Short Description:
Affine, a global leader in AI and data solutions, seeks a Data Science Consultant for its Bokaro location. The role involves leading client discussions, designing solutions, and collaborating with a diverse team across continents. The ideal candidate should possess hands-on experience with structured and unstructured data, excel in statistical procedures and Machine Learning, and be proficient in Python, SQL, and Excel. The consultant will contribute to transformative projects, mentor junior resources, and engage in a collaborative culture focused on innovation and continuous learning. Affine offers a dynamic work environment, career advancement opportunities, and a chance to shape industries through cutting-edge projects.
Job Title: Data Science Consultant
Location: Bokaro, India
About Our Company:
At Affine, we are a global leader in professional services and solutions, specializing in AI, data engineering, and cloud technologies. Our dedicated team of over 500 analytics professionals operates across North America, Europe, and Asia, committed to empowering global enterprises through innovative applications of Artificial Intelligence, data engineering, and cloud technologies.
Joining Affine means becoming part of a dynamic, inclusive work environment that values collaboration, creativity, and continuous learning. Our diverse team, representing a blend of talent, expertise, and cultural backgrounds, engages in cutting-edge projects across various sectors such as manufacturing, gaming, consumer packaged goods, media and entertainment, travel, and technology. As an Affine employee, you'll have the opportunity to contribute to transformative projects that shape industries and redefine the future.
We invest in our people, fostering growth through professional development, mentorship programs, and diverse career advancement paths. Affine encourages innovation and thought leadership through strong connections with esteemed institutions like UC Berkeley and premier Indian Institutes of Technology, ensuring that our team stays at the forefront of industry advancements. We nurture a collaborative culture where ideas are valued, and teamwork is celebrated, inspiring you to push boundaries, solve complex challenges, and make a lasting impact on the world.
Job Description:
Responsibilities:
- Lead discussions with clients to understand Data Science requirements, finalize project scope with stakeholders, and develop solutions in collaboration with the team.
- Demonstrate substantial hands-on experience in handling structured and unstructured data, including extraction, cleaning, and comprehension.
- Independently analyze data and extract meaningful insights, defining workflows for daily or periodic tasks based on project requirements.
- Contribute actively to brainstorming sessions, providing valuable input on project nuances.
- Utilize skills in GenAI, LLM, CNN, RNN, Feed Forward/Back Propagation Network, and Hyperparameter Tuning.
- Possess good knowledge of Natural Language Processing, Verbatim Analysis, Speech to Text, and vice versa using alternative approaches/techniques.
- Comfortable with statistical procedures, including basic distributions, regressions, logistic models, Time Series, and Computer Vision.
- Experience with advanced statistics and Machine Learning algorithms is a plus.
- Develop clear analytical solutions to address business problems, leveraging domain knowledge and statistical procedures as required.
- Effectively represent project proceedings and findings through presentations.
- Mentor junior resources and foster a learning environment within the team.
Technical Competencies Required:
- Proficient in solution design and storyboarding.
- Expertise in Statistical Modelling, Machine Learning, and Natural Language Processing (Generative AI) using R and/or Python.
- Strong understanding of Object-Oriented Programming concepts (OOPS) and proficiency in Python.
- Familiarity with SQL, PowerPoint, and Excel.
- Skills in statistical procedures, including basic distributions, regressions, logistic models, Time Series, and Computer Vision.
- Knowledge of PySpark, Scala (a plus), Deep Learning models, Big Data environments (Hadoop, Hive), and Cloud platforms (AWS, Azure, GCP).
- Understanding of Docker/Kubernetes/CICD Pipeline.
- Experience with Visualization tools such as Grafana, PowerBI, and Tableau (good to have).
Job Requirements:
Mandatory Skills:
- Statistical Modelling or Machine Learning
- Python
- SQL
- Excel
Good to Have:
- Visualization tools (Grafana/Power BI/Tableau)
Please click here to apply.
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