Incorporated in the US, in 2005, Skoruz Technologies has business operations in the Silicon Valley-USA, Costa Rica, Netherlands, Bangalore-India,Malaysia, Singapore, Dubai. Skoruz has also ventured into Risk and Reputation Management services to help companies negate phishing attacks, fake reviews, fake representations and fake articles with the help of advanced Artificial Intelligence (AI). Skoruz Technologies is a Unique Software Services & Solutions provider with demonstrated track-record of excellence in Systems Integration across multiple business processes. Our global operations base of 300+ Technology Consultants gives us the ability to attract retain and nurture top talent. We offer Managed Application & Infrastructure Services, Location Based Services, Consumer Analytics, Custom Application Services & Professional services to some of the marquee clients across Geographies.

What You will Do:

- You should have previous experience working on globally distributed teams. We do not expect you to always know the answer, but you should be able to communicate with your fellow data scientists across the globe. Primary responsibilities gathering requirements, sourcing data, managing client relationships, and communicating results.

- Develop analytical solutions that bring critical insights to a variety of different problems such as targeting customers and segmenting markets, product design, marketing optimization, demand forecasting and brand valuation, profit and price analyses, fraud detection.

- Research and develop novel machine learning and statistical techniques to solve complex business problems.

Role Summary :

- We are looking for a Senior Data Scientist to help us create innovative machine learning solutions. Your responsibilities include understanding the business problem and experimenting with different modelling architectures to create the best possible setup from model performance as well as computational performance.

- To do this job successfully, you need exceptional skills in Machine Learning and Programming. Your ultimate goal will be to find the best data-based solution for the problem at hand.

- Please apply only if you have strong hands-on experience (>8 years) in solving complex business problems through advanced ML & DL techniques. Deep Learning Model Development experience is a must for this role.

Job Description :

- 9+ years- industry experience (or 5+ years with a post-graduate degree in a quantitative discipline such as applied mathematics, computer science, statistics etc.) in a data science, advanced analytics or machine learning team.

- Understanding business objectives and formulating the problem as a Data Science problem

- Design, train, and deliver Data Science solutions using all modalities (tabular, text, image) and of all sizes(small, or big data)

- In-depth understanding of deep learning building blocks like MLP, RNN, LSTM, CNN, Transformers.

- Proficiency with at least one Deep Learning Framework such as PyTorch, Tensorflow, etc.

- Develop and maintain robust data processing pipelines and reproducible modelling pipelines

- Experience serving clients in Retail, CPG, Manufacturing, Transportation, Pharma/Healthcare, logistics would be preferred.

- Explore data and communicate insights clearly to non-technical as well as technical audience

- Analyze experimental results, iterate and refine models to create significant business impact

- Proficiency in applied machine learning, optimization, statistical and probabilistic modeling techniques in relevant problem areas such as forecasting, text mining/NLP techniques, clustering, personalization and recommendation engines.

- Strong theoretical understanding of statistical techniques, machine learning algorithms and their mathematical underpinnings

- Strong capabilities in SQL and experience working with databases and distributed data (MySQL, PostGreSQL, SQL Server, RedShift, SparkSQL, Hive, Pig)

- Experience with the Python Data stack and machine learning frameworks (e.g. Numpy, Pandas, Dask, scikit-learn, mlr, caret, H2O, TensorFlow, PyTorch, Caffe,MLlib) is required.

- Demonstrable experience in exploratory data analysis (Jupyter, D3, Tableau, RStudio), distributed data frameworks (Hadoop, Spark, Hive, Presto etc.), code review and version control tools, batch and streaming data pipeline orchestration (Airflow, Azkaban, Luigi, Kafka), containerization (Docker, Kubernetes etc.) and deployment (Jenkins) is required.

- Strong interpersonal and communication skills and ability to communicate with cross-functional stakeholders

- Examples of relevant domain expertise: predictive modeling, customer journey modeling, computational advertising, demand forecasting, recommender systems, cohort analysis and insights generation, graph/text mining

- Ability to thrive in an unstructured environment, working autonomously on a strong team to find opportunity and deliver business impact

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