Sr. Data Scientist

Minfy is an award-winning cloud native Systems Integrator with specialised capabilities in end-to-end digital transformation. Minfy offers a full bouquet of consulting and delivery services working backwards from business imperatives. Minfy has exclusive digital maturity frameworks to translate business goals into Intelligent application/platform engineering, unlocking data value for organisation competitiveness and leveraging the power of cloud infrastructure. Minfy highlights: Minfy has won AWS India Partner of year awards three times. Recognised as Fastest growing companies by the financial times. Minfy has operations in the US, Australia, South-East Asia, and India. Key practices include AI/ML, Data & Analytics, Intelligent Application Engineering, Cloud Migration and Modernisation, and Site Reliability Engineering. Industry Focus: Logistics, Manufacturing, HCLS, FSI, Aerospace & Satellite. Leadership team from Global Majors – AWS, Microsoft, Deloitte, Capgemini, Infosys, PWC. Job Description: As a Data Scientist, you will play a key role in turning complex data into actionable insights that drive business decisions. You will collaborate with cross-functional teams to identify opportunities, conduct rigorous analyses, and develop scalable solutions to achieve business objectives. Required Skills: 5+ years of experience in Data Science. Excellent knowledge and experience of Python and SQL. Strong interest in exploring all aspects of data and possess the ability to communicate insights effectively, while also concentrating on the technical solutions underlying them. Proficient in analysing and modelling big data utilizing statistical, machine learning, and deep learning techniques. Expertise in transforming ambiguous questions into impactful experiments, analysis, or models. Familiarity with modelling requirements for Customer 360 and Customer Journey. Experience with Machine Learning platforms (AWS Sage maker, Databricks), Data Pipelines (Spark, Airflow), CI/CD, GitHub, and visualisation (Power BI/Tableau). Have a degree in a quantitative field such as Computer Science/Engineering, Mathematics, Statistics, or Economics, with an advanced degree being desirable. Must have worked hands-on in the delivery of 1-2 scale projects. Must understand the nuances of Software delivery. Must understand and have worked on Data Engineering platforms. Job Responsibilities: Utilise machine learning and deep learning models to create consumer intelligence, such as Next Best Action, Behaviour Models, and Churn, for customer-centric business teams. Write production level test-driven code in Python and SQL. Analyse large datasets to uncover insights that inform marketing and customer-centric investments. Plan and execute experimentation initiatives, ensuring cross-functional alignment, robust analysis, and practical insights. Develop data-driven products that provide clear insights and recommendations to non-technical audiences through visualisations and presentations. Work collaboratively with product managers, senior scientists, engineers, and other team members in an agile and scrum environment to fulfil modelling needs. Preferred: Experience with deploying ML model in production. Proficient knowledge of and experience with analytics, knowledge base construction, with particular focus on machine translation, and transformers. Proficiency with exploratory data analysis, statistics and working with unstructured textual data. Good to have, Experience with ML platforms such as Apache Spark, AWS Sage maker, Vertex AI, etc. Experience with programming languages (e.g.: Java/Python, SAS) and SQL. Experience with Py Spark, and visualisation tools like Tableau, Excel, and PowerPoint. Experience working in AWS cloud. Knowledge of ML Ops will be an added advantage. Experience working with user Behavioural analytics. Knowledge of natural language processing tools such as NLTK, CoreNLP, Gensim, spaCy, OpenNLP, UIMA, GATE, etc. Proficiency in machine learning tools such as TensorFlow, Keras, Caffe, Theano, MLLib, PyTorch, scikit-learn, etc. Advanced experience in NLP, pattern recognition, predictive modeling, and evolving AI techniques. Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects. About Company: Minfy Technologies is a Cloud Native System Integrator helping enterprises, start-ups and fast-growing businesses navigate digital journeys leveraging cloud technologies. We assist our customers in accelerating Digital Transformation, Cloud Adoption and Innovation. Our transformative services include Cloud Consulting, Migration & Legacy Modernisations, Cloud-Native Application Development and DeepTech implementations while offering reliable and world-class 24x7 managed services. With over 300+ cloud engagements, Minfy, as a premier AWS Consulting partner, Azure Gold Partner and Google Consulting Partner has invested heavily to build deep capabilities and competencies to address complex needs. Office Address: Hive Space, Whitefields, Kondapur, Opp. Lane of Jayabheri Silicon Valley, Hyderabad-500084, Telangana.

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