| Need Principal Data Scientist in Boston, MA or Seattle, WA for onsite position at Boston, Massachusetts, USA |
| Email: [email protected] |
| Hello, Pleasure emailing you. We have one urgent requirement from one of our client. Can you please go through the requirement and let me know if you would be interested for this position. Can you please send me your updated resume along with the best hourly rate and availability Job Title: Principal Data Scientist Location: Boston, MA or Seattle, WA (Onsite) Duration: 12+ Months Requirements Required to have Bachelors/Masters/Ph.D. in Statistics/Machine Learning/Data Science/Analytics /Computer Science or Engineering from premier institutes. Preferred to have PhD in Data Science/Analytics/Computer Science. Should have 12-15 years hands-on experience in algorithms and implementation of analytics solutions in predictive analytics, text analytics and image analytics. Should have 5+ years of experience in leading a team of data scientists, works closely with clients technical team to plan, develop and execute on client requirements providing technical expertise and project leadership. Exposure to Healthcare / Pharma informatics would be an added advantage Functional Role and Responsibilities Leads efforts to foster innovative ideas for developing high impact solutions Evaluates and leads broad range of forward-looking analytics initiatives, track emerging data science trends, and knowledge sharing. Engaging key stakeholders to source, mine and validate data and findings and to confirm business logic and assumptions in order to draw conclusions. Helps in design and develop advanced analytic solutions across functional areas as per requirement/opportunities. Technical Role and Responsibilities Demonstrated strong capability in statistical/Mathematical modelling or Machine Learning or Artificial Intelligence Demonstrated skills in programming for implementation and deployment of algorithms preferably in Statistical/ML based programming languages in Python. Sound Experience with traditional as well as modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods. Visualization tool experience - preferably with Tableau or Power BI Sound knowledge of ETL practices preferably spark in Data Bricks cloud big data technologies like AWS, Google, Microsoft, or Cloudera. Communicate complex quantitative analysis in a lucid, precise, clear and actionable insight. Developing new practices and methodologies using statistical methods, machine learning and predictive models under mentorship Carrying out statistical and mathematical modelling, solving complex business problems and delivering innovative solutions using state of the art tools and cutting-edge technologies for big data beyond. Thanks & Regards Prem M US IT Recruiter Desk num:732-847-0921 Email : [email protected] | www.tekskillsinc.com linkedin: https://www.linkedin.com/in/prem-m-39338b233/ INDIA | USA | CANADA | UK I AUSTRALIA ISO 9001:2015 | Appraised at CMM Level 3 | WMBE Certified Company -- Keywords: machine learning business intelligence information technology golang Massachusetts Washington |
| [email protected] View all |
| Thu Aug 10 23:42:00 UTC 2023 |