We are an orange county start up, in search of an associate level data scientist to join and contribute to our dynamic team. For this role, you will help drive the development of innovative new products and enhance existing products. We need this person to be a high-ranking professional with the training and curiosity to make discoveries in the world of big data, including external focus on solving customer related questions.
What you need for this position:
- phd in computer science, statistics/computational mathematics, or physics
- experience working on machine learning algorithms
- strong coding and implementation experience preferred (over more theory or model design experience)
- knowledge of machine learning, data mining, and predictive analysis
- experience dealing with scalability challenges.
- ability to take the inferences from data and produce decisions from it that will optimize objectives
- ability to transfer knowledge and concepts to the team that is implementing the actual system
- ability to grasp data and see patterns or make inferences at a high level
what you will be doing:
- using predictive modeling, statistics, trend analysis, and other data analysis techniques to collect, explore and identify the right data to be analyzed from internal and external sources
- constructing software systems and algorithms to explain or predict customer behavior and solve a variety of business problems+9 Other Responses
Computational Fluid Dynamics In California
I have started a new cfd (computational fluid dynamics)/ fea (finite element analysis) consulting business a week ago in silicon valley, california. I need some help as to how to get new clients and flourish my business - including marketing approach.+3 Other Responses
Drug Discovery Computational Needs
Topic: understanding computational requirements of a drug discovery startup
type of expert: someone who can answer the below four questions.
Ekambar is an austin based startup that is in the business of providing cloud based computing solutions. We are currently investigating the computational needs of typical drug discovery startups and have the following questions:
1) how does a typical drug discovery startup meet their computational hardware needs? How much do they spend on buying computers / renting cloud resources etc?
2) how does a typical drug discovery startup meet their computational software needs?
3) on an average how many software programmers does a drug discovery startup hire?
4) how much does a drug discovery startup spend on computational resources during its first year (including hardware + software + software engineers)?+5 Other Responses