Data Scientist

Job description
Position: Data Scientist
Desired Experience: 3-8 years
You will act as a key member of the Data consulting team, working directly with the partners and senior stakeholders of the clients designing and implementing data strategy. You will be responsible for developing and maintaining environments and automations. You will also collaborate with CTO and Product Owner to provide technical support and identify new requirements. Communication and organisation skills are keys for this position, along with a problem solving attitude.
Your expertise
3+ years in an analytics role, preferably with direct experience in big data solutions & approaches
SME in statistics, analytics, big data, data science, machine learning, deep learning, cloud, mobile, and full stack technologies.
Hands-on experience analysing large amounts of data to derive actionable insights
Database background (SQL, Hadoop, Apache Spark or other Big Data platforms) will be a distinct advantage.
Broad Machine Learning experience - Algorithm Evaluation, Preparation, Analysis, Modelling and Execution.
Working knowledge on traditional statistical model building (Example: Regression, Classification, Time series, Segmentation etc.), machine learning (Random forest, Boosting algos, SVM, KNN etc), deep learning (CNN,RNN,LSTM,Transfer learning) and NLP (Stemming, Lemitization,Named entity extraction, Latent semantic analysis etc).
Experience in building analytical/data science solution proposals
Good communication skills and partnerships with technology, product strategy, and data office.
Experience collaborating and influencing senior leaders, business partners across time zones.
Self-starter and autonomous; work with a global team and demonstrate a strong sense of ownership.
Degree in statistics, mathematics, operations research, economics, engineering or information science.
A strong portfolio of GitHub, Kaggle, IP contributions.
You are:
A committed and visionary team player with analytical and logical mind-set (you can solve problems like nobody's business)
Well organized with an innate sense of how to prioritize across a complex environment
A hands-on person with natural instincts to support our customers
Curious, collaborative and constantly interested in learning new things
Fluent in English and eager to work in an English Speaking Global Team
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