Blackstraw

Responsibilities: ● You would be required to Identify, develop and implement the appropriate statistical techniques, algorithms and Deep learning / ML Models to create new, scalable solutions that address business challenges across industry domains. ● Define, develop, maintain and evolve data models, tools and capabilities. ● Communicate your findings to the appropriate teams through visualizations ● Collaborate and communicate findings to diverse stakeholders ● Provide solutions for but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering , Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization, Gen AI and LLMs. ● Ability to build, train and lead a team of data scientists. ● Follow/maintain an agile methodology for delivering on project milestones. ● Excellent oral, presentation, and written communication skills. ● Experience applying statistical ideas and methods to data sets to answer business problems. ● Mine and analyze data to drive optimization and improvement of product development, marketing techniques and business strategies. Tech Stack: ● Strong Python programming Knowledge- Data Science and Advanced Concepts like Abstract Class, Function Overloading + Overriding, Inheritance, Modular Programming and Reusability ● Cloud Experience in using Azure services, ● REST API using Flask or fastapi frameworks ● Good to have - Pyspark: Spark Dataframe Operations, SQL functions API, Parallel Execution Preferred Qualifications: ● Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree. ● 6 plus years total experience with minimum of 3 years of experience in a related position, as a data scientist building Predictive analytics, Computer Vision, and NLP solutions for various types of business problems. ● Advanced knowledge of statistical techniques, machine learning algorithms and deep learning frameworks like Tensorflow, Keras, Pytorch ● Programming background and expertise in building models using at least one of the following languages: Python, R , C, C++ Job Types: Full-time, Permanent Pay: From ₹1,500,000.00 per year Benefits: Flexible schedule Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Application Question(s): What is your official NP? How strong would you rate yourself in Python on a scale of 10 Work Location: In person

Company Description Blackstraw is a leading Digital Transformation provider specializing in data and artificial intelligence solutions. Our expert team leverages data analytics, AI/ML, and proprietary platforms to help clients unlock the full potential of their data. We cater to a variety of industries, driving actionable insights and achieving business goals. Role Description This is a full-time, on-site role based in Chennai for a Data Engineer. The Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines, building and optimizing data systems, and working closely with data scientists and analysts. Daily tasks include integrating data from various sources, ensuring data quality and reliability, and implementing data governance practices. The role also involves collaborating with cross-functional teams to meet project goals and deadlines. Qualifications Experience in designing and developing visual design mockups, and user interface design Strong front-end development skills and a solid understanding of user experience (UX) principles Proficiency in data integration, data quality, and data governance practices Ability to work collaboratively with cross-functional teams and effectively communicate technical concepts Bachelor's degree in Computer Science, Information Technology, or related field Experience in the AI/ML domain is a plus Excellent problem-solving skills and attention to detail

We are looking for Junior Data Scientist for data science team and help us gain useful insight out of raw data. Machine Learning Expertise: Hands-on experience with ML frameworks NLP Knowledge: Strong understanding of natural language processing, embeddings, and transformer-based models (e.g., BERT, RoBERTa, GPT). Vector Search Tools: Proficiency in tools like FAISS, Milvus, Pinecone, or other ANN libraries. Search Algorithms: In-depth knowledge of similarity search techniques, including cosine similarity, dot-product scoring, and clustering methods. Programming Skills: Strong coding abilities in Python (experience with libraries like NumPy, Pandas, Scikit-learn, Hugging Face Transformers, etc.). Cloud/DevOps Knowledge: Familiarity with cloud platforms (Azure) and containerization/orchestration tools like Docker and Kubernetes. Responsibilities : You would be required to Identify, develop and implement the appropriate statistical techniques, algorithms and Deep learning / ML Models to create new, scalable solutions that address business challenges across industry domains. Define, develop, maintain and evolve data models, tools and capabilities. Communicate your findings to the appropriate teams through visualizations Collaborate and communicate findings to diverse stakeholders Provide solutions for but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering , Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization. Ability to build, train and lead a team of data scientists. Follow/maintain an agile methodology for delivering on project milestones. Excellent oral, presentation, and written communication skills. Experience applying statistical ideas and methods to data sets to answer business problems. Mine and analyze data to drive optimization and improvement of product development, marketing techniques and business strategies. Preferred Qualifications: Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree. 3 plus years total experience with minimum of 2 years of experience in a related position, as a data scientist or business analyst building Computer Vision, NLP and Predictive analytics solutions for various types of business problems. Advanced knowledge of statistical techniques, machine learning algorithms and deep learning frameworks like Tensorflow, Keras, Pytorch Programming background and expertise in building models using at least one of the following languages: Python, R , C, C++ Strong individual planning and project management skills, able to juggle multiple tasks and priorities. Self-motivated and driven to deliver agreed results on-time Ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience Strong influence and relationship management skills.

Responsibilities Build and lead a team of data scientists. You would be required to Identify, develop and implement the appropriate statistical modeling, ML/Deep learning Models to create new, scalable solutions that address business challenges across industry domains. Create business stories and presentation through Data Inferential Analysis Define, develop, maintain and evolve data models, tools and capabilities. Communicate your findings to the appropriate teams through visualizations Collaborate and communicate findings to diverse stakeholders Required Implementation Experience (any 3 or above): Clustering , Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization. Good to have exposure in Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification Preferred Qualification: Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree. 8 plus years total experience with minimum of 5 years of experience in a related position, as a Data Scientist or ML Engineer building Predictive analytics and Machine Learning solutions for various types of business problems. Advanced knowledge of Statistical Modeling, Machine Learning Algorithms, Python Programming. Strong individual planning and project management skills, able to work on more than one responsibilities through right prioritization Self-motivated and driven to deliver agreed results on-time Ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience

We are looking for Senior Data Scientists to lead a data science team and help us gain useful insight out of raw data. Senior Data Scientist responsibilities include managing the data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If you’re also able to align our data products with our business goals, we’d like to talk to you. Your ultimate goal will be to help improve our AI services by making the most out of our client’s data. Responsibilities : You would be required to Identify, develop and implement the appropriate statistical techniques, algorithms and Deep learning / ML Models to create new, scalable solutions that address business challenges across industry domains. Define, develop, maintain and evolve data models, tools and capabilities. Communicate your findings to the appropriate teams through visualizations Collaborate and communicate findings to diverse stakeholders Provide solutions for but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering , Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization. Ability to build, train and lead a team of data scientists. Follow/maintain an agile methodology for delivering on project milestones. Excellent oral, presentation, and written communication skills. Experience applying statistical ideas and methods to data sets to answer business problems. Mine and analyze data to drive optimization and improvement of product development, marketing techniques and business strategies. Preferred Qualifications: Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree. 6 plus years total experience with minimum of 3 years of experience in a related position, as a data scientist or business analyst building Computer Vision, NLP and Predictive analytics solutions for various types of business problems. Advanced knowledge of statistical techniques, machine learning algorithms and deep learning frameworks like Tensorflow, Keras, Pytorch Programming background and expertise in building models using at least one of the following languages: Python, R , C, C++ Strong individual planning and project management skills, able to juggle multiple tasks and priorities. Self-motivated and driven to deliver agreed results on-time Ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience Strong influence and relationship management skills.

We are looking for Senior Data Scientists to lead a data science team and help us gain useful insight out of raw data. Senior Data Scientist responsibilities include managing the data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If you’re also able to align our data products with our business goals, we’d like to talk to you. Your ultimate goal will be to help improve our AI services by making the most out of our client’s data. Responsibilities : You would be required to Identify, develop and implement the appropriate statistical techniques, algorithms and Deep learning / ML Models to create new, scalable solutions that address business challenges across industry domains. Define, develop, maintain and evolve data models, tools and capabilities. Communicate your findings to the appropriate teams through visualizations Collaborate and communicate findings to diverse stakeholders Provide solutions for but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering , Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization. Ability to build, train and lead a team of data scientists. Follow/maintain an agile methodology for delivering on project milestones. Excellent oral, presentation, and written communication skills. Experience applying statistical ideas and methods to data sets to answer business problems. Mine and analyze data to drive optimization and improvement of product development, marketing techniques and business strategies. Preferred Qualifications: Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree. 6 plus years total experience with minimum of 3 years of experience in a related position, as a data scientist or business analyst building Computer Vision, NLP and Predictive analytics solutions for various types of business problems. Advanced knowledge of statistical techniques, machine learning algorithms and deep learning frameworks like Tensorflow, Keras, Pytorch Programming background and expertise in building models using at least one of the following languages: Python, R , C, C++ Strong individual planning and project management skills, able to juggle multiple tasks and priorities. Self-motivated and driven to deliver agreed results on-time Ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience Strong influence and relationship management skills.