Data Scientist - Python/Machine Learning (2-12 yrs)

About role :

We are actively seeking talented Data Scientists & Analysts proficient in Python to join our ambitious team dedicated to pushing the frontiers of AI technology. This opportunity is tailored for professionals who thrive on developing innovative solutions and aspire to be at the forefront of AI advancements. You will work with companies in the US looking to develop cutting-edge commercial and research AI solutions.

You will write effective Python code to tackle complex issues but also use your business sense and analytical abilities to glean valuable insights from public databases, fix bugs in the code, and create thorough documentation. The ideal candidate will communicate clearly with researchers and help the organization in realizing its objectives, and clearly express the reasoning and logic when writing code in Jupyter notebooks, or other suitable mediums. It will also utilize extensive data analysis skills to develop and respond to important business queries using available datasets (such as those from Kaggle, the UN, the US government, etc.)

Required Skills :

- Bachelor's/Master's degree in Engineering, Computer Science (or equivalent experience)

- Atleast 2 years of relevant experience in Data Science or Data Analysis

- Atleast 2 years of experience working with Python programming

- A desire to have a significant impact on the field of artificial intelligence

- Strong data analytic abilities and business sense are required to draw the appropriate conclusions from the dataset, respond to those conclusions, and clearly convey the key findings

- Excellent problem-solving and analytical skills

- Excellent communication abilities to work with stakeholders and researchers successfully

- Fluent in conversational and written English communication skills

Responsibilities :

- Selecting features, building and optimizing classifiers using machine learning techniques

- Data mining using state-of-the-art methods

- Extending company's data with third party sources of information when needed

- Enhancing data collection procedures to include information that is relevant for building analytic systems

- Processing, cleansing, and verifying the integrity of data used for analysis

- Doing ad-hoc analysis and presenting results in a clear manner

- Creating automated anomaly detection systems and constant tracking of its performance

Skills and Qualifications :

- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.

- Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc depending on specific project requirements.

- Excellence in at least one of these is highly desirable

- Great communication skills

- Experience with data visualisation tools, such as D3.js, GGplot, etc.

- Proficiency in using query languages such as SQL, Hive, Pig actual list depends on what you are currently using in your company

- Experience with NoSQL databases, such as MongoDB, Cassandra, HBase depending on project needs

- Good applied statistics skills, such as distributions, statistical testing, regression, etc.

- Good scripting and programming skills if you expect that the person in this role will integrate the solution within the base application, list any programming languages and core frameworks currently being used

- Data-oriented personality