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Data Scientist

Mindlance

Role overview

Qualifications

  • Master of Science degree in computer science or in a relevant field
  • Experienced in programming languages such as Python and/or R
  • Experience working with large datasets
  • SQL (must have)

Responsibilities

  • Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement
  • Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data
  • Generate and test hypotheses and analyze and interpret the results of product experiments
  • Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation

Key facts

Hard skills

Other skills

  • Communication
  • Analytical Thinking

About the company

Mindlance logo

Mindlance

Staffing & Recruiting

Founded in 1999, Mindlance is one of the largest diversity-owned staffing firms in the US and has been on SIA’s list of Fastest Growing US Staffing Firms for 10 years. Mindlance has also been recognized as one of the consistently best performing partners to industry-leading MSP programs including Allegis, Kelly, TAPFIN, PROUnlimited, Pontoon, GRI, WorkforceLogiq and Agile-1.What started with contingent staffing has developed to a comprehensive portfolio of workforce solutions. Along with industry specific, talent-centric staffing across a range of specializations- Technology, Engineering, Scientific, Clinical Research, Digital, Creative, Marketing, Profession, Mindlance provides Managed Recruitment services- RPO and Direct + Diverse Sourcing, and Pay+ Services- EoR/Payroll, IC Compliance and AoR.Mindlance is also generating alternative talent pipelines that prioritize diversity through three Diverse Talent Acceleration offerings: (1) RebootTalent, a diverse returning talent acceleration service (2) Mindlance Diversphere, a private diverse talent pool aggregated from a network of diversity partnerships and (3) Quintrix Solutions, an upskilling recruit-train-deploy service.With a year-over-year growth rate of 20% and an annual revenue of over $400 million and growing, the Mindlance story is one of calculable achievement, made meaningful by the commitment to grow a mindful way that creates balance in the work and societal ecosystem.Visit www.mindlance.com to learn more about us and our latest job openings.STAFFING INDUSTRY ANALYSTS RECOGNITIONS:Fastest Growing U.S. Staffing Firms (2022, 2021, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011)Largest U.S. Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015)Largest Diversity-Owned U.S. Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015)Largest IT Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017)Largest Clinical & Scientific Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017)

Company details

Company typeLarge
IndustryStaffing & Recruiting
Company size1001 - 5000

Links

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Job description


The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.



Job Responsibilities:

• Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.

• Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.

• Generate and test hypotheses and analyze and interpret the results of product experiments.

• Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.

• Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.



Skills:

• Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau.

• The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.

• Experience working with large datasets.



Skill Sets –
- experimentation, A/B Testing is top skill
- SQL (must have)
- Python/R (python preferred)
- Data Modeling
- Some survey experience but don’t need expertise.

Education/Experience:

• Master of Science degree in computer science or in a relevant field.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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