Akkodis
Akkodis is seeking a
Data Scientist
for a
contract
with a client in
Auburn Hills, MI.
You will be responsible for analyzing complex datasets, designing A/B tests, and collaborating with cross-functional teams to deliver scalable, data-driven solutions.
Rate Range:
$49/hour to 56/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.
Data Scientist job responsibilities include:
Analyze large and complex datasets to identify trends, patterns, and actionable insights. Develop and deploy machine learning models to address business challenges and improve decision-making. Design and implement A/B tests to validate hypotheses and measure feature or product performance. Collaborate with cross-functional teams including data engineers, analysts, and product managers to translate insights into solutions. Communicate findings effectively through visualizations and reports using tools like Tableau, Power BI, or Matplotlib. Build and maintain end-to-end data pipelines on cloud platforms (AWS, Azure) with MLOps and CI/CD integration. Required Qualifications:
Bachelor's or master's degree in data science, Computer Science, Statistics, or a related field. 6-8 years of experience in data science, machine learning, and cloud-based solutions. Expertise in Python or R, advanced SQL, and experience with ML libraries like TensorFlow, XGBoost, and scikit-learn. Proven experience in building end-to-end ML pipelines on cloud platforms (AWS, Azure) with MLOps and CI/CD integration. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at
Vikas.Tomar@
akkodisgroup.com
Pay Details:
$49.00 to $56.00 per hour
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
Equal Opportunity Employer/Veterans/Disabled
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.akkodis.com/en/us/candidate-privacy-policy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
The California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for Employers San Francisco Fair Chance Ordinance
Massachusetts Candidates Only:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Data Scientist
for a
contract
with a client in
Auburn Hills, MI.
You will be responsible for analyzing complex datasets, designing A/B tests, and collaborating with cross-functional teams to deliver scalable, data-driven solutions.
Rate Range:
$49/hour to 56/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.
Data Scientist job responsibilities include:
Analyze large and complex datasets to identify trends, patterns, and actionable insights. Develop and deploy machine learning models to address business challenges and improve decision-making. Design and implement A/B tests to validate hypotheses and measure feature or product performance. Collaborate with cross-functional teams including data engineers, analysts, and product managers to translate insights into solutions. Communicate findings effectively through visualizations and reports using tools like Tableau, Power BI, or Matplotlib. Build and maintain end-to-end data pipelines on cloud platforms (AWS, Azure) with MLOps and CI/CD integration. Required Qualifications:
Bachelor's or master's degree in data science, Computer Science, Statistics, or a related field. 6-8 years of experience in data science, machine learning, and cloud-based solutions. Expertise in Python or R, advanced SQL, and experience with ML libraries like TensorFlow, XGBoost, and scikit-learn. Proven experience in building end-to-end ML pipelines on cloud platforms (AWS, Azure) with MLOps and CI/CD integration. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at
Vikas.Tomar@
akkodisgroup.com
Pay Details:
$49.00 to $56.00 per hour
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
Equal Opportunity Employer/Veterans/Disabled
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.akkodis.com/en/us/candidate-privacy-policy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
The California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for Employers San Francisco Fair Chance Ordinance
Massachusetts Candidates Only:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.