Neudesic is currently seeking Senior Data Scientists. This role requires the perfect mix of being a brilliant technologist and also a deep appreciation for how technology drives business value. You will have broad and deep technology knowledge and the ability to architect solutions by mapping client business problems to end-to-end technology solutions. Demonstrated ability to engage senior level technology decision makers in data management, real-time analytics, predictive analytics and data visualization is a must.
To be successful, you must exhibit strong leadership qualities necessary for building trust with clients and our technologists, with the ability to deliver ML/DL projects to successful completion. You will partner with solution architects to drive client success by providing practical guidance based on your years of experience in data management and visualization solutions. You will partner with a diverse sales unit to professionally represent Neudesic experience and ability to drive business results. In addition, you will assist in creating sales assets that clearly communicate our value proposition to technical decision makers.
Experience: 6+yrs
Primary Skills: Python. SQL,ML,NLP,Data models,Data Insights
Strong mathematical skills to help collect, measure, organize and analyze data.
Knowledge of programming languages like SQL and Python
Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
Proficiency in statistics and statistical packages like Excel to be used for data set analyzing.
Knowledge of data visualization software like PowerBI is desirable.
Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions.
Problem-solving skills
Adept at queries, writing reports, and making presentations.
Team-working skills
Verbal and Written communication skills
Proven working experience in data analysis.
Job Description 2:
- Expertise on a broad set of ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian Non-Parametric methods, model preparation and selection (feature engineering, PCA, model assessment), and modeling techniques (optimization, simulation)
- Proficiency in data analysis, modeling, and web services in Python. GPU programming experience.
- Natural Language Processing experience – Ontology detection/Named Entity recognition and disambiguation and Predictive Analytics experience a plus.
- Familiarity with existing ML stack (Azure Machine Learning, scikit-learn, Tensorflow, Keras and others)
- SQL/NoSQL experience
- Experience with Apache spark with Databricks or similar platform for crunching massive amount of data
- Experience in leveraging AI in the CX (Customer Experience) domain a plus: Service (Topic Analysis, Aspect based sentiment analysis, NLP in Service context), Pre-Sales (Segmentation and Propensity Models) as well as Customer Success (Sentiment analysis, Best-Agent to Route, Churn Prediction, Customer Health Score, Recommender Systems for Next Best Action) using Machine Learning and Data Science for Recurring Revenue based business models
Software Development Skills
- Experience in SQL and development experience in at least one scripting language (Python, Perl, etc.), and one high level programming language (Java)
- Experience in containerized applications on cloud (Azure Kubernetes Service), cloud databases (Azure SQL), and data storage (Azure Data Lake Storage, File storage)
More about our Predictive Enterprise Service Line:
The digital business uses data as a competitive differentiator. The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in business understanding and customer engagement. The availability of massive amounts of information, massive computing power and advancements in artificial intelligence allow the digital business to more accurately predict, plan for and capture opportunity unlike ever before. The predictive enterprise service line the evolution from using data strictly as a reporting mechanism of what’s happened to leveraging the latest in advanced analytics to predict and prescribe future business action. Our services include:
- Data Management Solutions: We build architectures, policies, practices and procedures that manage the full data lifecycle of an enterprise. We bring internal and exogenous datasets together to formulate new perspectives and drive to data-thinking.
- Self-Service Data Solutions: We create classic self-service and modern data-blending solutions that enable end-users to enrich pre-authored analytic reports by blending them with additional data sources.
- Real-Time Analytic Solutions: We build real-time analytics solutions on data-in-motion that eliminate the dependency on stale and static data sets resulting in the ability to immediately query and analyze diverse data sets.
- Machine Learning Solutions: We build machine-learning solutions that support the most complex decision support systems
Neudesic is an Equal Opportunity Employer
Neudesic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.
Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here: https://www.ibm.com/us-en/privacy?lnk=flg-priv-usen