Data Scientist - Senior
Data Scientist - Senior

Data Scientist - Senior

Full-Time 78000 - 132000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Use advanced analytics to solve complex business problems and drive insights.
  • Company: Join a leading client in Columbus, OH with a focus on data science.
  • Benefits: Competitive pay, health benefits, and a supportive recruiting team.
  • Why this job: Make an impact with cutting-edge machine learning and AI technologies.
  • Qualifications: Experience in data science, machine learning, and strong communication skills.
  • Other info: Hybrid work model with opportunities for career growth.

The predicted salary is between 78000 - 132000 £ per year.

Genesis10 is seeking a Data Scientist: III (Senior) for a hybrid 3-month contract to hire position with a leading client in Columbus, OH. Compensation: $65 per hour W2; Conversion salary $105k with a 15% bonus.

As we advance our data science and analytics capabilities, we want experts in modeling complex business problems and discovering business insights using statistical, algorithmic, mining, and visualization techniques. The Senior Data Scientist contributes to building and developing the organization's data infrastructure and supports the senior leadership with insights, management reports, and analysis for decision-making processes.

Responsibilities:

  • Performs advanced analytics methods to extract value from business data.
  • Performs large-scale experimentation and builds data-driven models to answer business questions.
  • Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
  • Determines requirements that will be used to train and evolve deep learning models and algorithms.
  • Articulates a vision and roadmap for the exploitation of data as a valued corporate asset.
  • Influences product teams through presentation of data-based recommendations.
  • Evangelises best practices to analytics and products teams.
  • Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring.

Requirements:

  • Up-to-date knowledge of machine learning and data analytics tools and techniques.
  • Strong knowledge in predictive modeling methodology.
  • Experienced at leveraging both structured and unstructured data sources.
  • Willingness and ability to learn new technologies on the job.
  • Demonstrated ability to communicate complex results to technical and non-technical audiences.
  • Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines.
  • Strategic, intellectually curious thinker with focus on outcomes.
  • Professional image with the ability to form relationships across functions.
  • Strong experience with R/RStudio, Python, SAS, SQL, NoSQL.
  • Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker).
  • Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret).
  • Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling.
  • Financial Services background preferred.
  • 1-3 years' work and/or educational experience in machine learning or cloud computing, experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping, and scalable data pipelines and experience with big data analysis tools and techniques.
  • Master's degree in computer science, statistics, economics or related fields.

Benefits:

  • Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years.
  • The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years.
  • Access to an experienced, caring recruiting team (more than 7 years of experience, on average).
  • Behavioral Health Platform.
  • Medical, Dental, Vision.
  • Health Savings Account.
  • Voluntary Hospital Indemnity (Critical Illness & Accident).
  • Voluntary Term Life Insurance.
  • 401K.
  • Sick Pay (for applicable states/municipalities).
  • Commuter Benefits (Dallas, NYC, SF).

Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Data Scientist - Senior employer: Genesis10

Genesis10 is an exceptional employer that prioritises employee growth and well-being, offering a supportive work culture where data science professionals can thrive. With access to a diverse range of clients and a dedicated recruiting team, employees benefit from ongoing career development opportunities and comprehensive health benefits, all while working in the vibrant city of Columbus, OH.
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Contact Detail:

Genesis10 Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist - Senior

✨Tip Number 1

Network like a pro! Reach out to your connections in the data science field and let them know you're on the hunt for a new gig. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your best projects, especially those involving machine learning and data analytics. This will give potential employers a taste of what you can do and set you apart from the competition.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and practising common data science interview questions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals like you to join our team!

We think you need these skills to ace Data Scientist - Senior

Machine Learning
Deep Learning
Statistical Analysis
Predictive Modeling
Data Visualization
R/RStudio
Python
SAS
SQL
NoSQL
Cloud Machine Learning Technologies
TensorFlow
scikit-learn
Bayesian Networks Inference
Big Data Analysis

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with machine learning, data analytics tools, and any relevant projects that showcase your skills. We want to see how you can bring value to our team!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with the job description. We love seeing enthusiasm and a clear connection to the role.

Showcase Your Technical Skills: Don’t forget to list your technical skills prominently. Mention your experience with R, Python, SQL, and any cloud technologies you've worked with. We’re looking for someone who can hit the ground running, so make it easy for us to see your expertise!

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Let’s get started on this journey together!

How to prepare for a job interview at Genesis10

✨Know Your Data Tools

Make sure you're up to speed with the latest machine learning and data analytics tools mentioned in the job description. Brush up on your skills in R, Python, and any cloud technologies like AWS Sagemaker. Being able to discuss your hands-on experience with these tools will show that you're not just familiar but also capable of using them effectively.

✨Prepare for Technical Questions

Expect to dive deep into predictive modelling methodologies and statistical methods during the interview. Prepare to explain complex concepts like Bayesian Networks or regression models in a way that's easy to understand. Practising how to articulate these ideas will help you communicate effectively with both technical and non-technical audiences.

✨Showcase Your Problem-Solving Skills

Be ready to discuss specific examples where you've used data to solve complex business problems. Think about times when your insights influenced decision-making or improved processes. This will demonstrate your ability to own the model development process and provide valuable recommendations.

✨Ask Insightful Questions

At the end of the interview, don’t shy away from asking questions that show your interest in the company’s data strategy. Inquire about their current projects or challenges they face in data analytics. This not only shows your enthusiasm but also helps you gauge if the role aligns with your career goals.

Data Scientist - Senior
Genesis10
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  • Data Scientist - Senior

    Full-Time
    78000 - 132000 £ / year (est.)
  • G

    Genesis10

    100-200
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