Senior Data Scientist

1 month ago

Hyderabad, Telangana, India MINFY TECHNOLOGIES PRIVATE LIMITED, Full time

Company Profile :

Minfy is an award-winning cloud native Systems Integrator with specialised capabilities in end-to-end digital transformation.

Minfy offers 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 hand-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 (eg. 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 Behavorial 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

(ref:hirist.tech)

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