Data Scientist

Hire Data Scientists for up to 76% less

$10,390/

month

Average US Salary

$2,390/month

76%

Monthly Salary with Zeptra

Potential Savings

Choose Your Plan:

• Easy Monthly Subscription

• Cost Effective access to skilled professionals

• Ideal for small-to-medium businesses and startups

• Dependable support without hiring costs and liabilities

• Avoids expenses like health benefits, taxes, pensions etc.

Monthly Subscription

Direct Hiring

• One-time flat fee with no hidden charges

• Comes with our 90-day perfect hire guarantee

• Ideal for companies seeking permanent, high-quality team additions

• Full control, without complexities of traditional hiring

• Perfect for established businesses and growing teams

• Streamlined, cost-effective hiring process

Project Based Hiring

• Pay-Per-Hour method

• Skilled professionals for specific tasks or short-term projects

• Expertise without long-term commitment

• Perfect for startups or those launching new initiatives

• Expert support tailored to project goals

Data Scientist Job Description

Tasks:

• Collect, clean, and manipulate large and complex datasets

• Develop predictive models and algorithms to solve business problems using machine learning techniques such as regression, classification, clustering, etc.

• Analyze and interpret data to identify patterns, trends, and insights that drive business growth

• Communicate data-driven insights and recommendations to stakeholders in a clear and concise manner

• Collaborate with cross-functional teams to develop data-driven solutions that address business challenges

• Stay up-to-date with the latest trends and techniques in data science and machine learning

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Ready to work together?

We'll find you amazing remote employees for up to 80% less.

Qualifications:

• Degree in Computer Science, Statistics, Mathematics, or a related field

• Proven experience as a Data Scientist or similar role

• Strong proficiency in data manipulation and analysis

• Experience with machine learning techniques such as regression, classification, clustering, etc.

• Experience with data visualization tools such as Tableau, Power BI, etc.

• Familiarity with big data technologies such as Hadoop, Spark, etc.

• Strong problem-solving skills and attention to detail

• Excellent communication and collaboration skills

• Ability to work independently and as part of a team

• Portfolio showcasing previous work and demonstrating skills and experience"