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Data Scientist Jobs

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Data Scientist
  • Job type: Permanent
  • Location: New York
  • Salary: $150000 - $180000 per annum
  • Description Data Scientist NYC $150,000 – $ 180,000 plus bonus I am working exclusively with a large Data Provider in the Financial Services
Lead Machine Learning Data Scientist
  • Job type: Permanent
  • Location: New York
  • Salary: $250000 - $300000 per annum
  • Description Lead Machine Learning Data Scientist Hedge Fund New York, New York $150,000 - $200,000 Base + Bonus & Benefits ($350K+ First Year Total
Start Up- Lead Data Scientist
  • Job type: Permanent
  • Location: New York
  • Salary: Competitive
  • Description Start Up- Lead Data Scientist   This well funded technology startup located in NYC is currently seeking a Lead Data Scientist to work with the engineering,...
Lead Data Scientist | Munich
  • Job type: Permanent
  • Location: Munich
  • Salary: Competitive
  • Description Role: Lead Data Scientist  Location: Munich  Salary: 100K plus (negotiable)  Report
Senior Data Scientist
  • Job type: Permanent
  • Location: Los Angeles
  • Salary: $200000 - $250000 per annum
  • Description Senior Data Scientist Leading Engagement Advertising Platform Los Angeles, California Circa $200,000 - $250,000 + Equity &
Lead Data Scientist
  • Job type: Permanent
  • Location: New York
  • Salary: $150000 - $200000 per annum
  • Description Lead Data Scientist Financial Services Firm New York, NY Circa: 150k-200k plus bonus and benefits Key Skills: Statistical & Predictive Modeling, Machine Learning.
Sr. Data Scientist
  • Job type: Contract
  • Location: Berlin
  • Salary: Competitive
  • Description Responsibilities: You will be working with state of the art technology, designing and writing machine learning algorithms. You will use statistics in a Big

A data scientist turns a vast amount of data into useful insights that help a company compete and grow. They analyze and interpret data from various sources to come with solutions. Data scientists analyze and organize data such as market research, logistics and sales figures.    
Data scientists have various functions depending on the sector or industry in which they work. They combine practical skills, such as mathematics and coding, with the ability to analyze data and statistics. 

Job Specification, Salary, Outlook
Data scientists should be business and technology focused with an aptitude for statistics and mathematics. Several years of experience and the combination of these two in-demand skills will help a big data engineer to earn an above average salary, and expertise in this area can make for a very lucrative career. For the best career prospects, it’s important to stay up to date with developments and trends in this field.  

Typical employers of data scientists:

  • Research institutions and universities
  • The government
  • Banks
  • Manufacturers
  • Large retailers 
  • Airlines
  • Big data companies 
  • Marketing departments and marketing agencies

So how much do big data engineers earn? It depends on a number of factors, but the average salary for big data engineers in the United States is $91,152 per annum, with a range of $61,546 - $135,400. Factors that affect the level of salary include job location, technical skills, on-the-job experience, and academic background. Salary and other facilities are largely dependent on your ability to deliver results and level of experience. In the UK, an average salary of £38,455 per year can be expected, with a range of £26,121 - £61,460.

Job Description
Data scientists run, use and develop analysis tools for organizations. A data scientist analyzes systems and processes to extract insights from unstructured and structured data. They also evaluate alternate theoretical models and run analytical experiments.  Data scientists take vast amount of data points and use their expertise in programming, statistics, maths and to organize, massage and clean the data. They also apply their technical knowledges and analytical skill to find solutions to business challenges.  

Typical Responsibilities:

  • Developing statistical learning models for data analysis
  • Collaborating with engineering departments and product management to devise solutions 
  • Communicating ideas and results to key decision makers
  • Optimizing development efforts through project design and appropriate database use 
  • Implementing new mathematical or other statistical methodologies for specific analysis or models  
  • Creating clear, tailored and insightful reports
  • Conducting analysis of statistical data to develop strategies
  • Executing analytics projects 
  • Building model training and new algorithms 
  • Identifying trends and data patterns 
  • Creating, maintaining, and managing analytical data
  • Analyzing collected data to develop various predictive models
  • Running diagnostics and detecting anomalies
  • Performing graphical model analysis

Key Skills & Qualifications      
This field is relatively new, so education and training institutions are updating and expanding their offerings and programs to support a career as a data scientist. A degree in computer sciences, mathematics, computer engineering or statistics is required, and a post-graduate degree can be beneficial.

Required job skills:

  • Expertise in data mining/ statistical modeling 
  • Experience in data mining, predictive modeling, and data analysis techniques
  • Experience with SQL Servers
  • Great attention to detail and the ability to problem solve
  • Experience in (or a willingness to learn) database interrogation and analysis tools, such as Hadoop, SQL and SAS
  • Excellent planning and organizational skills
  • A collaborative approach to sharing ideas and finding solutions
  • The ability to prioritize, multitask, and manage time effectively
  • Excellent written and verbal communication skills 
  • Comfortable in both a team-player and leadership role 
  • Goal-oriented and organized team player
  • Knowledge of programming languages such as R or Python
  • Strong database design and coding skills
  • Knowledge of techniques and tools in machine learning 
  • Experience in logistic, genetic algorithms and statistical methods, decision tree analysis, PCA, and linear regression 
  • Good interpersonal and communication skills
  • The ability to articulate trends and opportunities clearly and confidently 

Job Trends  
It is expected that the career opportunities for data scientist will continue to increase in the coming years. Organizations are becoming more and more aware of the value of using big data to make informed, strategic business decisions and to see the big picture.