Data Scientist

Job Description:

Position involves building predictive models, pattern recognition, natural language processing, and a creative application of theory to create useful algorithms.

Position requires an advanced degree (Masters or PhD) in data science, computer science, or an equivalent quantitative field as well as 2-5 years of experience in data analytics.

Strong/Expert level experience in Python

Skills - Python, Machine learning, Deep learning, MongoDB, Elastic Search, Flask/Fast API/Django

Skills: Advanced applied statistics, Machine Learning, Deep Learning, Python , Visual Dashboards(Tableau/Splunk/Power BI etc), DBMS-Oracle/SQL Server/MongoDB/Elastic Search,

Cloud Technologies Azure/AWS etc, Flask/Fast API/Django

Proficient in Understanding Business needs, Conversion of business objective into Data and model needs. Analyze the system and data

Strong problem solving, quantitative and analytical abilities.

Experience in monitoring, managing, manipulating and drawing insights from data.

Experience using machine learning algorithms, data analytics strong algorithmic thinking and good programming skills will be useful.

Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.

Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.

Experience working in areas such as data warehousing, databases, data visualization, statistics, data analysis, A/B Experiments, reporting, basic machine learning and modeling.

Knowledge of statistical modeling techniques: multiple regression, logistic regression, log-linear regression, variable selection, etc.

Working on unstructured data with Advanced NLP embeddings(BERT, Transformers etc)

Expertise in deriving insights from large amounts of data is mandatory

Ability to work with large data sets and to interpret them statistically is expected.

Experience working with and creating databases and dashboards using all relevant data to inform decisions.

Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.