges into data-driven solutions.
• Deploy models into production environments and monitor their performance, accuracy, and scalability.
• Communicate insights effectively through visualizations, dashboards, and reports for technical and non-technical audiences.
• Continuously explore new methods, tools, and algorithms in AI, ML, and predictive analytics to improve outcomes.
  

Required Skills & Qualifications:

• Education: Bachelors or Masters in Statistics, Mathematics, Computer Science, Data Science, or related field.
• Experience: 4+ years in predictive analytics, statistical modelling, or data science roles (preferably in AI or tech-driven companies).
• Strong knowledge of statistical techniques (regression, hypothesis testing, probability, time-series, multivariate analysis).
• Proficiency in Python / R for modelling, data manipulation, and visualization.
• Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch) and data handling tools (SQL, Pandas, NumPy).
• Exposure to cloud platforms (AWS, GCP, or Azure) for model deployment.
• Strong problem-solving skills with the ability to work on structured and unstructured datasets.
• Excellent communication skills to explain complex analytical results to business teams.
  

Key traits:

• Should have excellent communication skills.
• Should be self-motivated and willing to work as part of a team.
• Should be able to collaborate and coordinate in a remote environment.
• Be a problem solver and be proactive to solve the challenges that come his way.

Important Instructions:

*Please note: Do not carry any electronic devices apart from your mobile phone at office premises.*

*Kindly fill up below form to submit you registration form:

https://forms.gle/HBbTJdoSHYYsd7eeA

Preference will be given for Immediate Joiners or who can join within 10-15 days.